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24,4634,4643,4653,4661,4669,4678,4687,4696,4704,4710,4717,4722,4729,4734,4742,4747,4755,4760,4769,4776,4782,4790,4795,4803,4809,4822,4829,4837,4844,4852,4860,4867],{"@type":87,"@id":88,"schema:additionalType":89,"schema:identifier":90,"schema:headline":91,"schema:author":92,"schema:datePublished":100,"schema:isPartOf":101},"schema:ScholarlyArticle","https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.applthermaleng.2026.129741","USED","10.1016\u002Fj.applthermaleng.2026.129741","Numerical study on battery thermal management system with surrounding-filled triply periodic minimal surface and phase change material",[93,94,95,96,97,98,99],"Rongqing Bao","Zhaohui Wang","Shixiang Xiong","Shousheng Hong","Hao Wang","Bowen Zhang","Hongxia Wang",2026,"Applied Thermal Engineering",{"@type":87,"@id":103,"schema:additionalType":89,"schema:identifier":104,"schema:headline":105,"schema:author":106,"schema:datePublished":100,"schema:isPartOf":113},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.compchemeng.2026.109720","10.1016\u002Fj.compchemeng.2026.109720","State of charge prediction for lithium-ion batteries under complex operating conditions and full temperature ranges via VMD-PatchTST",[107,108,109,110,111,112],"Jianwei Xu","Long Chen","Shujie Wu","Jinge Zheng","Hongliang Sun","Aziguli Wulamu","Computers & Chemical Engineering",{"@type":87,"@id":115,"schema:additionalType":89,"schema:identifier":116,"schema:headline":117,"schema:author":118,"schema:datePublished":100,"schema:isPartOf":124},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.enconman.2026.121164","10.1016\u002Fj.enconman.2026.121164","Electrochemical model fitting of lithium-ion cells considering temperature-dependent transport properties",[119,120,121,122,123],"Facundo Rivoir","Álvaro Fogué Robles","Santiago Martínez-Boggio","Erika Téliz","Antonio García","Energy Conversion and Management",{"@type":87,"@id":126,"schema:additionalType":89,"schema:identifier":127,"schema:headline":128,"schema:author":129,"schema:datePublished":100,"schema:isPartOf":135},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.epsr.2026.112976","10.1016\u002Fj.epsr.2026.112976","A framework for SOC estimation of lithium-ion batteries towards cross-domain transfer",[130,131,132,133,134],"Honggang Xie","Xinxin Yi","Jinyang Huang","Shaole Ru","Wei Xiong","Electric Power Systems Research",{"@type":87,"@id":137,"schema:additionalType":89,"schema:identifier":138,"schema:headline":139,"schema:author":140,"schema:datePublished":100,"schema:isPartOf":135},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.epsr.2026.113502","10.1016\u002Fj.epsr.2026.113502","An adaptive model predictive control strategy with long short-term memory-based state estimation for battery electro-thermal equalization",[141,142,143,144,145,146,147,148,149,150,151,152],"Bing Ren","Deya Peng","Yuchen Wang","Sanping Wang","Yichen Wang","Shenbao He","Y J Zhang","Zhihao Deng","Bin Zhang","Xin Xiang","Kejia Zhuang","Zunqi Xiao",{"@type":87,"@id":154,"schema:additionalType":89,"schema:identifier":155,"schema:headline":156,"schema:author":157,"schema:datePublished":100,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2025.120241","10.1016\u002Fj.est.2025.120241","State estimation of Lithium batteries based on adaptive outlier robust filter",[158,159,160],"Zhonghua Yun","Wenhu Qin","Chao Wu","Journal of Energy Storage",{"@type":87,"@id":163,"schema:additionalType":89,"schema:identifier":164,"schema:headline":165,"schema:author":166,"schema:datePublished":100,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2025.120244","10.1016\u002Fj.est.2025.120244","A multi-step State of Charge prediction method for lithium-ion batteries based on a Dual-stage framework with modified Bidirectional Long Short-Term Memory",[167,168,169,170,171],"Houwen Shen","Zhanying Li","Hao Xu","Wenhao Fu","Mingyu Wang",{"@type":87,"@id":173,"schema:additionalType":89,"schema:identifier":174,"schema:headline":175,"schema:author":176,"schema:datePublished":100,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2026.120433","10.1016\u002Fj.est.2026.120433","A multi-temperature battery state transfer estimation method based on discrete Fourier transform-discrete wavelet transform enhanced Mamba model",[177,178],"Kaiyi Zhang","Xingzhu Wang",{"@type":87,"@id":180,"schema:additionalType":89,"schema:identifier":181,"schema:headline":182,"schema:author":183,"schema:datePublished":100,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2026.120618","10.1016\u002Fj.est.2026.120618","Real-time data reconstruction-based joint estimation of state-of-charge and state-of-health of lithium-ion batteries using quantitative feature informed deep learning framework",[184,185,186],"Md. Shoaib Akhter Rafi","Muhammad Anisuzzaman Talukder","Md. Kamrul Hasan",{"@type":87,"@id":188,"schema:additionalType":89,"schema:identifier":189,"schema:headline":190,"schema:author":191,"schema:datePublished":100,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2026.120671","10.1016\u002Fj.est.2026.120671","Robust and data-efficient battery state of charge estimation via transfer learning-enhanced physics-informed neural networks",[192,193,194,195],"Seonri Hong","Hyejin Kim","Jonghoon Kim","Jongbok Baek",{"@type":87,"@id":197,"schema:additionalType":89,"schema:identifier":198,"schema:headline":199,"schema:author":200,"schema:datePublished":100,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2026.120737","10.1016\u002Fj.est.2026.120737","A Beta-Gaussian deep state-space model for unsupervised multi-domain battery state-of-charge estimation",[201,202,203],"Rui Yang","Ángel F. García-Fernández","Che–Rung Lee",{"@type":87,"@id":205,"schema:additionalType":89,"schema:identifier":206,"schema:headline":207,"schema:author":208,"schema:datePublished":100,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2026.121146","10.1016\u002Fj.est.2026.121146","Embedded deployment and system-level validation of a state of charge estimation framework based on neural network for battery packs in resource-constrained battery management system",[209,210,211,212,213],"Shikun Cheng","Yaxiang Fan","Haochen Qin","Tiewei Song","Tiancheng Zhang",{"@type":87,"@id":215,"schema:additionalType":89,"schema:identifier":216,"schema:headline":217,"schema:author":218,"schema:datePublished":100,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2026.121821","10.1016\u002Fj.est.2026.121821","A physical-informed neural network framework for state of charge estimation of lithium battery",[219,220,221,222],"Sai Wang","Jie Ding","Mengting Chen","Dongqing Wang",{"@type":87,"@id":224,"schema:additionalType":89,"schema:identifier":225,"schema:headline":226,"schema:author":227,"schema:datePublished":100,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2026.122094","10.1016\u002Fj.est.2026.122094","Adaptive multi-scale diagonal state-space model with position-aware Performer attention for robust state of charge estimation in lithium-ion batteries",[228,229,230,231,232,233,234],"Syed Maooz Ali Shah","Syed Abbas Ali Shah","Mahrukh","Kai Wang","Honghao Liang","Ziqiang Xu","Chunming Tang",{"@type":87,"@id":236,"schema:additionalType":89,"schema:identifier":237,"schema:headline":238,"schema:author":239,"schema:datePublished":100,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2026.122119","10.1016\u002Fj.est.2026.122119","Dynamic response characteristics and failure prediction of cylindrical lithium-ion batteries under low-velocity impact",[240,241,242,243,244,245,246],"Zixuan Huang","Xinchun Zhang","Li-jun Xiao","Zong-lin Yuan","Yuhang Zhou","Liqiang An","Na Li",{"@type":87,"@id":248,"schema:additionalType":89,"schema:identifier":249,"schema:headline":250,"schema:author":251,"schema:datePublished":100,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2026.122251","10.1016\u002Fj.est.2026.122251","State of charge estimation for lithium-ion batteries using a convolutional and Long Short-Term Memory neural network with an Adaptive Unscented Kalman Filter",[252,253],"Quanyu Ge","Dezhong Ma",{"@type":87,"@id":255,"schema:additionalType":89,"schema:identifier":256,"schema:headline":257,"schema:author":258,"schema:datePublished":100,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2026.122342","10.1016\u002Fj.est.2026.122342","An adaptive convolutional feature fusion with selective architecture for estimating the state of charge of lithium-ion batteries under unconventional conditions",[259,260,261,262,263,264],"Jiang Wu","Dong Lei","Zelong Liu","Yixuan Zhang","Yue Wang","Jiajun Lv",{"@type":87,"@id":266,"schema:additionalType":89,"schema:identifier":267,"schema:headline":268,"schema:author":269,"schema:datePublished":100,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2026.122998","10.1016\u002Fj.est.2026.122998","An optimized convolutional neural network and selective state-space model for accurate state of charge estimation of lithium-ion batteries across wide temperature ranges and driving cycles",[270,271,272,273],"Yiqing Jiang","Zaifu Wang","Siyuan Chen","Ye Liu",{"@type":87,"@id":275,"schema:additionalType":89,"schema:identifier":276,"schema:headline":277,"schema:author":278,"schema:datePublished":100,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2026.123058","10.1016\u002Fj.est.2026.123058","State of charge estimation for lithium-ion batteries using input-selection temporal hybrid neural network and physics-constrained filter",[279,280,281,282],"Ziyang Gong","Tao He","Senlin Wu","Bo Wei",{"@type":87,"@id":284,"schema:additionalType":89,"schema:identifier":285,"schema:headline":286,"schema:author":287,"schema:datePublished":100,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2026.123125","10.1016\u002Fj.est.2026.123125","A hierarchical interval Type-2 fuzzy adaptive framework for robust state-of-charge estimation of lithium-ion batteries",[288,289,290,291],"Nidale Errifai","Aziz Rachid","Mohamed Tahiri","Bilal Boudmane",{"@type":87,"@id":293,"schema:additionalType":89,"schema:identifier":294,"schema:headline":295,"schema:author":296,"schema:datePublished":100,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2026.123271","10.1016\u002Fj.est.2026.123271","Lithium-ion battery state-of-charge estimation across temperature ranges based on a multi-source multi-time-scale deep transfer learning network",[297,298,299,300,301,302],"Zhenxu Wang","Yan Chen","T T 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equivalent circuits using impedance spectroscopy and machine learning",[341,342,343,344,345,346,347,348,349,350],"Yilei Lin","Dai Liu","Philipp Welz","Hangying Li","Franco Palau","Philip Bilfinger","Raphael Urban","Cristina Grosu","Martin Schulz","Markus Lienkamp","eTransportation",{"@type":87,"@id":353,"schema:additionalType":89,"schema:identifier":354,"schema:headline":355,"schema:author":356,"schema:datePublished":100,"schema:isPartOf":362},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jpowsour.2026.241013","10.1016\u002Fj.jpowsour.2026.241013","Dynamic mechanical-electrical responses and failure characteristics of cylindrical lithium-ion batteries: An experiment and simulation",[241,357,358,243,359,360,246,361],"Y Zhou","Zi-xuan Huang","Jia-rui Huang","Li-xiang Rao","Yingjie Zhang","Journal of Power Sources",{"@type":87,"@id":364,"schema:additionalType":89,"schema:identifier":365,"schema:headline":366,"schema:author":367,"schema:datePublished":100,"schema:isPartOf":371},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.rineng.2026.112212","10.1016\u002Fj.rineng.2026.112212","An analysis of energy flow through cyclic loading of Li-ion cells for short-term measurement-based SoH diagnostics",[368,369,370],"Slavomír Kardoš","Peter Lukacs","Tomas Lenger","Results in Engineering",{"@type":87,"@id":373,"schema:additionalType":89,"schema:identifier":374,"schema:headline":375,"schema:author":376,"schema:datePublished":100,"schema:isPartOf":382},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.seta.2026.105194","10.1016\u002Fj.seta.2026.105194","A robust cascaded state of energy estimation framework for lithium-ion batteries via gated multi-scale temporal fusion network",[377,378,379,380,381],"Xuan Chen","Jing Zhou","HuaJiang Wang","Jiaming Tang","Chao Chen","Sustainable Energy Technologies and Assessments",{"@type":87,"@id":384,"schema:additionalType":89,"schema:identifier":385,"schema:headline":386,"schema:author":387,"schema:datePublished":100,"schema:isPartOf":393},"https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41598-026-67204-7","10.1038\u002Fs41598-026-67204-7","An interpretable hybrid LSTM–transformer framework with temporal attention fusion for lithium-ion battery state-of-charge estimation",[388,389,390,391,392],"Pradeep Menon","Shreyansh Jain","Ravi Velugula","Kanupriya Mittal","Mayank Kumar Mittal","Scientific Reports",{"@type":87,"@id":395,"schema:additionalType":89,"schema:identifier":396,"schema:headline":397,"schema:author":398,"schema:datePublished":100,"schema:isPartOf":402},"https:\u002F\u002Fdoi.org\u002F10.1049\u002Fpel2.70243","10.1049\u002Fpel2.70243","Time‐Frequency Structured State‐Space Neural Network for Battery State‐of‐Charge Estimation",[399,400,401],"Ki-Hyeon Kim","Hyo‐Sung Ahn","Koog-Hwan Oh","IET Power Electronics",{"@type":87,"@id":404,"schema:additionalType":89,"schema:identifier":405,"schema:headline":406,"schema:author":407,"schema:datePublished":100},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fapec51134.2026.11516669","10.1109\u002Fapec51134.2026.11516669","Artificial Intelligence-Based Enhanced State of Health Estimation for Lithium-Ion Battery Utilizing Two-Pulse Load Test",[408,409,410,411],"Shaun Thurber","Sooan Pack","Youngkeun Kim","정연호",{"@type":87,"@id":413,"schema:additionalType":89,"schema:identifier":414,"schema:headline":415,"schema:author":416,"schema:datePublished":100,"schema:isPartOf":423},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fjsen.2026.3681264","10.1109\u002Fjsen.2026.3681264","A Lightweight Informer-LSTM Hybrid Model for Real-Time Lithium-Ion Battery State of Charge Estimation on Edge Devices",[417,418,419,420,421,422],"Yingwei Qian","Mingjun Tang","Xudong Wang","Zhaoke Ning","Hanlin Dong","Yaonan Wang","IEEE Sensors Journal",{"@type":87,"@id":425,"schema:additionalType":89,"schema:identifier":426,"schema:headline":427,"schema:author":428,"schema:datePublished":100},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fsoutheastcon63549.2026.11476588","10.1109\u002Fsoutheastcon63549.2026.11476588","Deep Learning Assisted Battery Management System for Electric Vehicles: SoC and SoH Estimation",[429,430,431,432],"Md Darul Atfal Palash","Emmanuel Agbaje","Carter Hudson","Eduard Muljadi",{"@type":87,"@id":434,"schema:additionalType":89,"schema:identifier":435,"schema:headline":436,"schema:author":437,"schema:datePublished":100,"schema:isPartOf":441},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftcyb.2026.3666574","10.1109\u002Ftcyb.2026.3666574","A Novel Approach for Accurate SOC Estimation of Lithium-Ion Electric Vehicle Batteries Using a (Q, S, R)-γ-Based Dissipativity Observer",[438,439,440],"R. Manivannan","K. Vinothini","Jinde Cao","IEEE Transactions on Cybernetics",{"@type":87,"@id":443,"schema:additionalType":89,"schema:identifier":444,"schema:headline":445,"schema:author":446,"schema:datePublished":100,"schema:isPartOf":454},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftie.2026.3651401","10.1109\u002Ftie.2026.3651401","Physics-Informed Nonlinear Extension Techniques for Robust Joint State Estimation of Li-Ion Batteries",[447,448,449,450,451,452,453],"Peng Guo","Xinghua Liu","Wentao Ma","Yang Li","Gaoxi Xiao","Zhongbao Wei","Badong Chen","IEEE Transactions on Industrial Electronics",{"@type":87,"@id":456,"schema:additionalType":89,"schema:identifier":457,"schema:headline":458,"schema:author":459,"schema:datePublished":100,"schema:isPartOf":466},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftii.2025.3631017","10.1109\u002Ftii.2025.3631017","Prompt-Driven Fine-Tuning Large Language Model for Multistate Coestimation of Lithium-Ion Batteries",[460,461,462,463,464,465],"Linfei Hou","Yunlong Shang","Tian Qiu","X Y Zhang","Yuhao Zhu","Xin Gu","IEEE Transactions on Industrial Informatics",{"@type":87,"@id":468,"schema:additionalType":89,"schema:identifier":469,"schema:headline":470,"schema:author":471,"schema:datePublished":100,"schema:isPartOf":477},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fapp16157645","10.3390\u002Fapp16157645","State-of-Charge Estimation of Lithium-Ion Batteries Under Low-Temperature Conditions",[472,473,474,475,476],"Jin Ling Xing","Xiaobo Gao","Yang Liu","Yuwei Li","Shenghui Wang","Applied Sciences",{"@type":87,"@id":479,"schema:additionalType":89,"schema:identifier":480,"schema:headline":481,"schema:author":482,"schema:datePublished":100,"schema:isPartOf":487},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fbatteries12020062","10.3390\u002Fbatteries12020062","Intelligent Assessment Framework of Unmanned Air Vehicle Health Status Based on Bayesian Stacking",[483,484,485,486],"Junfu Qiao","Jinqin Guo","Yu Zhang","Yongwei LI","Batteries",{"@type":87,"@id":489,"schema:additionalType":89,"schema:identifier":490,"schema:headline":491,"schema:author":492,"schema:datePublished":100,"schema:isPartOf":487},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fbatteries12030084","10.3390\u002Fbatteries12030084","State of Charge Estimation Method for Lithium-Ion Batteries Based on Online Parameter Identification and QPSO-AUKF",[493,494,495,496],"Hai Guo","Zhaohui Li","Haoze Xue","Jing Luo",{"@type":87,"@id":498,"schema:additionalType":89,"schema:identifier":499,"schema:headline":500,"schema:author":501,"schema:datePublished":100,"schema:isPartOf":487},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fbatteries12070234","10.3390\u002Fbatteries12070234","State of Charge Estimation of Lithium-Ion Batteries Using the Window Attention Sinks Transformer",[502,503,504],"Chang Liu","Zhifeng Zheng","Guodong Xu",{"@type":87,"@id":506,"schema:additionalType":89,"schema:identifier":507,"schema:headline":508,"schema:author":509,"schema:datePublished":100,"schema:isPartOf":487},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fbatteries12080280","10.3390\u002Fbatteries12080280","Internal Short Circuit Detection in Lithium-Ion Batteries Under Shipboard Vibration: A Unified Model-Based and Data-Driven Benchmark with NPU-Accelerated Inference",[510,511],"Jaehee Hong","Taeho Im",{"@type":87,"@id":513,"schema:additionalType":89,"schema:identifier":514,"schema:headline":515,"schema:author":516,"schema:datePublished":100,"schema:isPartOf":521},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Felectronics15143106","10.3390\u002Felectronics15143106","Experimental Validation of an Adaptive Series-Parallel Recombination Battery-Balancing Architecture Using Second-Life Lithium-Ion Cells",[517,518,519,520],"Khalid Hassan","Fei Lu Siaw","Tzer Hwai Gilbert Thio","Md Parvez Alam Khan Abir","Electronics",{"@type":87,"@id":523,"schema:additionalType":89,"schema:identifier":524,"schema:headline":525,"schema:author":526,"schema:datePublished":100,"schema:isPartOf":530},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fen19173975","10.3390\u002Fen19173975","Current-Stress-Aware Fuzzy Logic Control for Safe Fast Charging of Lithium-Ion Battery Packs",[527,528,529],"Yousef Sardahi","Asad Salem","Josie Farris","Energies",{"@type":87,"@id":532,"schema:additionalType":89,"schema:identifier":533,"schema:headline":534,"schema:author":535,"schema:datePublished":100,"schema:isPartOf":538},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fmath14101642","10.3390\u002Fmath14101642","Multi-Model Fusion of Lithium Battery SOC Estimation Based on Bayesian Principle",[536,537],"Funian Hu","Bin Xie","Mathematics",{"@type":87,"@id":540,"schema:additionalType":89,"schema:identifier":541,"schema:headline":542,"schema:author":543,"schema:datePublished":100,"schema:isPartOf":547},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fs26010264","10.3390\u002Fs26010264","State-of-Charge Estimation of Lithium-Ion Batteries Based on the CNN-Bi-LSTM-AM Model Under Low-Temperature Environments",[311,544,545,546],"Yiming Hao","Mingze Zhang","Yanling Lv","Sensors",{"@type":87,"@id":549,"schema:additionalType":89,"schema:identifier":550,"schema:headline":551,"schema:author":552,"schema:datePublished":100,"schema:isPartOf":555},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsym18040652","10.3390\u002Fsym18040652","A Physics-Informed Recurrent Neural Network with Fractional-Order Kinetics for Robust Lithium-Ion Battery State of Charge Estimation",[553,554],"Le Ke","Lujuan Dang","Symmetry",{"@type":87,"@id":557,"schema:additionalType":89,"schema:identifier":558,"schema:headline":559,"schema:author":560,"schema:datePublished":100,"schema:isPartOf":567},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fwevj17080401","10.3390\u002Fwevj17080401","Comparative Study of Embedded Deep Learning Models for State of Charge Estimation of Lithium-Ion Batteries",[561,562,563,564,565,566],"Yiyun Liang","Xun Lin","Xin Tang","Wenjing Shen","Jie Wang","Linfeng Zheng","World Electric Vehicle Journal",{"@type":87,"@id":569,"schema:additionalType":89,"schema:identifier":570,"schema:headline":571,"schema:author":572,"schema:datePublished":579,"schema:isPartOf":580},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ijepes.2025.110896","10.1016\u002Fj.ijepes.2025.110896","A virtual-component-embedded equivalent circuit model for lithium-ion battery state estimation",[573,574,575,576,577,578],"Zelin Guo","Yiyan Li","Zhenghao Zhou","Chen Zhang","Zheng Yan","Mo–Yuen Chow",2025,"International Journal of Electrical Power & Energy Systems",{"@type":87,"@id":582,"schema:additionalType":89,"schema:identifier":583,"schema:headline":584,"schema:author":585,"schema:datePublished":579,"schema:isPartOf":590},"https:\u002F\u002Fdoi.org\u002F10.1007\u002F978-3-031-94620-2_45","10.1007\u002F978-3-031-94620-2_45","Enhancement of SOC Estimation Algorithm Based on Machine Learning Multi-method Fusion",[586,587,588,589],"Elmehdi Nasri","Tarik Jarou","Meryam ElMahri","Salma Benchikh","Lecture notes in networks and systems",{"@type":87,"@id":592,"schema:additionalType":89,"schema:identifier":593,"schema:headline":594,"schema:author":595,"schema:datePublished":579,"schema:isPartOf":600},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.eswa.2025.127259","10.1016\u002Fj.eswa.2025.127259","Enhancing battery SOC estimation with BTGE: A novel synergy of filtering, Transformer, and ELM",[596,597,598,599],"Bo Zhu","Li Jia","Quan-Ke Pan","Hui Zhang","Expert Systems with Applications",{"@type":87,"@id":602,"schema:additionalType":89,"schema:identifier":603,"schema:headline":604,"schema:author":605,"schema:datePublished":579,"schema:isPartOf":393},"https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41598-025-00482-9","10.1038\u002Fs41598-025-00482-9","A combined improved dung beetle optimization and extreme learning machine framework for precise SOC estimation",[606,607,608,609,610,611,612],"Kaihua Yao","Xinyu Yan","Xiling Mao","Mengwei Li","Xiao Li","Ziyu Lian","Yuxiang Han",{"@type":87,"@id":614,"schema:additionalType":89,"schema:identifier":615,"schema:headline":616,"schema:author":617,"schema:datePublished":579,"schema:isPartOf":620},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fdrones9040247","10.3390\u002Fdrones9040247","A Multi-Timescale Method for State of Charge Estimation for Lithium-Ion Batteries in Electric UAVs Based on Battery Model and Data-Driven Fusion",[618,619],"Xiao Bo Cao","Li Liu","Drones",{"@type":87,"@id":622,"schema:additionalType":89,"schema:identifier":623,"schema:headline":624,"schema:author":625,"schema:datePublished":579,"schema:isPartOf":477},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fapp15158538","10.3390\u002Fapp15158538","A Novel Real-Time Battery State Estimation Using Data-Driven Prognostics and Health Management",[626,627,628],"Juliano Pimentel","Alistair A. McEwan","Hong Qing Yu",{"@type":87,"@id":630,"schema:additionalType":89,"schema:identifier":631,"schema:headline":632,"schema:author":633,"schema:datePublished":579,"schema:isPartOf":639},"https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11581-025-06424-9","10.1007\u002Fs11581-025-06424-9","Joint estimation of state of charge and state of energy for lithium-ion batteries based on the iTransformer deep learning network",[634,635,636,637,638],"Shanshan Wang","Hao Zhang","Wenkang Han","Qicai Yin","Liang Zeng","Ionics",{"@type":87,"@id":641,"schema:additionalType":89,"schema:identifier":642,"schema:headline":643,"schema:author":644,"schema:datePublished":579,"schema:isPartOf":639},"https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11581-025-06261-w","10.1007\u002Fs11581-025-06261-w","Numerical study of battery thermal management based on transverse fin-casing composite structure",[645,646,647,648,649,650],"Mengting Cui","Zhiwei Zhu","Donghan Yang","Zhiqiang He","Yi Liu","Ling Li",{"@type":87,"@id":652,"schema:additionalType":89,"schema:identifier":653,"schema:headline":654,"schema:author":655,"schema:datePublished":579,"schema:isPartOf":547},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fs25123669","10.3390\u002Fs25123669","Noise Reduction with Recursive Filtering for More Accurate Parameter Identification of Electrochemical Sources and Interfaces",[656,657,658,659,660],"Mitar Simić","Milan Medić","Milan R. Radovanović","Vladimir Risojević","Patricio Bulić",{"@type":87,"@id":662,"schema:additionalType":89,"schema:identifier":663,"schema:headline":664,"schema:author":665,"schema:datePublished":579,"schema:isPartOf":672},"https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs10853-025-11692-x","10.1007\u002Fs10853-025-11692-x","Integrating large language and multimodal models with machine learning for equivalent circuit analysis of electrochemical impedance spectroscopy",[666,667,668,669,670,671],"Shan Zhu","Jia Gong","Simi Sui","Kezhu Jiang","Ning Wang","Shijian Zheng","Journal of Materials Science",{"@type":87,"@id":674,"schema:additionalType":89,"schema:identifier":675,"schema:headline":676,"schema:author":677,"schema:datePublished":579,"schema:isPartOf":639},"https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11581-025-06353-7","10.1007\u002Fs11581-025-06353-7","An improved transformer-GRU neural model optimized by polar light optimizer for SOC estimation of lithium-ion batteries under complex operating conditions",[678,679,680,681,682],"Xinyue Shu","Haotian Shi","Yuanru Zou","Wen Cao","Carlos Fernández",{"@type":87,"@id":684,"schema:additionalType":89,"schema:identifier":685,"schema:headline":686,"schema:author":687,"schema:datePublished":579,"schema:isPartOf":697},"https:\u002F\u002Fdoi.org\u002F10.1002\u002Feng2.70346","10.1002\u002Feng2.70346","Real‐Time Parameter Identification and State of Charge Estimation of Electric Vehicle Batteries",[688,689,690,691,692,693,694,695,696],"A. Maheshwari","S. Nageswari","R. Palanisamy","B. Ramaswamy Karthikeyan","Mohamed Metwally Mahmoud","Daniel Eutyche Mbadjoun Wapet","Ali M. El‐Rifaie","Ezzeddine Touti","Ahmed I. Omar","Engineering Reports",{"@type":87,"@id":699,"schema:additionalType":89,"schema:identifier":700,"schema:headline":701,"schema:author":702,"schema:datePublished":579,"schema:isPartOf":709},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.apenergy.2025.125736","10.1016\u002Fj.apenergy.2025.125736","Estimate state of charge in lithium-ion batteries with unknown data",[703,704,705,706,707,708],"Jingwei Hu","Xiaodong Li","Fang Zheng","Jun Cheng","Longqiang Yi","Zhihong Zhang","Applied Energy",{"@type":87,"@id":711,"schema:additionalType":89,"schema:identifier":712,"schema:headline":713,"schema:author":714,"schema:datePublished":579,"schema:isPartOf":721},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fpr13113597","10.3390\u002Fpr13113597","A Data-Driven Method with Fusing Mechanism Information for Li-Ion Battery State of Charge Estimation",[715,716,717,718,719,720],"Zhanghua Xiao","Jingzhi Rao","Cheng Ji","Fangyuan Ma","Jingde Wang","Wei Hua Sun","Processes",{"@type":87,"@id":723,"schema:additionalType":89,"schema:identifier":724,"schema:headline":725,"schema:author":726,"schema:datePublished":579,"schema:isPartOf":734},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.microrel.2025.115795","10.1016\u002Fj.microrel.2025.115795","Aging modelling of Li-ion battery systems based on accelerated tests",[727,728,729,730,731,732,733],"Andrea Toscani","Mattia Stighezza","Marco Simonazzi","Nicola Delmonte","Paolo Cova","Valentina Bianchi","Ilaria De Munari","Microelectronics Reliability",{"@type":87,"@id":736,"schema:additionalType":89,"schema:identifier":737,"schema:headline":738,"schema:author":739,"schema:datePublished":579,"schema:isPartOf":101},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.applthermaleng.2025.126201","10.1016\u002Fj.applthermaleng.2025.126201","Temperature estimation in a lithium-ion cell using a machine learning based approach",[740,741],"Deepika Velumani","Ankit Bansal",{"@type":87,"@id":743,"schema:additionalType":89,"schema:identifier":744,"schema:headline":745,"schema:author":746,"schema:datePublished":579,"schema:isPartOf":521},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Felectronics14112217","10.3390\u002Felectronics14112217","Adaptive Recombination-Based Control Strategy for Cell Balancing in Lithium-Ion Battery Packs: Modeling and Simulation",[517,747,519],"Siaw Fei Lu",{"@type":87,"@id":749,"schema:additionalType":89,"schema:identifier":750,"schema:headline":751,"schema:author":752,"schema:datePublished":579,"schema:isPartOf":639},"https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11581-025-06870-5","10.1007\u002Fs11581-025-06870-5","A lithium-ion battery SOC estimation method integrating singular spectrum analysis and an improved transformer architecture",[167,168,169,170,171],{"@type":87,"@id":754,"schema:additionalType":89,"schema:identifier":755,"schema:headline":756,"schema:author":757,"schema:datePublished":579,"schema:isPartOf":487},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fbatteries11110404","10.3390\u002Fbatteries11110404","A Novel Efficient Grading of Spent Lithium-Ion Batteries Using Electrochemical Impedance Spectrometry",[758,759],"Ote Amuta","Julia Kowal",{"@type":87,"@id":761,"schema:additionalType":89,"schema:identifier":762,"schema:headline":763,"schema:author":764,"schema:datePublished":579,"schema:isPartOf":639},"https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11581-025-06578-6","10.1007\u002Fs11581-025-06578-6","Enhanced Beluga Whale optimization meets GRU and adaptive cubature Kalman filter: a novel approach for state of charge estimation in lithium-ion batteries",[765,766,767,768,769],"Jingrui Liu","Zhiwen Hou","Yuhan Xu","Yumeng He","Boyu Wang",{"@type":87,"@id":771,"schema:additionalType":89,"schema:identifier":772,"schema:headline":773,"schema:author":774,"schema:datePublished":579,"schema:isPartOf":779},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.arcontrol.2025.101011","10.1016\u002Fj.arcontrol.2025.101011","Frequential lithium-ion battery impedance identification using automatic model selection and initialization",[775,776,777,778],"Omar Arahbi","Benoît Huard","Jean-Denis Gabano","Thierry Poinot","Annual Reviews in Control",{"@type":87,"@id":781,"schema:additionalType":89,"schema:identifier":782,"schema:headline":783,"schema:author":784,"schema:datePublished":579,"schema:isPartOf":790},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.energy.2025.137539","10.1016\u002Fj.energy.2025.137539","State of charge estimation for lithium-ion battery using a multi-feature Mamba network and UKF under mixed operating conditions",[785,786,787,788,789],"Penghua Li","Jiangtao Ye","Jie Hou","Zhongwei Deng","Sheng Xiang","Energy",{"@type":87,"@id":792,"schema:additionalType":89,"schema:identifier":793,"schema:headline":794,"schema:author":795,"schema:datePublished":579,"schema:isPartOf":639},"https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11581-025-06757-5","10.1007\u002Fs11581-025-06757-5","Operational machine learning based approach for effective state-of-charge estimation in Li-ion batteries",[796,797,798,799],"Tikam Bhardwaj","Vijay Kale","Makarand S. Ballal","Sudarshan Khond",{"@type":87,"@id":801,"schema:additionalType":89,"schema:identifier":802,"schema:headline":803,"schema:author":804,"schema:datePublished":579,"schema:isPartOf":808},"https:\u002F\u002Fdoi.org\u002F10.1002\u002Fest2.70324","10.1002\u002Fest2.70324","A SOC and SOH Estimation Method for Energy Storage Batteries Based on the Fusion of a Reference Difference Model and Kolmogorov‐Arnold Networks",[805,806,807],"Rui Wang","Xianmin Mu","Jiahao Zhang","Energy Storage",{"@type":87,"@id":810,"schema:additionalType":89,"schema:identifier":811,"schema:headline":812,"schema:author":813,"schema:datePublished":579,"schema:isPartOf":817},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.compeleceng.2025.110907","10.1016\u002Fj.compeleceng.2025.110907","Joint estimation of the state-of-charge and state-of-energy of lithium-ion batteries under diverse temperatures and discharging conditions using a data-driven model",[814,815,816],"B Chen","Jujin Pan","Yonggui Liu","Computers & Electrical Engineering",{"@type":87,"@id":819,"schema:additionalType":89,"schema:identifier":820,"schema:headline":821,"schema:author":822,"schema:datePublished":579,"schema:isPartOf":827},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.engappai.2025.113197","10.1016\u002Fj.engappai.2025.113197","Joint prediction of state-of-charge and state-of-energy using a multiple channels bidirectional long short-term memory and inverted transformer framework",[823,824,825,826],"Haichi Huang","Chong Bian","Dong Un An","Shunkun Yang","Engineering Applications of Artificial Intelligence",{"@type":87,"@id":829,"schema:additionalType":89,"schema:identifier":830,"schema:headline":831,"schema:author":832,"schema:datePublished":579,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2024.115282","10.1016\u002Fj.est.2024.115282","Exploratory study on electric batteries thermal performance metrics and thermal management systems evaluation",[833,834,835,836,837],"Moustafa M. Amer","Mohamed Sameh Abdalghany Salem","A.M. Kannan","Ahmed M. Hamed","Mahmoud Abdelghany Shouman",{"@type":87,"@id":839,"schema:additionalType":89,"schema:identifier":840,"schema:headline":841,"schema:author":842,"schema:datePublished":579,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2025.115671","10.1016\u002Fj.est.2025.115671","Enhanced SOC and SOH estimation for Li-ion batteries based on combining adaptive central difference Kalman filter and discrete-time sliding mode observer",[843,844,845,846,847],"Junjie Wei","Youhong Wan","Chuanming Zhang","Peng Hua","Jie Tang",{"@type":87,"@id":849,"schema:additionalType":89,"schema:identifier":850,"schema:headline":851,"schema:author":852,"schema:datePublished":579,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2025.115955","10.1016\u002Fj.est.2025.115955","Unsupervised temperature adaptive method for cross-domain state-of-charge estimation of Li-ion batteries",[853,854,855],"Yuge Wu","Wei Huang","Yixin Zhao",{"@type":87,"@id":857,"schema:additionalType":89,"schema:identifier":858,"schema:headline":859,"schema:author":860,"schema:datePublished":579,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2025.116086","10.1016\u002Fj.est.2025.116086","Continual learning for online state of charge estimation across diverse lithium-ion batteries",[861,862,759],"Jiaqi Yao","Bowen Zheng",{"@type":87,"@id":864,"schema:additionalType":89,"schema:identifier":865,"schema:headline":866,"schema:author":867,"schema:datePublished":579,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2025.116636","10.1016\u002Fj.est.2025.116636","Multi-source transfer network for cross-domain state of charge estimation of lithium-ion batteries",[868,869,870,871,872],"Delong Mu","Wenliang Zhang","Bing C. Lin","Chenye Lin","Yu Dong Lu",{"@type":87,"@id":874,"schema:additionalType":89,"schema:identifier":875,"schema:headline":876,"schema:author":877,"schema:datePublished":579,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2025.116809","10.1016\u002Fj.est.2025.116809","Sensorless temperature estimation of lithium-ion batteries by integrating physics with the state-dependent model",[878,879,880,881,882],"Laien Chen","Xiaoyong Zeng","Xiangyang Xia","Yaoke Sun","Jiahui Yue",{"@type":87,"@id":884,"schema:additionalType":89,"schema:identifier":885,"schema:headline":886,"schema:author":887,"schema:datePublished":579,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2025.117414","10.1016\u002Fj.est.2025.117414","Interpretable and sensorless lithium-ion battery temperature estimation: A Temporal Fusion Transformer approach",[888,889,890,891,892],"Mingyao Ma","Qian Xu","Qiang Chen","Tingzhi Jiang","Hai Wang",{"@type":87,"@id":894,"schema:additionalType":89,"schema:identifier":895,"schema:headline":896,"schema:author":897,"schema:datePublished":579,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2025.117879","10.1016\u002Fj.est.2025.117879","Lithium-ion battery impedance as a battery temperature indicator",[898,899,900,901,902],"Luigi Mattia","Brian Ospina Agudelo","Hamzeh Beiranvand","Marco Liserre","Walter Zamboni",{"@type":87,"@id":904,"schema:additionalType":89,"schema:identifier":905,"schema:headline":906,"schema:author":907,"schema:datePublished":579,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2025.118103","10.1016\u002Fj.est.2025.118103","A pseudo-linear autoregressive battery model for joint estimation of state of charge and state of power",[908,879,880,878,909,910],"Caichen Cheng","Linghui Xiang","Xuzhi Liu",{"@type":87,"@id":912,"schema:additionalType":89,"schema:identifier":913,"schema:headline":914,"schema:author":915,"schema:datePublished":579,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2025.119451","10.1016\u002Fj.est.2025.119451","State of charge estimation of lithium-ion batteries using transfer dual-stream physics-informed network",[244,916,917,918,919,920,921,922],"Changdong Wang","Taochen Gu","Huamin Jie","Zhen Tao","Richard Xian‐Ke Gao","Kye Yak See","Zhenyu Zhao",{"@type":87,"@id":924,"schema:additionalType":89,"schema:identifier":925,"schema:headline":926,"schema:author":927,"schema:datePublished":579,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2025.119815","10.1016\u002Fj.est.2025.119815","State of health prediction for lithium-ion batteries in energy storage systems based on domain adaptation and graph attention networks",[928,929,930,931,932],"Shihao Dang","Bo Sun","Wan Zhang","Yibin Tao","Jingfa Li",{"@type":87,"@id":934,"schema:additionalType":89,"schema:identifier":935,"schema:headline":936,"schema:author":937,"schema:datePublished":579,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2025.119894","10.1016\u002Fj.est.2025.119894","Smart cloud-integrated battery management system for real-time state of charge estimation of lithium-ion battery pack in electric vehicles",[938,939,940],"Reeta","Anju Bala","Mukesh Singh",{"@type":87,"@id":942,"schema:additionalType":89,"schema:identifier":943,"schema:headline":944,"schema:author":945,"schema:datePublished":579,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2025.120105","10.1016\u002Fj.est.2025.120105","Numerical investigation of configuration and operational parameters in phase change material-enhanced battery cooling systems",[946,947,948,949,950],"Rui Jiang","Yuanzhi Liu","Yanhong Guo","Yuyuan Zhao","Xinru Guo",{"@type":87,"@id":952,"schema:additionalType":89,"schema:identifier":953,"schema:headline":954,"schema:author":955,"schema:datePublished":579,"schema:isPartOf":958},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ijheatfluidflow.2025.110117","10.1016\u002Fj.ijheatfluidflow.2025.110117","Numerical study on the heat dissipation performance of lithium-ion batteries with gradient-filled TPMS channel structures",[956,94,93,96,957,99],"Xinming Du","Haonan Yang","International Journal of Heat and Fluid Flow",{"@type":87,"@id":960,"schema:additionalType":89,"schema:identifier":961,"schema:headline":962,"schema:author":963,"schema:datePublished":579,"schema:isPartOf":966},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.measurement.2025.119162","10.1016\u002Fj.measurement.2025.119162","A comparative study of battery state of charge estimation with equivalent circuit model and empirical model",[964,965],"Zichuan Ni","Chao Jia","Measurement",{"@type":87,"@id":968,"schema:additionalType":89,"schema:identifier":969,"schema:headline":970,"schema:author":971,"schema:datePublished":579,"schema:isPartOf":977},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.tws.2025.114138","10.1016\u002Fj.tws.2025.114138","Failure mechanisms of lithium-ion batteries upon local indentation and three-point bending based on mechanical behaviors",[240,972,972,973,974,975,360,360,976],"Tao Zhang","Xin-Chun Zhang","Li-Rong Gu","You-Yun Zou","Wei Zhou","Thin-Walled Structures",{"@type":87,"@id":979,"schema:additionalType":89,"schema:identifier":980,"schema:headline":981,"schema:author":982,"schema:datePublished":579,"schema:isPartOf":987},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Faccess.2025.3618980","10.1109\u002Faccess.2025.3618980","State of Charge Estimation Across Dynamic and Sub-Zero Thermal Conditions for Electric Vehicles",[983,984,985,986],"Safieh Bamati","Hicham Chaoui","Ali Yahyaouy","Hamid Gualous","IEEE Access",{"@type":87,"@id":989,"schema:additionalType":89,"schema:identifier":990,"schema:headline":991,"schema:author":992,"schema:datePublished":579},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Facpee64358.2025.11040538","10.1109\u002Facpee64358.2025.11040538","A Voltage-Temperature Co-Estimation Method of Lithium Batteries Based on Extended Kalman Filter",[993,994,995,996,997],"Sheng Cui","Jiahui Wang","Yiyi Huang","Ying Feng Pang","Gang Li",{"@type":87,"@id":999,"schema:additionalType":89,"schema:identifier":1000,"schema:headline":1001,"schema:author":1002,"schema:datePublished":579},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Facpee64358.2025.11040893","10.1109\u002Facpee64358.2025.11040893","A Mechanistic-Data Model based Temperature Estimation Method for Lithium-ion Battery",[1003,1004,1005,1006],"YanQi Yang","Licheng Wang","Hui Chen","Hao Liu",{"@type":87,"@id":1008,"schema:additionalType":89,"schema:identifier":1009,"schema:headline":1010,"schema:author":1011,"schema:datePublished":579},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fapci65531.2025.11137347","10.1109\u002Fapci65531.2025.11137347","Regression Based State of Charge Estimation Model of Li-ion Battery",[1012,1013],"Sreekumar A. V","Shashidhar Kasthala",{"@type":87,"@id":1015,"schema:additionalType":89,"schema:identifier":1016,"schema:headline":1017,"schema:author":1018,"schema:datePublished":579},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fccpis65231.2025.11234143","10.1109\u002Fccpis65231.2025.11234143","Accelerating Rate Calorimetry Test based Fault Analysis of EV Battery Packs",[1019,1020,1021,1022],"Shivanshu Kumar","Shisir Baran Jana","Dhruv Jhunjhunwala","Amalendu Bikash Choudhury",{"@type":87,"@id":1024,"schema:additionalType":89,"schema:identifier":1025,"schema:headline":1026,"schema:author":1027,"schema:datePublished":579},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fcespe68033.2025.00101","10.1109\u002Fcespe68033.2025.00101","Research on Lithium Battery Temperature Estimation Model Based on the Combination of Physical Information and Machine Learning",[1028,1029,1030],"Xin Tian","Zhenzhou Niu","Yue Li",{"@type":87,"@id":1032,"schema:additionalType":89,"schema:identifier":1033,"schema:headline":1034,"schema:author":1035,"schema:datePublished":579},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fcieec64805.2025.11116055","10.1109\u002Fcieec64805.2025.11116055","Temperature-Compensated Battery Modeling Under Genetic Algorithm-Neural Network Joint Method",[919,922,918,916,1036,1037],"Mingke Yang","See Kye Yak",{"@type":87,"@id":1039,"schema:additionalType":89,"schema:identifier":1040,"schema:headline":1041,"schema:author":1042,"schema:datePublished":579},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fecce-europe62795.2025.11238681","10.1109\u002Fecce-europe62795.2025.11238681","Explainable Data-Driven Battery State of Charge Estimation",[1043,1044,1045,1046,1047,1048],"Shalman Ojukwu","Sidharth Maheshwari","Mohamed Mamlouk","Volker Pickert","Alex Yakovlev","Rishad Shafik",{"@type":87,"@id":1050,"schema:additionalType":89,"schema:identifier":1051,"schema:headline":1052,"schema:author":1053,"schema:datePublished":579},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fei268505.2025.11425254","10.1109\u002Fei268505.2025.11425254","Anomaly Detection for Battery Systems Based on a Physics-Data-Driven Fusion Model",[1054,1055,1056,1057],"Zitong Chen","Chen Yan","Xiaoyu Ji","Wenyuan Xu",{"@type":87,"@id":1059,"schema:additionalType":89,"schema:identifier":1060,"schema:headline":1061,"schema:author":1062,"schema:datePublished":579},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Feleco69582.2025.11329352","10.1109\u002Feleco69582.2025.11329352","Effect of Different Normalization Methods on Battery SoC Estimation Performance at the Optimal LSTM Batch Size",[1063,1064],"Hakan Yüce","Hayri Arabacı",{"@type":87,"@id":1066,"schema:additionalType":89,"schema:identifier":1067,"schema:headline":1068,"schema:author":1069,"schema:datePublished":579},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fic3ecsbhi63591.2025.10990906","10.1109\u002Fic3ecsbhi63591.2025.10990906","State-of-Charge Estimation of Li-Ion Battery in Electric Vehicles Using Deep Neural Network",[1070,1071,1072,1073],"Saif Ahmad Khan","Arslan Ahmad","Majid Jamil","Asra Irfan",{"@type":87,"@id":1075,"schema:additionalType":89,"schema:identifier":1076,"schema:headline":1077,"schema:author":1078,"schema:datePublished":579},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficccr65461.2025.11072642","10.1109\u002Ficccr65461.2025.11072642","An Enhanced Transformer-Based Framework for Accurate Real-Time Battery SOC Estimation",[596,597,599],{"@type":87,"@id":1080,"schema:additionalType":89,"schema:identifier":1081,"schema:headline":1082,"schema:author":1083,"schema:datePublished":579},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficdsbs63635.2025.11031657","10.1109\u002Ficdsbs63635.2025.11031657","Temperature Prediction of Lithium-Ion Cells Using Transformers and Deep Learning Models",[1084,1085,1086],"Rohinish Rakshan","Ganesh J G -","Subramaniyaswamy Vairavasundaram",{"@type":87,"@id":1088,"schema:additionalType":89,"schema:identifier":1089,"schema:headline":1090,"schema:author":1091,"schema:datePublished":579},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficpee65973.2025.11411354","10.1109\u002Ficpee65973.2025.11411354","Temperature and SOC-Dependent Parameter Estimation for Lithium-Ion Battery Equivalent Circuit Models",[1092,1093,1094],"Purushottam Kumar","Ranjeet Kumar","Sanjib Ganguly",{"@type":87,"@id":1096,"schema:additionalType":89,"schema:identifier":1097,"schema:headline":1098,"schema:author":1099,"schema:datePublished":579},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficpst65050.2025.11089349","10.1109\u002Ficpst65050.2025.11089349","Source-Free State of Charge Estimation for Lithium-Ion Batteries Based on Large Language Models",[1100,1101,1102,1103],"Hongwen Wei","Kai Liao","Yifan Cen","Guangshun Lin",{"@type":87,"@id":1105,"schema:additionalType":89,"schema:identifier":1106,"schema:headline":1107,"schema:author":1108,"schema:datePublished":579},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Finfoteh64129.2025.10959178","10.1109\u002Finfoteh64129.2025.10959178","Li-ion batteries equivalent circuit model parameter estimation from electrochemical impedance spectroscopy measurements using neural networks",[657,656,659,660],{"@type":87,"@id":1110,"schema:additionalType":89,"schema:identifier":1111,"schema:headline":1112,"schema:author":1113,"schema:datePublished":579},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fmaic67965.2025.11468706","10.1109\u002Fmaic67965.2025.11468706","State of Charge Estimation for Lithium-Ion Batteries Using ReliefF and Machine Learning Methods",[1114,1115,1116],"Yi Yang","Lun Zhang","Jiao Hu",{"@type":87,"@id":1118,"schema:additionalType":89,"schema:identifier":1119,"schema:headline":1120,"schema:author":1121,"schema:datePublished":579,"schema:isPartOf":1125},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftcsii.2025.3608185","10.1109\u002Ftcsii.2025.3608185","Data-Driven State-of-Charge Estimation for Lithium-Ion Batteries Using Variational Inference",[1122,1123,1124],"Wei Qin Yu","Yunfei Zheng","Shiyuan Wang","IEEE Transactions on Circuits & Systems II Express Briefs",{"@type":87,"@id":1127,"schema:additionalType":89,"schema:identifier":1128,"schema:headline":1129,"schema:author":1130,"schema:datePublished":579,"schema:isPartOf":466},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftii.2024.3520180","10.1109\u002Ftii.2024.3520180","Distribution, Scale, and Context Sensitive, Convolutional Neural Network-Based SOC Estimation for Li-ion Batteries",[1131],"Halil Çimen",{"@type":87,"@id":1133,"schema:additionalType":89,"schema:identifier":1134,"schema:headline":1135,"schema:author":1136,"schema:datePublished":579,"schema:isPartOf":1142},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftim.2025.3547129","10.1109\u002Ftim.2025.3547129","A Multirate-Fused State-of-Charge Estimation Scheme of Lithium-Ion Batteries for Electric Vehicles With Energy Harvesting Sensors",[1137,1138,1139,1140,1141],"Cong Huang","Quan Shi","Weiping Ding","Edmond Q. Wu","Peng Mei","IEEE Transactions on Instrumentation and Measurement",{"@type":87,"@id":1144,"schema:additionalType":89,"schema:identifier":1145,"schema:headline":1146,"schema:author":1147,"schema:datePublished":579,"schema:isPartOf":1153},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftits.2025.3580152","10.1109\u002Ftits.2025.3580152","A Scalable Recurrent Structure With Fast Transfer Learning for Lithium-Ion Battery State of Charge Estimation at Different Ambient Temperatures",[1148,1149,1150,1151,1152],"Haonan Chen","Guangzhong Dong","Shaohua Xie","Yifei Wang","Yunjiang Lou","IEEE Transactions on Intelligent Transportation Systems",{"@type":87,"@id":1155,"schema:additionalType":89,"schema:identifier":1156,"schema:headline":1157,"schema:author":1158,"schema:datePublished":579,"schema:isPartOf":1166},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftte.2025.3590916","10.1109\u002Ftte.2025.3590916","State-of-Charge and State-of-Energy Estimation for Lithium-Ion Batteries Based on Meta-Learning and Square-Root Unscented Kalman Filter",[1159,1160,1161,1162,1163,1164,1165],"Liping Chen","Hongli Ma","Yingjie Song","António Mendes Lopes","Xinyuan Bao","Lisheng Yin","Annuo Liu","IEEE Transactions on Transportation Electrification",{"@type":87,"@id":1168,"schema:additionalType":89,"schema:identifier":1169,"schema:headline":1170,"schema:author":1171,"schema:datePublished":579,"schema:isPartOf":1166},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftte.2025.3624321","10.1109\u002Ftte.2025.3624321","A Hybrid Offline–Online Modeling Method for Battery State-of-Charge Estimation: Integrating Nonlinearity, Adaptivity, and Efficiency",[881,879,880,878],{"@type":87,"@id":1173,"schema:additionalType":89,"schema:identifier":1174,"schema:headline":1175,"schema:author":1176,"schema:datePublished":579},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fvtc2025-spring65109.2025.11174497","10.1109\u002Fvtc2025-spring65109.2025.11174497","GiNet: Integrating Sequential and Context-Aware Learning for Battery Capacity Prediction",[1177,1178,1179,1180,1181,1182],"Sara Sameer","Wei Zhang","Xin Lou","Qingyu Yan","Terence Goh","Yulin Gao",{"@type":87,"@id":1184,"schema:additionalType":89,"schema:identifier":1185,"schema:headline":1186,"schema:author":1187,"schema:datePublished":579},"https:\u002F\u002Fdoi.org\u002F10.23919\u002Fccc64809.2025.11178876","10.23919\u002Fccc64809.2025.11178876","Temperature Estimation of Lithium Battery Based on Gravitational Search and Kalman Filter Algorithms",[1188,1189,1190,1191],"Zhen Wang","Haonan Zong","T.P. Sun","Tiancheng Zong",{"@type":87,"@id":1193,"schema:additionalType":89,"schema:identifier":1194,"schema:headline":1195,"schema:author":1196,"schema:datePublished":579,"schema:isPartOf":487},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fbatteries11030107","10.3390\u002Fbatteries11030107","Exploiting Artificial Neural Networks for the State of Charge Estimation in EV\u002FHV Battery Systems: A Review",[1197,1198],"Pierpaolo Dini","Davide Paolini",{"@type":87,"@id":1200,"schema:additionalType":89,"schema:identifier":1201,"schema:headline":1202,"schema:author":1203,"schema:datePublished":579,"schema:isPartOf":538},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fmath13172800","10.3390\u002Fmath13172800","A Statistical Analysis of the Effect of Fin Design Factors on the Cooling Performance and System Mass of PCM–Fin Structured BTMS for LIB Cell",[1204,1205,1206,1207,1208],"Jaekyung Go","Cheonha Park","Hamin Lee","Wonmo Kang","Chang‐Wan Kim",{"@type":87,"@id":1210,"schema:additionalType":89,"schema:identifier":1211,"schema:headline":1175,"schema:author":1212,"schema:datePublished":579,"schema:isPartOf":1215},"https:\u002F\u002Fdoi.org\u002F10.48550\u002Farxiv.2501.04997","10.48550\u002Farxiv.2501.04997",[1177,1178,1213,1214,1181,1182],"Lou, Xin","Yan, Qingyu","arXiv (Cornell University)",{"@type":87,"@id":1217,"schema:additionalType":89,"schema:identifier":1218,"schema:headline":1219,"schema:author":1220,"schema:datePublished":579,"schema:isPartOf":1215},"https:\u002F\u002Fdoi.org\u002F10.48550\u002Farxiv.2508.21610","10.48550\u002Farxiv.2508.21610","Adaptive Dead-Zone Dual Sliding Mode Observer for Reliable Electrochemical Model-Based SOC Estimation",[1221,1222,1223,1224],"Guangdi Hu","Liao, Keyi","Jian Ye","Feng Guo",{"@type":87,"@id":1226,"schema:additionalType":89,"schema:identifier":1227,"schema:headline":1228,"schema:author":1229,"schema:datePublished":579,"schema:isPartOf":1215},"https:\u002F\u002Fdoi.org\u002F10.48550\u002Farxiv.2512.04885","10.48550\u002Farxiv.2512.04885","Stability-Guaranteed Dual Kalman Filtering for Electrochemical Battery State Estimation",[1224,1221,1222,1230,1231,1232,1233,1234],"Luis D. Couto","Khiem Trad","Ru Hong","Hamid Hamed","Mohammadhosein Safari",{"@type":87,"@id":1236,"schema:additionalType":89,"schema:identifier":1237,"schema:headline":1238,"schema:author":1239,"schema:datePublished":579,"schema:isPartOf":1215},"https:\u002F\u002Fdoi.org\u002F10.48550\u002Farxiv.2512.12285","10.48550\u002Farxiv.2512.12285","Fractional Differential Equation Physics-Informed Neural Network and Its Application in Battery State Estimation",[554,1240],"Zilai Wang",{"@type":87,"@id":1242,"schema:additionalType":89,"schema:identifier":1243,"schema:headline":1244,"schema:author":1245,"schema:datePublished":1252,"schema:isPartOf":1253},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.dib.2024.110947","10.1016\u002Fj.dib.2024.110947","SoC estimation on Li-ion batteries: A new EIS-based dataset for data-driven applications",[1246,1247,1248,1249,1250,1251],"Hamza Mustafa","Carmine Bourelly","Michele Vitelli","Filippo Milano","Mario Molinara","Luigi Ferrigno",2024,"Data in Brief",{"@type":87,"@id":1255,"schema:additionalType":89,"schema:identifier":1256,"schema:headline":1257,"schema:author":1258,"schema:datePublished":1252,"schema:isPartOf":530},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fen17143502","10.3390\u002Fen17143502","Transformer-Based Deep Learning Models for State of Charge and State of Health Estimation of Li-Ion Batteries: A Survey Study",[1259,1260],"John K. Guirguis","Ryan Ahmed",{"@type":87,"@id":1262,"schema:additionalType":89,"schema:identifier":1263,"schema:headline":1264,"schema:author":1265,"schema:datePublished":1252,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2024.114503","10.1016\u002Fj.est.2024.114503","Analysis and prediction of battery temperature in thermal management system coupled SiC foam-composite phase change material and air",[1266,1267,1268,1269],"Xiaoyong Gu","Peng Ding","Guojie Chao","Yingmin Cui",{"@type":87,"@id":1271,"schema:additionalType":89,"schema:identifier":1272,"schema:headline":1273,"schema:author":1274,"schema:datePublished":1252,"schema:isPartOf":1277},"https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00202-023-02227-1","10.1007\u002Fs00202-023-02227-1","Accurate state of charge prediction for lithium-ion batteries in electric vehicles using deep learning and dimensionality reduction",[1275,1276],"Ramprabu Jayaraman","Rani Thottungal","Electrical Engineering",{"@type":87,"@id":1279,"schema:additionalType":89,"schema:identifier":1280,"schema:headline":1281,"schema:author":1282,"schema:datePublished":1252,"schema:isPartOf":1288},"https:\u002F\u002Fdoi.org\u002F10.1002\u002Fcta.4138","10.1002\u002Fcta.4138","Battery lumped fractional‐order hysteresis thermoelectric coupling model for state of charge estimation adaptive to time‐varying core temperature conditions",[1283,1284,1285,1286,681,682,1287],"Jiawei Zeng","Shunli Wang","Paul Takyi‐Aninakwa","Mengyun Zhang","Josep Maria Guerrero","International Journal of Circuit Theory and Applications",{"@type":87,"@id":1290,"schema:additionalType":89,"schema:identifier":1291,"schema:headline":1292,"schema:author":1293,"schema:datePublished":1252,"schema:isPartOf":530},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fen17205029","10.3390\u002Fen17205029","Multi-Temperature State-of-Charge Estimation of Lithium-Ion Batteries Based on Spatial Transformer Network",[1294,1295,1296],"Yu Cao","Xin Wen","Hongyu Liang",{"@type":87,"@id":1298,"schema:additionalType":89,"schema:identifier":1299,"schema:headline":1300,"schema:author":1301,"schema:datePublished":1252,"schema:isPartOf":1305},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.heliyon.2024.e30988","10.1016\u002Fj.heliyon.2024.e30988","A simulation-driven prediction model for state of charge estimation of electric vehicle lithium battery",[1302,1303,1304],"Jinrui Zhang","Chenqi Song","Jiawei Xiang","Heliyon",{"@type":87,"@id":1307,"schema:additionalType":89,"schema:identifier":1308,"schema:headline":1309,"schema:author":1310,"schema:datePublished":1252,"schema:isPartOf":709},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.apenergy.2024.122669","10.1016\u002Fj.apenergy.2024.122669","Enhancing state of charge and state of energy estimation in Lithium-ion batteries based on a TimesNet model with Gaussian data augmentation and error correction",[1311,1312,1313,1314,1315,1316],"Chu Zhang","Yue Zhang","Zhengbo Li","Zhao Zhang","Muhammad Shahzad Nazir","Tian Peng",{"@type":87,"@id":1318,"schema:additionalType":89,"schema:identifier":1319,"schema:headline":1320,"schema:author":1321,"schema:datePublished":1252,"schema:isPartOf":977},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.tws.2024.112385","10.1016\u002Fj.tws.2024.112385","Dynamic response analysis of cylindrical lithium-ion battery under impact loadings: A theoretical study",[240,241,245,360,1322,1323],"Li-rong Gu","Chunyan Li",{"@type":87,"@id":1325,"schema:additionalType":89,"schema:identifier":1326,"schema:headline":1327,"schema:author":1328,"schema:datePublished":1252,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2024.113529","10.1016\u002Fj.est.2024.113529","Performance study and optimization of hybrid battery thermal management system based on triply periodic minimal surface coupled phase change material",[95,94,93,957,98,956],{"@type":87,"@id":1330,"schema:additionalType":89,"schema:identifier":1331,"schema:headline":1332,"schema:author":1333,"schema:datePublished":1252,"schema:isPartOf":1335},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.engfailanal.2024.108594","10.1016\u002Fj.engfailanal.2024.108594","Failure mechanisms and acoustic responses of cylindrical lithium-ion batteries under compression loadings",[240,241,1334,1322,245,976],"Nannan Liu","Engineering Failure Analysis",{"@type":87,"@id":1337,"schema:additionalType":89,"schema:identifier":1338,"schema:headline":1339,"schema:author":1340,"schema:datePublished":1252,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2024.111001","10.1016\u002Fj.est.2024.111001","Frequency reconstruction oriented EMD-LSTM-AM based surface temperature prediction for lithium-ion battery",[1341,1342,1343,1344,1345],"Xiao Qi","Chaofeng Hong","Ye Tao","Lijun Gu","Weixiong Wu",{"@type":87,"@id":1347,"schema:additionalType":89,"schema:identifier":1348,"schema:headline":1349,"schema:author":1350,"schema:datePublished":1252,"schema:isPartOf":790},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.energy.2024.131856","10.1016\u002Fj.energy.2024.131856","Exploring large language model for generic and robust state-of-charge estimation of Li-ion batteries: A mixed prompt learning method",[824,1351,1352,826,1353],"Zhiyu Duan","Yaqian Hao","Junlan Feng",{"@type":87,"@id":1355,"schema:additionalType":89,"schema:identifier":1356,"schema:headline":1357,"schema:author":1358,"schema:datePublished":1252,"schema:isPartOf":1362},"https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs13369-024-09870-1","10.1007\u002Fs13369-024-09870-1","Precise State-of-Charge Estimation in Electric Vehicle Lithium-Ion Batteries Using a Deep Neural Network",[1359,1360,1361],"A. Mohamed Saleem","Canraş Batunlu","Cem Direkoğlu","Arabian Journal for Science and Engineering",{"@type":87,"@id":1364,"schema:additionalType":89,"schema:identifier":1365,"schema:headline":1366,"schema:author":1367,"schema:datePublished":1252,"schema:isPartOf":530},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fen17071640","10.3390\u002Fen17071640","Joint Estimation of SOC and SOH for Lithium-Ion Batteries Based on Dual Adaptive Central Difference H-Infinity Filter",[1368,1369,1370,843,844],"Bingyu Sang","Zaijun Wu","Bo Feng Yang",{"@type":87,"@id":1372,"schema:additionalType":89,"schema:identifier":1373,"schema:headline":1374,"schema:author":1375,"schema:datePublished":1252,"schema:isPartOf":709},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.apenergy.2024.123534","10.1016\u002Fj.apenergy.2024.123534","FedCBE: A federated-learning-based collaborative battery estimation system with non-IID data",[1376,565,1377,1378],"Rucong Lai","Yong Tian","Jindong Tian",{"@type":87,"@id":1380,"schema:additionalType":89,"schema:identifier":1381,"schema:headline":1382,"schema:author":1383,"schema:datePublished":1252,"schema:isPartOf":709},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.apenergy.2024.122666","10.1016\u002Fj.apenergy.2024.122666","Robust state-of-charge estimator for lithium-ion batteries enabled by a physics-driven dual-stage attention mechanism",[1384,1385,1386,1387,1388,1389],"Kai Zhang","Dongxin Bai","Yong Li","Ke Song","Bailin Zheng","Fuqian Yang",{"@type":87,"@id":1391,"schema:additionalType":89,"schema:identifier":1392,"schema:headline":1393,"schema:author":1394,"schema:datePublished":1252,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2024.112887","10.1016\u002Fj.est.2024.112887","Hybrid data-driven deep learning model for state of charge estimation of Li-ion battery in an electric vehicle",[1395,1396,1397],"Seunghyeon Oh","Jiyong Kim","Il Moon",{"@type":87,"@id":1399,"schema:additionalType":89,"schema:identifier":1400,"schema:headline":1401,"schema:author":1402,"schema:datePublished":1252,"schema:isPartOf":1277},"https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00202-024-02392-x","10.1007\u002Fs00202-024-02392-x","Examining the influence of sampling frequency on state-of-charge estimation accuracy using long short-term memory models",[1064,1403,1131],"Kürşad Uçar",{"@type":87,"@id":1405,"schema:additionalType":89,"schema:identifier":1406,"schema:headline":1407,"schema:author":1408,"schema:datePublished":1252,"schema:isPartOf":487},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fbatteries10060199","10.3390\u002Fbatteries10060199","Battery Modeling for Emulators in Vehicle Test Cell",[1409,1410,1411],"Chris Roberts","Simon Petrovich","Kambiz M. Ebrahimi",{"@type":87,"@id":1413,"schema:additionalType":89,"schema:identifier":1414,"schema:headline":1415,"schema:author":1416,"schema:datePublished":1252,"schema:isPartOf":1423},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsu16188123","10.3390\u002Fsu16188123","Optimizing EV Powertrain Performance and Sustainability through Constraint Prioritization in Nonlinear Model Predictive Control of Semi-Active Bidirectional DC-DC Converter with HESS",[1417,1418,1419,1420,1421,1422],"P. S. Praveena Krishna","N. S. Jayalakshmi","Vidya S. Rao","Amit Kumar Saraswat","Hannah Chaplin Laugaland","Pramod Bhat Nempu","Sustainability",{"@type":87,"@id":1425,"schema:additionalType":89,"schema:identifier":1426,"schema:headline":1427,"schema:author":1428,"schema:datePublished":1252,"schema:isPartOf":1432},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.csite.2024.105207","10.1016\u002Fj.csite.2024.105207","Structural optimization and battery temperature prediction of battery thermal management system based on machine learning",[1266,1429,1430,1431],"Wenbo Lei","Jiacheng Xi","Mengqiang Song","Case Studies in Thermal Engineering",{"@type":87,"@id":1434,"schema:additionalType":89,"schema:identifier":1435,"schema:headline":1436,"schema:author":1437,"schema:datePublished":1252,"schema:isPartOf":639},"https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11581-024-06033-y","10.1007\u002Fs11581-024-06033-y","State of charge and surface temperature estimation of lithium-ion batteries on the basis of a fractional-order equivalent circuit-thermal coupling model",[1438,1439,1440],"Miao Xu","Lei Ming","Haitao Hu",{"@type":87,"@id":1442,"schema:additionalType":89,"schema:identifier":1443,"schema:headline":1444,"schema:author":1445,"schema:datePublished":1252,"schema:isPartOf":1450},"https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs44172-024-00222-3","10.1038\u002Fs44172-024-00222-3","Numerical investigation of module-level inhomogeneous ageing in lithium-ion batteries from temperature gradients and electrical connection topologies",[1446,1447,1448,1449],"Haosong He","Ashley Fly","Edward R. Barbour","Xiangjie Chen","Communications Engineering",{"@type":87,"@id":1452,"schema:additionalType":89,"schema:identifier":1453,"schema:headline":1454,"schema:author":1455,"schema:datePublished":1252,"schema:isPartOf":382},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.seta.2024.103989","10.1016\u002Fj.seta.2024.103989","The state of charge predication of lithium-ion battery energy storage system using contrastive learning",[1456,1457,1458,1459,1460,1461,1462],"Yifeng Xiong","Ting He","Wenlong Zhu","Yongxin Liao","Quan Xu","Yingchun Niu","Zhilong Chen",{"@type":87,"@id":1464,"schema:additionalType":89,"schema:identifier":1465,"schema:headline":1466,"schema:author":1467,"schema:datePublished":1252,"schema:isPartOf":362},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jpowsour.2024.234879","10.1016\u002Fj.jpowsour.2024.234879","A state-dependent quasi-linear parameter-varying model of lithium-ion batteries for state of charge estimation",[881,879,880,878],{"@type":87,"@id":1469,"schema:additionalType":89,"schema:identifier":1470,"schema:headline":1471,"schema:author":1472,"schema:datePublished":1252,"schema:isPartOf":101},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.applthermaleng.2024.123080","10.1016\u002Fj.applthermaleng.2024.123080","Parametric investigation of battery thermal management system with phase change material, metal foam, and fins; utilizing CFD and ANN models",[1473,1474,1475,1476,1477],"Hasan Najafi Khaboshan","Farzad Jaliliantabar","Abdul Adam Abdullah","Satyam Panchal","Amiratabak Azarinia",{"@type":87,"@id":1479,"schema:additionalType":89,"schema:identifier":1480,"schema:headline":1481,"schema:author":1482,"schema:datePublished":1252,"schema:isPartOf":362},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jpowsour.2024.235312","10.1016\u002Fj.jpowsour.2024.235312","A hybrid deep learning framework integrating bidirectional sliding windows, TCN, and external attention for accurate state-of-charge estimation in lithium-ion batteries",[229,1284,1483,228,1484,1485,233,1486],"Sajawal Gul Niazi","Shungang Ning","Muhamamd Hassaan Farooq Butt","Mengqiang Wu",{"@type":87,"@id":1488,"schema:additionalType":89,"schema:identifier":1489,"schema:headline":1490,"schema:author":1491,"schema:datePublished":1252,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2024.112224","10.1016\u002Fj.est.2024.112224","State of charge estimation for lithium-ion battery using Time Series Transformer with De-noise De-stationary Inception Network",[1492,1493,1494],"Zhihao Yi","Liwei Wang","Kaitai Yang",{"@type":87,"@id":1496,"schema:additionalType":89,"schema:identifier":1497,"schema:headline":1498,"schema:author":1499,"schema:datePublished":1252,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2024.112107","10.1016\u002Fj.est.2024.112107","Hybrid and combined states estimation approaches for lithium-ion battery management system: Advancement, challenges and future directions",[1500,1501,1502,1503,1504,1505],"Molla Shahadat Hossain Lipu","M. S. Abd Rahman","Muhamad Mansor","Shaheer Ansari","Sheikh Tanzim Meraj","M. A. Hannan",{"@type":87,"@id":1507,"schema:additionalType":89,"schema:identifier":1508,"schema:headline":1509,"schema:author":1510,"schema:datePublished":1252,"schema:isPartOf":639},"https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11581-024-05523-3","10.1007\u002Fs11581-024-05523-3","Fast and high-precision online SOC estimation for improved model of lithium-ion battery based on temperature correlation coefficient",[1511,1512,1513,1514,1515,1516],"Lingzhi Yi","Fuyou Chen","Yahui Wang","Bote Luo","Fan Lv","Xinkun Cai",{"@type":87,"@id":1518,"schema:additionalType":89,"schema:identifier":1519,"schema:headline":1520,"schema:author":1521,"schema:datePublished":1252,"schema:isPartOf":362},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jpowsour.2024.235760","10.1016\u002Fj.jpowsour.2024.235760","State-of-charge estimation across battery chemistries: A novel regression-based method and insights from unsupervised domain adaptation",[1522,1523,1524],"Mohammad Badfar","Murat Yildirim","Ratna Babu Chinnam",{"@type":87,"@id":1526,"schema:additionalType":89,"schema:identifier":1527,"schema:headline":1528,"schema:author":1529,"schema:datePublished":1252,"schema:isPartOf":1530},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.aml.2024.109207","10.1016\u002Fj.aml.2024.109207","Key-term separation based hierarchical gradient approach for NN based Hammerstein battery model",[222],"Applied Mathematics Letters",{"@type":87,"@id":1532,"schema:additionalType":89,"schema:identifier":1533,"schema:headline":1534,"schema:author":1535,"schema:datePublished":1252,"schema:isPartOf":101},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.applthermaleng.2024.123319","10.1016\u002Fj.applthermaleng.2024.123319","Ageing comparison of passive battery thermal management systems: Air cooling and loop heat pipes",[1446,1447,1449,1536,1537],"Weeratunge M. G. Malalasekera","Marco Bernagozzi",{"@type":87,"@id":1539,"schema:additionalType":89,"schema:identifier":1540,"schema:headline":1541,"schema:author":1542,"schema:datePublished":1252,"schema:isPartOf":101},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.applthermaleng.2024.124384","10.1016\u002Fj.applthermaleng.2024.124384","Study on novel battery thermal management using triply periodic minimal surface porous structures liquid cooling channel",[956,94,1543,957,93,95],"Quanjie Gao",{"@type":87,"@id":1545,"schema:additionalType":89,"schema:identifier":1546,"schema:headline":1547,"schema:author":1548,"schema:datePublished":1252,"schema:isPartOf":790},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.energy.2024.130603","10.1016\u002Fj.energy.2024.130603","Multi-fault diagnosis strategy based on a non-redundant interleaved measurement circuit and improved fuzzy entropy for the battery system",[1549,1550],"Song Ren","Jing Sun",{"@type":87,"@id":1552,"schema:additionalType":89,"schema:identifier":1553,"schema:headline":1554,"schema:author":1555,"schema:datePublished":1252,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2024.113240","10.1016\u002Fj.est.2024.113240","Equalizing data lengths across temperatures to enhance deep learning training for state of charge prediction",[1403,1064,1131],{"@type":87,"@id":1557,"schema:additionalType":89,"schema:identifier":1558,"schema:headline":1559,"schema:author":1560,"schema:datePublished":1252,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2024.114685","10.1016\u002Fj.est.2024.114685","Detection of internal short circuit in lithium-ion batteries based on electrothermal coupling model",[1561,1562,1563,1564,1565,1566],"Tinglong Pan","Ziyi Yu","Shunshun Ma","Dezhi Xu","Yujian Ye","Jianlin Li",{"@type":87,"@id":1568,"schema:additionalType":89,"schema:identifier":1569,"schema:headline":1570,"schema:author":1571,"schema:datePublished":1252,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2024.114888","10.1016\u002Fj.est.2024.114888","A multi-scale data-driven framework for online state of charge estimation of lithium-ion batteries with a novel public drive cycle dataset",[861,759],{"@type":87,"@id":1573,"schema:additionalType":89,"schema:identifier":1574,"schema:headline":1575,"schema:author":1576,"schema:datePublished":1252,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2024.115036","10.1016\u002Fj.est.2024.115036","Estimating battery state of health using DConvBLSTM and modified particle filter under complex noise",[1577,1578,1579],"Pallabi Kakati","Devendra Dandotiya","Rajiv Ranjan Singh",{"@type":87,"@id":1581,"schema:additionalType":89,"schema:identifier":1582,"schema:headline":1583,"schema:author":1584,"schema:datePublished":1252,"schema:isPartOf":1585},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ifacol.2024.08.161","10.1016\u002Fj.ifacol.2024.08.161","Automatic Initialization and Model Selection for Li-ion Battery Impedance Identification in the Frequency Domain",[775,776,777,778],"IFAC-PapersOnLine",{"@type":87,"@id":1587,"schema:additionalType":89,"schema:identifier":1588,"schema:headline":1589,"schema:author":1590,"schema:datePublished":1252,"schema:isPartOf":1596},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ress.2024.110613","10.1016\u002Fj.ress.2024.110613","Health management of power batteries in low temperatures based on Adaptive Transfer Enformer framework",[1591,1592,1593,1594,1595],"Bingyang Chen","Xingjie Zeng","Chao Liu","XU Ya-fei","Heling Cao","Reliability Engineering & System Safety",{"@type":87,"@id":1598,"schema:additionalType":89,"schema:identifier":1599,"schema:headline":1600,"schema:author":1601,"schema:datePublished":1252,"schema:isPartOf":987},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Faccess.2024.3408220","10.1109\u002Faccess.2024.3408220","Estimating State-of-Charge in Lithium-Ion Batteries Through Deep Learning Techniques: A Comparative Evaluation",[1602,1603,391,392],"Pratik Mondal","D. N. Bhavsar",{"@type":87,"@id":1605,"schema:additionalType":89,"schema:identifier":1606,"schema:headline":1607,"schema:author":1608,"schema:datePublished":1252,"schema:isPartOf":987},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Faccess.2024.3414433","10.1109\u002Faccess.2024.3414433","Genetic Algorithm-Based Optimal Sizing of Hybrid Battery\u002FUltracapacitor Energy Storage System for Wave Energy Harvesting Applications",[1609,1610,1611,1612,1613],"Ahmet Aktaş","Omer C. Onar","Erdem Asa","Burak Ozpineci","Leon M. Tolbert",{"@type":87,"@id":1615,"schema:additionalType":89,"schema:identifier":1616,"schema:headline":1617,"schema:author":1618,"schema:datePublished":1252,"schema:isPartOf":987},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Faccess.2024.3425950","10.1109\u002Faccess.2024.3425950","State of Charge Estimation of Lithium-Ion Battery for Underwater Vehicles Using MM-UKF Under Hierarchical Temperature Compensation",[308,1619,311,1620],"Xiangbing Fan","Xiaoyu Zhang",{"@type":87,"@id":1622,"schema:additionalType":89,"schema:identifier":1623,"schema:headline":1624,"schema:author":1625,"schema:datePublished":1252},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fconcapan63470.2024.10933845","10.1109\u002Fconcapan63470.2024.10933845","Designing a battery state estimator considering the challenges for real-world applications",[1626,1627,1628,1629],"Eugenio Camargo Trigueros","Nancy Visairo-Cruz","Ciro Alberto Núñez Gutiérrez","Juan Segundo‐Ramírez",{"@type":87,"@id":1631,"schema:additionalType":89,"schema:identifier":1632,"schema:headline":1633,"schema:author":1634,"schema:datePublished":1252},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fcvci63518.2024.10830087","10.1109\u002Fcvci63518.2024.10830087","Prompt-Driven Fine-Tuning of Large Language Model for Li-ion Battery State Estimation",[1635,460,461],"Tian Shuang Qiu",{"@type":87,"@id":1637,"schema:additionalType":89,"schema:identifier":1638,"schema:headline":1639,"schema:author":1640,"schema:datePublished":1252},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fecti-con60892.2024.10595034","10.1109\u002Fecti-con60892.2024.10595034","Analyzing Computational Complexity and Footprint: A Comparative Study of State of Charge Estimation across Various Equivalent Circuit Models for Batteries",[1641,1642],"Siraphop Vespaiboon","Wanchalerm Pora",{"@type":87,"@id":1644,"schema:additionalType":89,"schema:identifier":1645,"schema:headline":1646,"schema:author":1647,"schema:datePublished":1252},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fgiest62955.2024.10959827","10.1109\u002Fgiest62955.2024.10959827","Performance Evaluation of Different Optimization Techniques for SoC Estimation in EV Battery Management System",[1648,1649],"Subhabrata Pal","Avik Bhattacharya",{"@type":87,"@id":1651,"schema:additionalType":89,"schema:identifier":1652,"schema:headline":1653,"schema:author":1654,"schema:datePublished":1252},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fiaecst64597.2024.11117353","10.1109\u002Fiaecst64597.2024.11117353","A Lithium Battery State of Charge Estimation Method Based on Informer Model and Adaptive Kalman Filter",[1655,1656,1657,1658,1659,1660],"Yuanhua Li","Huipin Lin","Li Ping","Xinghao Zhang","Mingyu Gao","Yuxiang Yang",{"@type":87,"@id":1662,"schema:additionalType":89,"schema:identifier":1663,"schema:headline":1664,"schema:author":1665,"schema:datePublished":1252},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficaace61206.2024.10549416","10.1109\u002Ficaace61206.2024.10549416","State of Charge Estimation of Lithium-Ion Batteries Based on Temporal Convolution Network and Unscented Kalman Filter",[1666,1667,1668],"Chao Huang","Yiying Wei","Zhou Chen",{"@type":87,"@id":1670,"schema:additionalType":89,"schema:identifier":1671,"schema:headline":1672,"schema:author":1673,"schema:datePublished":1252},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficdcm60322.2024.10665285","10.1109\u002Ficdcm60322.2024.10665285","Degradation and State of Health Prediction of a Battery Used in a Microgrid in Real-time",[1674,1675,1676,1677,1678,1679,1680,1681,1682],"Laxman Timilsina","Ali Moghassemi","Elutunji Buraimoh","SM Imrat Rahman","Asif Ahmed Khan","Grace Muriithi","Gökhan Özkan","Behnaz Papari","Christopher Shannon Edrington",{"@type":87,"@id":1684,"schema:additionalType":89,"schema:identifier":1685,"schema:headline":1686,"schema:author":1687,"schema:datePublished":1252},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fisesc63657.2024.10785350","10.1109\u002Fisesc63657.2024.10785350","Online Battery Electrochemical Impedance Spectroscopy Measuring and Applying Method",[1688,1689],"Peng Cheng","Rui Li",{"@type":87,"@id":1691,"schema:additionalType":89,"schema:identifier":1692,"schema:headline":1693,"schema:author":1694,"schema:datePublished":1252},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fpsgec62376.2024.10721050","10.1109\u002Fpsgec62376.2024.10721050","State of Charge and State of Energy Co-estimation for Lithium-ion Battery Based on PatchTST Model",[1695,1696,1697,1698],"Xinyi Zeng","Xiaoxue Guo","Jiongyi Zhu","Zixuan Cai",{"@type":87,"@id":1700,"schema:additionalType":89,"schema:identifier":1701,"schema:headline":1702,"schema:author":1703,"schema:datePublished":1252},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fsasg64132.2024.11535868","10.1109\u002Fsasg64132.2024.11535868","Estimation of State of Charge for Lithium Ion Batteries using Data Based Deep Learning Approach",[1704,1705],"Affan Abbasi","Muhammad Khalid",{"@type":87,"@id":1707,"schema:additionalType":89,"schema:identifier":1708,"schema:headline":1709,"schema:author":1710,"schema:datePublished":1252},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fsefet61574.2024.10717918","10.1109\u002Fsefet61574.2024.10717918","Battery State of Charge Estimation with Separable Temporal Convolutional Networks",[1711,1712,1713,1714,1715],"Nikhil C Mohan","Hemali Priyadarshi","Vivek Kumar Patidar","Bijaya Ketan Panigrahi","Saurabh Saxena",{"@type":87,"@id":1717,"schema:additionalType":89,"schema:identifier":1718,"schema:headline":1719,"schema:author":1720,"schema:datePublished":1252},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fsefet61574.2024.10717990","10.1109\u002Fsefet61574.2024.10717990","A Simulation Model for State of Charge of Li-ion Battery Cell",[1721,1722],"Vishwa Pal Singh","Sohom Chakrabarty",{"@type":87,"@id":1724,"schema:additionalType":89,"schema:identifier":1725,"schema:headline":1726,"schema:author":1727,"schema:datePublished":1252},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fsmc54092.2024.10832090","10.1109\u002Fsmc54092.2024.10832090","A Digital Twin-Based Distributed Method for the SOC Estimation of Li-Ion Battery Pack",[1728,1729,1730,1731,1732,1733,1734],"Heng Li","Shilong Zhuo","Ren Zhu","Yulin Zhang","Hui Ying Peng","Wanwan Ren","Rui Zhang",{"@type":87,"@id":1736,"schema:additionalType":89,"schema:identifier":1737,"schema:headline":1738,"schema:author":1739,"schema:datePublished":1252,"schema:isPartOf":1744},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftec.2024.3386784","10.1109\u002Ftec.2024.3386784","Hybrid Physics and Data-Driven Electrochemical States Estimation for Lithium-ion Batteries",[1149,1740,1152,1741,1742,1743],"Guangxin Gao","Jincheng Yu","Chunlin Chen","Jingwen Wei","IEEE Transactions on Energy Conversion",{"@type":87,"@id":1746,"schema:additionalType":89,"schema:identifier":1747,"schema:headline":1748,"schema:author":1749,"schema:datePublished":1252,"schema:isPartOf":454},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftie.2024.3352159","10.1109\u002Ftie.2024.3352159","Nonlinear Characterization of Lithium-Ion Batteries With Bipolar Pulsing",[1750,1751,1752],"Alan G. Li","Maitane Berecibar","Matthias Preindl",{"@type":87,"@id":1754,"schema:additionalType":89,"schema:identifier":1755,"schema:headline":1756,"schema:author":1757,"schema:datePublished":1252,"schema:isPartOf":1166},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftte.2024.3376515","10.1109\u002Ftte.2024.3376515","Enhancing Battery Thermal Management With Virtual Temperature Sensor Using Hybrid CNN-LSTM",[983,984,986],{"@type":87,"@id":1759,"schema:additionalType":89,"schema:identifier":1760,"schema:headline":1761,"schema:author":1762,"schema:datePublished":1252,"schema:isPartOf":1166},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftte.2024.3391938","10.1109\u002Ftte.2024.3391938","Hybrid Prompt-Driven Large Language Model for Robust State-of-Charge Estimation of Multitype Li-ion Batteries",[824,1763,1351,1764,826,1353],"Xue Han","Chao Deng",{"@type":87,"@id":1766,"schema:additionalType":89,"schema:identifier":1767,"schema:headline":1768,"schema:author":1769,"schema:datePublished":1252,"schema:isPartOf":1166},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftte.2024.3483973","10.1109\u002Ftte.2024.3483973","An Unsupervised Domain Adaptation Framework for Cross-Conditions State of Charge Estimation of Lithium-Ion Batteries",[1770,1771,1772,1773,1774],"Yunpeng Liu","Moin Ahmed","Jiangtao Feng","Zhiyu Mao","Zhongwei Chen",{"@type":87,"@id":1776,"schema:additionalType":89,"schema:identifier":1777,"schema:headline":1778,"schema:author":1779,"schema:datePublished":1252,"schema:isPartOf":1215},"https:\u002F\u002Fdoi.org\u002F10.48550\u002Farxiv.2407.20262","10.48550\u002Farxiv.2407.20262","A Neural-Network-Embedded Equivalent Circuit Model for Lithium-ion Battery State Estimation",[573,574,1780,578],"Yan, Zheng",{"@type":87,"@id":1782,"schema:additionalType":89,"schema:identifier":1783,"schema:headline":1784,"schema:author":1785,"schema:datePublished":1789,"schema:isPartOf":1790},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.segan.2023.101089","10.1016\u002Fj.segan.2023.101089","A key-term separation based least square method for Hammerstein SOC estimation model",[1786,1787,1788,222],"Ziping Liu","Jing Chen","Qiuhua Fan",2023,"Sustainable Energy Grids and Networks",{"@type":87,"@id":1792,"schema:additionalType":89,"schema:identifier":1793,"schema:headline":1794,"schema:author":1795,"schema:datePublished":1789,"schema:isPartOf":1798},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.egyr.2023.01.108","10.1016\u002Fj.egyr.2023.01.108","A review of machine learning state-of-charge and state-of-health estimation algorithms for lithium-ion batteries",[1796,1797],"Zhong Gui Ren","Changqing Du","Energy Reports",{"@type":87,"@id":1800,"schema:additionalType":89,"schema:identifier":1801,"schema:headline":1802,"schema:author":1803,"schema:datePublished":1789,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2023.107704","10.1016\u002Fj.est.2023.107704","Fast charging of lithium-ion battery using multistage charging and optimization with Grey relational analysis",[1804,1805],"Kartik Kumar","Kapil Pareek",{"@type":87,"@id":1807,"schema:additionalType":89,"schema:identifier":1808,"schema:headline":1809,"schema:author":1810,"schema:datePublished":1789,"schema:isPartOf":362},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jpowsour.2023.233328","10.1016\u002Fj.jpowsour.2023.233328","Characterizing degradation in lithium-ion batteries with pulsing",[1750,1811,1752],"Alan C. West",{"@type":87,"@id":1813,"schema:additionalType":89,"schema:identifier":1814,"schema:headline":1815,"schema:author":1816,"schema:datePublished":1789,"schema:isPartOf":1819},"https:\u002F\u002Fdoi.org\u002F10.1149\u002F1945-7111\u002Facd354","10.1149\u002F1945-7111\u002Facd354","A Hierarchical Identification Method for Lithium-Ion Battery SOC Based on the Hammerstein Model",[1817,1818,222],"Guangqian Wang","Jiling Ding","Journal of The Electrochemical Society",{"@type":87,"@id":1821,"schema:additionalType":89,"schema:identifier":1822,"schema:headline":1823,"schema:author":1824,"schema:datePublished":1789,"schema:isPartOf":530},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fen16073002","10.3390\u002Fen16073002","Multi-State Online Estimation of Lithium-Ion Batteries Based on Multi-Task Learning",[1825,1826,1827,1828,263],"Xiang Bao","Yuefeng Liu","Bo Liu","Haofeng Liu",{"@type":87,"@id":1830,"schema:additionalType":89,"schema:identifier":1831,"schema:headline":1832,"schema:author":1833,"schema:datePublished":1789,"schema:isPartOf":1836},"https:\u002F\u002Fdoi.org\u002F10.1007\u002F978-981-19-7214-0_37","10.1007\u002F978-981-19-7214-0_37","Improvement in the Electric Vehicle Battery Performance Using Phase Change Material",[1834,1835],"Jay R. Patel","Manish K. Rathod","Lecture notes in mechanical engineering",{"@type":87,"@id":1838,"schema:additionalType":89,"schema:identifier":1839,"schema:headline":1840,"schema:author":1841,"schema:datePublished":1789,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2022.106584","10.1016\u002Fj.est.2022.106584","A weighted Pearson correlation coefficient based multi-fault comprehensive diagnosis for battery circuits",[1842,1843,1844,222],"Zongxiang Li","Yan Jun Yang","Liwei Li",{"@type":87,"@id":1846,"schema:additionalType":89,"schema:identifier":1847,"schema:headline":1848,"schema:author":1849,"schema:datePublished":1789,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2023.107265","10.1016\u002Fj.est.2023.107265","Computational investigation for reduction in auxiliary energy consumption with different cell spacing in battery pack",[1850,1851,1852],"Akshay B. Padalkar","Mangesh B. Chaudhari","Adinath M. Funde",{"@type":87,"@id":1854,"schema:additionalType":89,"schema:identifier":1855,"schema:headline":1856,"schema:author":1857,"schema:datePublished":1789,"schema:isPartOf":1798},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.egyr.2023.04.226","10.1016\u002Fj.egyr.2023.04.226","Research on pulse charging current of lithium-ion batteries for electric vehicles in low-temperature environment",[1858,1859,1860,1861,1862],"Aihua Tang","Peng Gong","Yukun Huang","Xinyu Wu","Quanqing Yu",{"@type":87,"@id":1864,"schema:additionalType":89,"schema:identifier":1865,"schema:headline":1866,"schema:author":1867,"schema:datePublished":1789,"schema:isPartOf":487},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fbatteries10010012","10.3390\u002Fbatteries10010012","A Novel Method for State of Charge Estimation in Lithium-Ion Batteries Using Temporal Convolutional Network and Multi-Verse Optimization",[1868,1869,1870],"Yuanmao Li","Guixiong Liu","Wei Deng",{"@type":87,"@id":1872,"schema:additionalType":89,"schema:identifier":1873,"schema:headline":1874,"schema:author":1875,"schema:datePublished":1789,"schema:isPartOf":790},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.energy.2023.126665","10.1016\u002Fj.energy.2023.126665","Attention-based encoder-decoder networks for state of charge estimation of lithium-ion battery",[1876,485],"Lifeng Wu",{"@type":87,"@id":1878,"schema:additionalType":89,"schema:identifier":1879,"schema:headline":1880,"schema:author":1881,"schema:datePublished":1789,"schema:isPartOf":590},"https:\u002F\u002Fdoi.org\u002F10.1007\u002F978-3-031-35245-4_42","10.1007\u002F978-3-031-35245-4_42","Identification of the Parameters of the Lithium-Ion Battery Used in Electric Vehicles for the SOC Estimation",[1882,587,589,1883],"Nasri Elmehdi","Nabiha Saadi",{"@type":87,"@id":1885,"schema:additionalType":89,"schema:identifier":1886,"schema:headline":1887,"schema:author":1888,"schema:datePublished":1789,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2023.106836","10.1016\u002Fj.est.2023.106836","State-of-charge estimation for lithium-ion batteries based on attentional sequence-to-sequence architecture",[1377,1376,1889,1378],"Xiaoyu Li",{"@type":87,"@id":1891,"schema:additionalType":89,"schema:identifier":1892,"schema:headline":1893,"schema:author":1894,"schema:datePublished":1789,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2023.107191","10.1016\u002Fj.est.2023.107191","State of charge estimation of Li-ion batteries based on deep learning methods and particle-swarm-optimized Kalman filter",[1895,1896,1897,1898,1899],"Menghan Li","Chaoran Li","Qiang Zhang","Wei Liao","Zhonghao Rao",{"@type":87,"@id":1901,"schema:additionalType":89,"schema:identifier":1902,"schema:headline":1903,"schema:author":1904,"schema:datePublished":1789,"schema:isPartOf":101},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.applthermaleng.2023.120320","10.1016\u002Fj.applthermaleng.2023.120320","Improving the cooling performance of cylindrical lithium-ion battery using three passive methods in a battery thermal management system",[1473,1474,1475,1476],{"@type":87,"@id":1906,"schema:additionalType":89,"schema:identifier":1907,"schema:headline":1908,"schema:author":1909,"schema:datePublished":1789,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2023.106831","10.1016\u002Fj.est.2023.106831","A hierarchical adaptive extended Kalman filter algorithm for lithium-ion battery state of charge estimation",[222,1843,1910],"Tianyu Gu",{"@type":87,"@id":1912,"schema:additionalType":89,"schema:identifier":1913,"schema:headline":1914,"schema:author":1915,"schema:datePublished":1789,"schema:isPartOf":1918},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jechem.2023.02.019","10.1016\u002Fj.jechem.2023.02.019","Robust state of charge estimation of lithium-ion battery via mixture kernel mean p-power error loss LSTM with heap-based-optimizer",[449,1916,1917,453],"Yiming Lei","Xiaofei Wang","Journal of Energy Chemistry",{"@type":87,"@id":1920,"schema:additionalType":89,"schema:identifier":1921,"schema:headline":1922,"schema:author":1923,"schema:datePublished":1789,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2023.108037","10.1016\u002Fj.est.2023.108037","State of charge estimation for lithium-ion batteries based on cross-domain transfer learning with feedback mechanism",[1924,1925,1862,1926,1927,1928],"Yongsong Yang","Lijun Zhao","Shizhuo Liu","Guanghui Zhou","Weixiang Shen",{"@type":87,"@id":1930,"schema:additionalType":89,"schema:identifier":1931,"schema:headline":1932,"schema:author":1933,"schema:datePublished":1789,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2023.110225","10.1016\u002Fj.est.2023.110225","Versatile and high-accuracy seq2seq model with self-attention mechanism for Li-ion battery characterization",[1934,1935,1936],"Yao Li","Shenghua Pu","Jian Wang",{"@type":87,"@id":1938,"schema:additionalType":89,"schema:identifier":1939,"schema:headline":1940,"schema:author":1941,"schema:datePublished":1789,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2023.109895","10.1016\u002Fj.est.2023.109895","Parameter extraction of the Cole-impedance model for in-situ monitoring of electrochemical sources",[656,1942,1943],"Varun Jeoti","Goran M. Stojanović",{"@type":87,"@id":1945,"schema:additionalType":89,"schema:identifier":1946,"schema:headline":1947,"schema:author":1948,"schema:datePublished":1789,"schema:isPartOf":709},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.apenergy.2023.122277","10.1016\u002Fj.apenergy.2023.122277","Orthogonal design based pulse preheating strategy for cold lithium-ion batteries",[1858,1859,1860,1949,1950,1951],"Rui Xiong","Yuanzhi Hu","Renhua Feng",{"@type":87,"@id":1953,"schema:additionalType":89,"schema:identifier":1954,"schema:headline":1955,"schema:author":1956,"schema:datePublished":1789,"schema:isPartOf":101},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.applthermaleng.2023.121590","10.1016\u002Fj.applthermaleng.2023.121590","Investigation of the thermal management potential of phase change material for lithium-ion battery",[1957,948,1958,1959,1960,1961,1962,946],"Haocheng Wang","Yong Ren","Siegfried K. Yeboah","Jing Wang","Fei Long","Zhiyu Zhang",{"@type":87,"@id":1964,"schema:additionalType":89,"schema:identifier":1965,"schema:headline":1966,"schema:author":1967,"schema:datePublished":1789,"schema:isPartOf":1979},"https:\u002F\u002Fdoi.org\u002F10.1002\u002Fcey2.353","10.1002\u002Fcey2.353","Thermally insulating and fire‐retardant bio‐mimic structural composites with a negative Poisson's ratio for battery protection",[1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1178,1978],"Fengyin Du","Zuquan Jin","Ruizhe Yang","Menglong Hao","Jiawei Wang","Gang Xu","Wenqiang Zuo","Zifan Geng","Hao Pan","Tian Li","Wei She","Carbon Energy",{"@type":87,"@id":1981,"schema:additionalType":89,"schema:identifier":1982,"schema:headline":1983,"schema:author":1984,"schema:datePublished":1789,"schema:isPartOf":790},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.energy.2023.129503","10.1016\u002Fj.energy.2023.129503","Particle swarm optimization of Elman neural network applied to battery state of charge and state of health estimation",[1985,1986,1987,1988,1989],"Matheus Henrique Rodrigues Miranda","Fabrício Leonardo Silva","Maria Augusta de Menezes Lourenço","Jony Javorski Eckert","Ludmila C. A. Silva",{"@type":87,"@id":1991,"schema:additionalType":89,"schema:identifier":1992,"schema:headline":1993,"schema:author":1994,"schema:datePublished":1789,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2023.107380","10.1016\u002Fj.est.2023.107380","A machine learning-based battery management system for state-of-charge prediction and state-of-health estimation for unmanned aerial vehicles",[1995,1996,1997],"Mostafa M. Shibl","Loay Sabry Ismail","Ahmed Mohamed Massoud",{"@type":87,"@id":1999,"schema:additionalType":89,"schema:identifier":2000,"schema:headline":2001,"schema:author":2002,"schema:datePublished":1789,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2023.108373","10.1016\u002Fj.est.2023.108373","A novel RBFNN-UKF-based SOC estimator for automatic underwater vehicles considering a temperature compensation strategy",[2003,2004,2005,2006,2007],"Peiyu Chen","Zhaoyong Mao","Chiyu Wang","Chengyi Lu","Junqiu Li",{"@type":87,"@id":2009,"schema:additionalType":89,"schema:identifier":2010,"schema:headline":2011,"schema:author":2012,"schema:datePublished":1789,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2023.108421","10.1016\u002Fj.est.2023.108421","Investigation of denoising autoencoder-based deep learning model in noise-riding experimental data for reliable state-of-charge estimation",[192,2013,194,195],"Moses Kang",{"@type":87,"@id":2015,"schema:additionalType":89,"schema:identifier":2016,"schema:headline":2017,"schema:author":2018,"schema:datePublished":1789,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2023.108774","10.1016\u002Fj.est.2023.108774","A temporal convolution and gated recurrent unit network with attention for state of charge estimation of lithium-ion batteries",[2019,2020,2021,2022,2023],"Kuo Yang","Yanyu Wang","Yugui Tang","Shujing Zhang","Zhen Zhang",{"@type":87,"@id":2025,"schema:additionalType":89,"schema:identifier":2026,"schema:headline":2027,"schema:author":2028,"schema:datePublished":1789,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2023.108915","10.1016\u002Fj.est.2023.108915","Physics-informed ensemble deep learning framework for improving state of charge estimation of lithium-ion batteries",[2029,2030,2031,2032,2033,2034,2035,2036],"Hanqing Yu","Zhengjie Zhang","Kaiyi Yang","Lisheng Zhang","Wentao Wang","Shichun Yang","Junfu Li","Xinhua Liu",{"@type":87,"@id":2038,"schema:additionalType":89,"schema:identifier":2039,"schema:headline":2040,"schema:author":2041,"schema:datePublished":1789,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2023.109243","10.1016\u002Fj.est.2023.109243","Model-based battery thermal parameter optimization using symbolic regression",[2042,2043,2044,2045],"Rafael I. De la Sotta","P. A. Estévez","Jorge R. Vergara","Williams R. Calderón-Muñoz",{"@type":87,"@id":2047,"schema:additionalType":89,"schema:identifier":2048,"schema:headline":2049,"schema:author":2050,"schema:datePublished":1789,"schema:isPartOf":734},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.microrel.2023.115112","10.1016\u002Fj.microrel.2023.115112","A knowledge-constrained CNN-BiLSTM model for lithium-ion batteries state-of-charge estimation",[2051,2052,2053,2054,2055],"Bei Yan","Wenjian Zheng","Diyin Tang","Yuanjun Laili","Yalan Xing",{"@type":87,"@id":2057,"schema:additionalType":89,"schema:identifier":2058,"schema:headline":2059,"schema:author":2060,"schema:datePublished":1789,"schema:isPartOf":2061},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.trpro.2023.11.046","10.1016\u002Fj.trpro.2023.11.046","Analysing unbalanced ageing in EV battery Packs using the Low-Cost Lumped Single Particle Model (LSPM): the impact of temperature gradients among parallel-connected cells",[1446,1449],"Transportation research procedia",{"@type":87,"@id":2063,"schema:additionalType":89,"schema:identifier":2064,"schema:headline":2065,"schema:author":2066,"schema:datePublished":1789,"schema:isPartOf":987},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Faccess.2023.3237972","10.1109\u002Faccess.2023.3237972","An Invariant Method for Electric Vehicle Battery State-of-Charge Estimation Under Dynamic Drive Cycles",[2067,2068,2069,2070],"Ali Wadi","Mamoun F. Abdel–Hafez","Hashim A. Hashim","Ala Al-Haj Hussein",{"@type":87,"@id":2072,"schema:additionalType":89,"schema:identifier":2073,"schema:headline":2074,"schema:author":2075,"schema:datePublished":1789},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fconecct57959.2023.10234789","10.1109\u002Fconecct57959.2023.10234789","Robust Battery Data Augmentation Techniques for Reliable State-of-Charge Estimation using Contrastive Learning",[2076,2077,2078,2079],"Vageesh Maiya","Vinayak Raj Urs","Janamejaya Channegowda","Chaitanya Lingaraj",{"@type":87,"@id":2081,"schema:additionalType":89,"schema:identifier":2082,"schema:headline":2083,"schema:author":2084,"schema:datePublished":1789},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fecai58194.2023.10194122","10.1109\u002Fecai58194.2023.10194122","Investigation of Deep Learning Based Techniques for Prognostic and Health Management of Lithium-Ion Battery",[2085,2086,2087,2088,2089,2090],"Umar Saleem","Weilin Li","Weinjie Liu","Ibtihaj Ahmad","Muhammad Mobeen Aslam","Hafiz Umair Lateef",{"@type":87,"@id":2092,"schema:additionalType":89,"schema:identifier":2093,"schema:headline":2094,"schema:author":2095,"schema:datePublished":1789},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fecce53617.2023.10362892","10.1109\u002Fecce53617.2023.10362892","Non-Linear Bipolar Pulse Characterisation of Lithium-ion Batteries",[2096,1752],"Alan Gen Li",{"@type":87,"@id":2098,"schema:additionalType":89,"schema:identifier":2099,"schema:headline":2100,"schema:author":2101,"schema:datePublished":1789},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fglobconht56829.2023.10087761","10.1109\u002Fglobconht56829.2023.10087761","State of Charge Estimation using Extended Kalman Filter with Temperature Compensation",[2102,2103,2104,2105,2106],"Govindh J Krishnan","Ajith Lal A A","F S Fabin","Alen Tinu George","Jeevamma Jacob",{"@type":87,"@id":2108,"schema:additionalType":89,"schema:identifier":2109,"schema:headline":2110,"schema:author":2111,"schema:datePublished":1789},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fi-pact58649.2023.10434520","10.1109\u002Fi-pact58649.2023.10434520","Extended Kalman-Bucy Filter with Fuzzy Hybrid Model for State of Charge Estimation of Lithium-Ion Batteries",[2112,2113,2114,2115,2116],"G Sugumaran","N. Amutha Prabha","Chockalingam Aravind Vaithilingam","Swee King Phang","Ari Happonen",{"@type":87,"@id":2118,"schema:additionalType":89,"schema:identifier":2119,"schema:headline":2120,"schema:author":2121,"schema:datePublished":1789},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fi-smac58438.2023.10290241","10.1109\u002Fi-smac58438.2023.10290241","AI-Powered Lithium-Ion Battery State of Charge Estimation for Enhanced Electric Vehicle Efficiency",[2122],"Gadigi Shashibhushan",{"@type":87,"@id":2124,"schema:additionalType":89,"schema:identifier":2125,"schema:headline":2126,"schema:author":2127,"schema:datePublished":1789},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fias54024.2023.10406857","10.1109\u002Fias54024.2023.10406857","Loss Minimization of Dual Active Bridge Converter Through Design Optimization in CC-CV Mode for Electric Vehicle Battery Charging Applications",[2128,2129,2130,2131],"Uddhav Surve","T Hari Narayana","Srirama Srinivas","Deepak Ronanki",{"@type":87,"@id":2133,"schema:additionalType":89,"schema:identifier":2134,"schema:headline":2135,"schema:author":2136,"schema:datePublished":1789},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficccnt56998.2023.10306403","10.1109\u002Ficccnt56998.2023.10306403","NARX Model Based Estimation of State of Charge of Lithium-Ion Batteries in Electric Vehicles under Varying Temperature Ranges",[2137,2138,2139],"Swapnil Tiwari","Bhavnesh Kumar","Arjun Tyagi",{"@type":87,"@id":2141,"schema:additionalType":89,"schema:identifier":2142,"schema:headline":2143,"schema:author":2144,"schema:datePublished":1789},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficcwamtip60502.2023.10387070","10.1109\u002Ficcwamtip60502.2023.10387070","Cross Domain Transfer Network For State Of Charge Estimation Of Li-On Batteries",[2145],"Yang Chongming",{"@type":87,"@id":2147,"schema:additionalType":89,"schema:identifier":2148,"schema:headline":2149,"schema:author":2150,"schema:datePublished":1789},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficeemt59522.2023.10262933","10.1109\u002Ficeemt59522.2023.10262933","Research on Lithium Battery SOC Prediction Method based on CSSA-BP",[2151,2152,2153,2154],"Ruilin Wang","Jinhai Wang","Shuo Wang","Yingying Zhang",{"@type":87,"@id":2156,"schema:additionalType":89,"schema:identifier":2157,"schema:headline":2158,"schema:author":2159,"schema:datePublished":1789},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficps57144.2023.10142117","10.1109\u002Ficps57144.2023.10142117","Fast State of Charge Estimation for Lithium-ion Battery Based on Electrochemical Impedance Spectroscopy Frequency Feature Extraction",[2160,2161,2162,2163,2164],"Laiqiang Kong","Sidun Fang","Tao Niu","Guanhong Chen","Ruijin Liao",{"@type":87,"@id":2166,"schema:additionalType":89,"schema:identifier":2167,"schema:headline":2168,"schema:author":2169,"schema:datePublished":1789},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fiscaie57739.2023.10164965","10.1109\u002Fiscaie57739.2023.10164965","Metaheuristic Approach for Optimizing Neural Networks Parameters in Battery State of Charge Estimation",[2170,2171,2172],"Zuriani Mustaffa","Mohd Herwan Sulaiman","Azlan Abdul Aziz",{"@type":87,"@id":2174,"schema:additionalType":89,"schema:identifier":2175,"schema:headline":2176,"schema:author":2177,"schema:datePublished":1789},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fisse57496.2023.10168454","10.1109\u002Fisse57496.2023.10168454","Investigation of Energy Flow in Particular Parts of the Discharge Characteristics of Li-ion Cells",[368,2178],"Igor Vehec",{"@type":87,"@id":2180,"schema:additionalType":89,"schema:identifier":2181,"schema:headline":2182,"schema:author":2183,"schema:datePublished":1789},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fpeas58692.2023.10394934","10.1109\u002Fpeas58692.2023.10394934","An Electrochemical Impedance Spectroscopy-Based Model for Lithium-Ion Batteries with Solid Phase Diffusion Process",[2184,1440,2185,2186,2187],"Yuanzhen Peng","Anqi Geng","Yanyu Chen","Zhaoyang Zhao",{"@type":87,"@id":2189,"schema:additionalType":89,"schema:identifier":2190,"schema:headline":2191,"schema:author":2192,"schema:datePublished":1789},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fpowertech55446.2023.10202982","10.1109\u002Fpowertech55446.2023.10202982","State of Charge Estimation Using a Nonlinear Autoregressive with Exogenous Input Neural Network",[2193,2194,2195,2196,2197],"Panagiotis Eleftheriadis","Filippo Lodigiani","Jacopo Bruneri","Emanuèle Ogliari","Sonia Leva",{"@type":87,"@id":2199,"schema:additionalType":89,"schema:identifier":2200,"schema:headline":2201,"schema:author":2202,"schema:datePublished":1789},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fstpec59253.2023.10430560","10.1109\u002Fstpec59253.2023.10430560","Comparative Analysis of Machine Learning Models for Li-Ion Battery SoC Estimation",[796,2203,798,799],"Vinayak S. Kale",{"@type":87,"@id":2205,"schema:additionalType":89,"schema:identifier":2206,"schema:headline":2207,"schema:author":2208,"schema:datePublished":1789,"schema:isPartOf":1744},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftec.2023.3285405","10.1109\u002Ftec.2023.3285405","Lithium-Ion Battery State of Charge Estimation With Adaptability to Changing Conditions",[2209,2210,2211],"Meng Zhan","Kofi Afrifa Agyeman","Xiaoyu Wang",{"@type":87,"@id":2213,"schema:additionalType":89,"schema:identifier":2214,"schema:headline":2158,"schema:author":2215,"schema:datePublished":1789,"schema:isPartOf":2217},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftia.2023.3324632","10.1109\u002Ftia.2023.3324632",[2160,2161,2162,2163,2216,2164],"Lijun Yang","IEEE Transactions on Industry Applications",{"@type":87,"@id":2219,"schema:additionalType":89,"schema:identifier":2220,"schema:headline":2221,"schema:author":2222,"schema:datePublished":1789,"schema:isPartOf":454},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftie.2023.3270526","10.1109\u002Ftie.2023.3270526","Fuzzy-Kalman-Filter-Based Short-Circuit Fault Diagnosis Design for Lithium-Ion Battery",[2223,2224,2225],"Haodong Zhang","Zhitao Liu","Hongye Su",{"@type":87,"@id":2227,"schema:additionalType":89,"schema:identifier":2228,"schema:headline":2229,"schema:author":2230,"schema:datePublished":1789,"schema:isPartOf":1142},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftim.2023.3306816","10.1109\u002Ftim.2023.3306816","An Improved Method Based on Support Vector Regression With Application Independent Training for State of Charge Estimation",[732,728,727,2231,733],"G. Chiorboli",{"@type":87,"@id":2233,"schema:additionalType":89,"schema:identifier":2234,"schema:headline":2235,"schema:author":2236,"schema:datePublished":1789,"schema:isPartOf":2242},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftpel.2023.3251568","10.1109\u002Ftpel.2023.3251568","Source-Free Cross-Domain State of Charge Estimation of Lithium-Ion Batteries at Different Ambient Temperatures",[2237,2238,2239,2240,2241],"Liyuan Shen","Jingjing Li","Lin Zuo","Lei Zhu","Heng Tao Shen","IEEE Transactions on Power Electronics",{"@type":87,"@id":2244,"schema:additionalType":89,"schema:identifier":2245,"schema:headline":2246,"schema:author":2247,"schema:datePublished":1789,"schema:isPartOf":2242},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftpel.2023.3309934","10.1109\u002Ftpel.2023.3309934","Time–Frequency Domain Deep Convolutional Neural Network for Li-Ion Battery SoC Estimation",[399,401,400,2248],"Hyun Duck Choi",{"@type":87,"@id":2250,"schema:additionalType":89,"schema:identifier":2251,"schema:headline":2252,"schema:author":2253,"schema:datePublished":1789,"schema:isPartOf":2257},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftpwrd.2023.3317804","10.1109\u002Ftpwrd.2023.3317804","Control Design for Effective Usage of Electric Vehicles in V2G-Enabled DC Charging Stations",[2254,2255,2256],"Asal Zabetian‐Hosseini","G. Joós","Benoît Boulet","IEEE Transactions on Power Delivery",{"@type":87,"@id":2259,"schema:additionalType":89,"schema:identifier":2260,"schema:headline":2261,"schema:author":2262,"schema:datePublished":1789,"schema:isPartOf":1166},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftte.2023.3238282","10.1109\u002Ftte.2023.3238282","Interpretable Real-Time Modeling of the Diffusion Overpotential in Lithium Batteries",[1750,1752],{"@type":87,"@id":2264,"schema:additionalType":89,"schema:identifier":2265,"schema:headline":2266,"schema:author":2267,"schema:datePublished":1789,"schema:isPartOf":1166},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftte.2023.3293551","10.1109\u002Ftte.2023.3293551","Transfer Learning-Based State of Charge and State of Health Estimation for Li-Ion Batteries: A Review",[2237,2238,2268,2240,2241],"Lichao Meng",{"@type":87,"@id":2270,"schema:additionalType":89,"schema:identifier":2271,"schema:headline":2272,"schema:author":2273,"schema:datePublished":1789,"schema:isPartOf":1166},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftte.2023.3294417","10.1109\u002Ftte.2023.3294417","Sensorless Temperature Monitoring of Lithium-Ion Batteries by Integrating Physics With Machine Learning",[2274,2275,2276,2277,2278],"Yusheng Zheng","Yunhong Che","Xiaosong Hu","Xin Sui","Remus Teodorescu",{"@type":87,"@id":2280,"schema:additionalType":89,"schema:identifier":2281,"schema:headline":2282,"schema:author":2283,"schema:datePublished":1789},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fvppc60535.2023.10403279","10.1109\u002Fvppc60535.2023.10403279","Comparative Study Between Unscented Kalman Filter and Multi-Layer Perceptron Applied in an Electric Vehicle Simulation with Pack Parameters Generated from the Database",[2284,2285,2286,2287,2288,2289],"Kawe Monteiro de Souza","José Rodolfo Galvão","Jorge Augusto Pessatto Mondadori","Fernanda Cristina Corrêa","Paulo Broniera Junior","Maria Bernadete de Morais França",{"@type":87,"@id":2291,"schema:additionalType":89,"schema:identifier":2292,"schema:headline":2293,"schema:author":2294,"schema:datePublished":1789},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fwintechcon58518.2023.10276501","10.1109\u002Fwintechcon58518.2023.10276501","Extended Battery Parameter Synthetic Data Generation Using Sparse Attention Mechanism",[2295,2078,2079],"Niharika Joshi",{"@type":87,"@id":2297,"schema:additionalType":89,"schema:identifier":2298,"schema:headline":2299,"schema:author":2300,"schema:datePublished":1789,"schema:isPartOf":2303},"https:\u002F\u002Fdoi.org\u002F10.21203\u002Frs.3.rs-2963605\u002Fv1","10.21203\u002Frs.3.rs-2963605\u002Fv1","AI-based FPGA Accelerator for EVs Battery Management System",[2301,2302],"Satyashil D. Nagarale","B. P. Patil","Research Square",{"@type":87,"@id":2305,"schema:additionalType":89,"schema:identifier":2306,"schema:headline":2307,"schema:author":2308,"schema:datePublished":1789},"https:\u002F\u002Fdoi.org\u002F10.23919\u002Fepe23ecceeurope58414.2023.10264297","10.23919\u002Fepe23ecceeurope58414.2023.10264297","Online Measurement Method of Electrochemical Impedance of Electric Vehicle Battery Based on Three-Phase Motor Drive Inverter",[2309,2310,2311,2312],"Boyang Li","Hongyan Qu","Min Zhou","Dong Jiang",{"@type":87,"@id":2314,"schema:additionalType":89,"schema:identifier":2315,"schema:headline":2316,"schema:author":2317,"schema:datePublished":1789},"https:\u002F\u002Fdoi.org\u002F10.23919\u002Ficpe2023-ecceasia54778.2023.10213550","10.23919\u002Ficpe2023-ecceasia54778.2023.10213550","Impedance Identification Signal Excitation for Series-End Winding Motor System",[2310,2309,2311,2312,2318],"Wei Tan Sun",{"@type":87,"@id":2320,"schema:additionalType":89,"schema:identifier":2321,"schema:headline":2322,"schema:author":2323,"schema:datePublished":1789},"https:\u002F\u002Fdoi.org\u002F10.23919\u002Ficpe2023-ecceasia54778.2023.10213733","10.23919\u002Ficpe2023-ecceasia54778.2023.10213733","Feasibility of EIS on Module Level Li-ion Batteries for Echelon Utilization",[2324,2325,2326,2327,2328],"Alexandru Savca","Seyedreza Azizighalehsari","P. Venugopal","Gert Rietveld","Thiago Batista Soeiro",{"@type":87,"@id":2330,"schema:additionalType":89,"schema:identifier":2331,"schema:headline":2332,"schema:author":2333,"schema:datePublished":1789,"schema:isPartOf":487},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fbatteries9050266","10.3390\u002Fbatteries9050266","State of Charge Estimation for Batteries Based on Common Feature Extraction and Transfer Learning",[1889,2334,2335,2336],"Jianhua Xu","Xuejing Ding","Hongqiang Lyu",{"@type":87,"@id":2338,"schema:additionalType":89,"schema:identifier":2339,"schema:headline":2340,"schema:author":2341,"schema:datePublished":1789,"schema:isPartOf":521},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Felectronics12214433","10.3390\u002Felectronics12214433","Estimation of Lithium-Ion Battery State of Charge Based on Genetic Algorithm Support Vector Regression under Multiple Temperatures",[381,2342,2343],"Zhenhua Li","Jie Wei",{"@type":87,"@id":2345,"schema:additionalType":89,"schema:identifier":2346,"schema:headline":2347,"schema:author":2348,"schema:datePublished":1789,"schema:isPartOf":530},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fen16165887","10.3390\u002Fen16165887","Robust Electro-Thermal Modeling of Lithium-Ion Batteries for Electrified Vehicles Applications",[2349,2350,2351,2352,1260],"Mina Naguib","Aashit Rathore","Nathan Emery","Shiva Ghasemi",{"@type":87,"@id":2354,"schema:additionalType":89,"schema:identifier":2355,"schema:headline":2356,"schema:author":2357,"schema:datePublished":1789,"schema:isPartOf":538},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fmath11224635","10.3390\u002Fmath11224635","DLPformer: A Hybrid Mathematical Model for State of Charge Prediction in Electric Vehicles Using Machine Learning Approaches",[2358,2359,2360,2361,2362,2363,2364],"Yaoyidi Wang","Niansheng Chen","Guangyu Fan","Dingyu Yang","Lei Rao","Songlin Cheng","Xiaoyong Song",{"@type":87,"@id":2366,"schema:additionalType":89,"schema:identifier":2367,"schema:headline":2368,"schema:author":2369,"schema:datePublished":2372,"schema:isPartOf":2373},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.asoc.2021.108401","10.1016\u002Fj.asoc.2021.108401","Robust state-of-charge estimation of Li-ion batteries based on multichannel convolutional and bidirectional recurrent neural networks",[824,826,2370,2371],"Jie Liu","Enrico Zio",2022,"Applied Soft Computing",{"@type":87,"@id":2375,"schema:additionalType":89,"schema:identifier":2376,"schema:headline":2377,"schema:author":2378,"schema:datePublished":2372,"schema:isPartOf":790},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.energy.2022.123178","10.1016\u002Fj.energy.2022.123178","Lithium-ion battery state-of-charge estimation for small target sample sets using the improved GRU-based transfer learning",[2379,2380,1178],"Ya‐Xiong Wang","Zhenhang Chen",{"@type":87,"@id":2382,"schema:additionalType":89,"schema:identifier":2383,"schema:headline":2384,"schema:author":2385,"schema:datePublished":2372,"schema:isPartOf":790},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.energy.2022.124328","10.1016\u002Fj.energy.2022.124328","Real-time state of charge estimation for electric vehicle power batteries using optimized filter",[688,689],{"@type":87,"@id":2387,"schema:additionalType":89,"schema:identifier":2388,"schema:headline":2389,"schema:author":2390,"schema:datePublished":2372,"schema:isPartOf":790},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.energy.2022.124415","10.1016\u002Fj.energy.2022.124415","Towards efficient state of charge estimation of lithium-ion batteries using canonical correlation analysis",[964,2391,2392],"Xianchao Xiu","Ying Zhen Yang",{"@type":87,"@id":2394,"schema:additionalType":89,"schema:identifier":2395,"schema:headline":2396,"schema:author":2397,"schema:datePublished":2372,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2022.103974","10.1016\u002Fj.est.2022.103974","Phase change material selection using simulation-oriented optimization to improve the thermal performance of lithium-ion battery",[1834,1835],{"@type":87,"@id":2399,"schema:additionalType":89,"schema:identifier":2400,"schema:headline":2401,"schema:author":2402,"schema:datePublished":2372,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2022.104358","10.1016\u002Fj.est.2022.104358","Energy-efficient battery management system for healthcare devices",[2403,2404,2405],"M. Zohaib Nawaz","Jameel Ahmed","Ghulam Abbas",{"@type":87,"@id":2407,"schema:additionalType":89,"schema:identifier":2408,"schema:headline":2409,"schema:author":2410,"schema:datePublished":2372,"schema:isPartOf":2412},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.firesaf.2022.103573","10.1016\u002Fj.firesaf.2022.103573","On a method to mitigate thermal runaway and propagation in packages of lithium ion batteries",[2411],"James G. Quintiere","Fire Safety Journal",{"@type":87,"@id":2414,"schema:additionalType":89,"schema:identifier":2415,"schema:headline":2416,"schema:author":2417,"schema:datePublished":2372,"schema:isPartOf":966},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.measurement.2022.111046","10.1016\u002Fj.measurement.2022.111046","Gated recurrent unit least-squares generative adversarial network for battery cycle life prediction",[2418,2419,2420,2421,2422,2423],"Reza Rouhi Ardeshiri","Roozbeh Razavi‐Far","Tao Li","Xu Wang","Chengbin Ma","Ming Liu",{"@type":87,"@id":2425,"schema:additionalType":89,"schema:identifier":2426,"schema:headline":2427,"schema:author":2428,"schema:datePublished":2372,"schema:isPartOf":1819},"https:\u002F\u002Fdoi.org\u002F10.1149\u002F1945-7111\u002Fac5cf2","10.1149\u002F1945-7111\u002Fac5cf2","State of Charge Estimation for Lithium-Ion Batteries Based on TCN-LSTM Neural Networks",[2429,2430,2431,2432],"Chunsheng Hu","Fangjuan Cheng","Liang Ma","Bohao Li",{"@type":87,"@id":2434,"schema:additionalType":89,"schema:identifier":2435,"schema:headline":2436,"schema:author":2437,"schema:datePublished":2372,"schema:isPartOf":1819},"https:\u002F\u002Fdoi.org\u002F10.1149\u002F1945-7111\u002Fac9d09","10.1149\u002F1945-7111\u002Fac9d09","The Bidirectional Gate Recurrent Unit Based Attention Mechanism Network for State of Charge Estimation",[2438,1787,222,2439,2440],"Yanxin Zhang","Manfeng Hu","Lei Chen",{"@type":87,"@id":2442,"schema:additionalType":89,"schema:identifier":2443,"schema:headline":2444,"schema:author":2445,"schema:datePublished":2372,"schema:isPartOf":2446},"https:\u002F\u002Fdoi.org\u002F10.1002\u002Fer.7784","10.1002\u002Fer.7784","Synthetic battery attribute generation to surmount data scarcity using auto‐correlation mechanism",[2078,2077,2079],"International Journal of Energy Research",{"@type":87,"@id":2448,"schema:additionalType":89,"schema:identifier":2449,"schema:headline":2450,"schema:author":2451,"schema:datePublished":2372,"schema:isPartOf":2446},"https:\u002F\u002Fdoi.org\u002F10.1002\u002Fer.8481","10.1002\u002Fer.8481","A long sequence synthetic battery parameter generation perspective using reliable self‐attention mechanism",[2076,2078,2079],{"@type":87,"@id":2453,"schema:additionalType":89,"schema:identifier":2454,"schema:headline":2455,"schema:author":2456,"schema:datePublished":2372,"schema:isPartOf":2446},"https:\u002F\u002Fdoi.org\u002F10.1002\u002Fer.8651","10.1002\u002Fer.8651","Contrastive learning for practical battery synthetic data generation using seasonal and trend representations",[2457,2078],"Hruday Gowda",{"@type":87,"@id":2459,"schema:additionalType":89,"schema:identifier":2460,"schema:headline":2461,"schema:author":2462,"schema:datePublished":2372,"schema:isPartOf":487},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fbatteries9010006","10.3390\u002Fbatteries9010006","Influence of Breathing and Swelling on the Jelly-Roll Case Gap of Cylindrical Lithium-Ion Battery Cells",[2463,2464,2465,2466,2467,2468],"Markus Spielbauer","Marco Steinhardt","Jan Singer","Andreas Aufschläger","Oliver S. Bohlen","Andreas Jossen",{"@type":87,"@id":2470,"schema:additionalType":89,"schema:identifier":2471,"schema:headline":2472,"schema:author":2473,"schema:datePublished":2372,"schema:isPartOf":547},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fs22166303","10.3390\u002Fs22166303","State-of-Charge Estimation for Lithium-Ion Batteries Using Residual Convolutional Neural Networks",[2474,2475,2476,2477,2478],"Yu-Chun Wang","Nei-Chun Shao","Guanwen Chen","Wei-Shen Hsu","Shun‐Chi Wu",{"@type":87,"@id":2480,"schema:additionalType":89,"schema:identifier":2481,"schema:headline":2482,"schema:author":2483,"schema:datePublished":2372,"schema:isPartOf":2486},"https:\u002F\u002Fdoi.org\u002F10.1002\u002Fadts.202200128","10.1002\u002Fadts.202200128","A Graph‐Based Lithium‐Ion Battery Parameter Estimation Approach to Produce Diverse Synthetic Data",[2078,2484,2485],"Yugendra Gowda Lachappa","Shefali Jagwani","Advanced Theory and Simulations",{"@type":87,"@id":2488,"schema:additionalType":89,"schema:identifier":2489,"schema:headline":2490,"schema:author":2491,"schema:datePublished":2372,"schema:isPartOf":2497},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fmi13091397","10.3390\u002Fmi13091397","State of Charge Estimation of Lithium-Ion Batteries Using Stacked Encoder–Decoder Bi-Directional LSTM for EV and HEV Applications",[2492,2493,2494,2495,2496],"Pranaya K. Terala","Ayodeji S. Ogundana","Simon Y. Foo","Migara Y. Amarasinghe","Huanyu Zang","Micromachines",{"@type":87,"@id":2499,"schema:additionalType":89,"schema:identifier":2500,"schema:headline":2501,"schema:author":2502,"schema:datePublished":2372,"schema:isPartOf":2504},"https:\u002F\u002Fdoi.org\u002F10.1016\u002FB978-0-323-95879-0.50242-3","10.1016\u002Fb978-0-323-95879-0.50242-3","Online state of charge estimation of lithium-ion battery using surrogate model based on electrochemical model",[1395,2503,1396,1397],"Kyojin Jang","Computer-aided chemical engineering\u002FComputer aided chemical engineering",{"@type":87,"@id":2506,"schema:additionalType":89,"schema:identifier":2507,"schema:headline":2508,"schema:author":2509,"schema:datePublished":2372,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2022.106263","10.1016\u002Fj.est.2022.106263","A multi-dimensional residual shrinking network combined with a long short-term memory network for state of charge estimation of Li-ion batteries",[2510,2511,2512,2513,2514,2515],"Rui Quan","Pin Liu","Zhongxin Li","Yangxin Li","Yufang Chang","Huaicheng Yan",{"@type":87,"@id":2517,"schema:additionalType":89,"schema:identifier":2518,"schema:headline":2519,"schema:author":2520,"schema:datePublished":2372,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2022.106298","10.1016\u002Fj.est.2022.106298","A novel convolutional informer network for deterministic and probabilistic state-of-charge estimation of lithium-ion batteries",[2521,2522,2523,2524,2525,2526],"Runmin Zou","Yuxin Duan","Yun Wang","Jiameng Pang","Fulin Liu","Shakil Rehman Sheikh",{"@type":87,"@id":2528,"schema:additionalType":89,"schema:identifier":2529,"schema:headline":2530,"schema:author":2531,"schema:datePublished":2372,"schema:isPartOf":362},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jpowsour.2022.232238","10.1016\u002Fj.jpowsour.2022.232238","Estimating battery state-of-charge with a few target training data by meta-learning",[2532,2533],"Daeung Jeong","Sungwoo Bae",{"@type":87,"@id":2535,"schema:additionalType":89,"schema:identifier":2536,"schema:headline":2537,"schema:author":2538,"schema:datePublished":2372,"schema:isPartOf":2446},"https:\u002F\u002Fdoi.org\u002F10.1002\u002Fer.8067","10.1002\u002Fer.8067","A Fletcher‐Reeves conjugate gradient optimized multi‐reservoir echo state network for state of charge estimation in vehicle battery",[1910,222,2539],"Meng Jiao",{"@type":87,"@id":2541,"schema:additionalType":89,"schema:identifier":2542,"schema:headline":2543,"schema:author":2544,"schema:datePublished":2372,"schema:isPartOf":2446},"https:\u002F\u002Fdoi.org\u002F10.1002\u002Fer.8498","10.1002\u002Fer.8498","A dual‐rate sampled multiple innovation adaptive extended Kalman filter algorithm for state of charge estimation",[2545,222],"Jieyu Xu",{"@type":87,"@id":2547,"schema:additionalType":89,"schema:identifier":2548,"schema:headline":2549,"schema:author":2550,"schema:datePublished":2372,"schema:isPartOf":2446},"https:\u002F\u002Fdoi.org\u002F10.1002\u002Fer.8514","10.1002\u002Fer.8514","A beetle antennae search optimized recurrent extreme learning machine for battery state of charge estimation",[1910,222],{"@type":87,"@id":2552,"schema:additionalType":89,"schema:identifier":2553,"schema:headline":2554,"schema:author":2555,"schema:datePublished":2372,"schema:isPartOf":2561},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fapec43599.2022.9773705","10.1109\u002Fapec43599.2022.9773705","Bidirectional Constant Current S2C Battery Equalizer Based on Fixed-Frequency L2C3 Resonant Converter",[2556,2557,2558,2559,2560],"Zhengqi Wei","Haoyu Wang","Yiqing Lu","Guangdong Ning","Minfan Fu","2022 IEEE Applied Power Electronics Conference and Exposition (APEC)",{"@type":87,"@id":2563,"schema:additionalType":89,"schema:identifier":2564,"schema:headline":2565,"schema:author":2566,"schema:datePublished":2372,"schema:isPartOf":2567},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fconecct55679.2022.9865732","10.1109\u002Fconecct55679.2022.9865732","Synthetic Data Generation using Resilient Sample Convolution and Interactive Learning Approach",[2077,2076,2078,2079],"2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)",{"@type":87,"@id":2569,"schema:additionalType":89,"schema:identifier":2570,"schema:headline":2571,"schema:author":2572,"schema:datePublished":2372,"schema:isPartOf":2573},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fecce50734.2022.9947461","10.1109\u002Fecce50734.2022.9947461","Fast incremental capacity analysis in lithium-ion batteries using pulse-injection-aided machine learning",[2096,1752],"2022 IEEE Energy Conversion Congress and Exposition (ECCE)",{"@type":87,"@id":2575,"schema:additionalType":89,"schema:identifier":2576,"schema:headline":2577,"schema:author":2578,"schema:datePublished":2372,"schema:isPartOf":2584},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fenergycon53164.2022.9830324","10.1109\u002Fenergycon53164.2022.9830324","Digital Twin-Driven Estimation of State of Charge for Li-ion Battery",[2579,2580,2581,2582,2583],"Kai Zhao","Ying Liu","Wenlong Ming","Yue Zhou","Jianzhong Wu","2022 IEEE 7th International Energy Conference (ENERGYCON)",{"@type":87,"@id":2586,"schema:additionalType":89,"schema:identifier":2587,"schema:headline":2588,"schema:author":2589,"schema:datePublished":2372,"schema:isPartOf":2596},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficecet55527.2022.9873001","10.1109\u002Ficecet55527.2022.9873001","The State Estimation Strategy of Vehicular Batteries under a CPS Architecture",[2590,2591,2592,2593,2594,2595],"Jingwei Dou","Hongwen He","Jianwei Li","Yingjuan Tang","Xuyang Zhao","Yunlong Wang","2022 International Conference on Electrical, Computer and Energy Technologies (ICECET)",{"@type":87,"@id":2598,"schema:additionalType":89,"schema:identifier":2599,"schema:headline":2600,"schema:author":2601,"schema:datePublished":2372},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficetecc56662.2022.10069969","10.1109\u002Ficetecc56662.2022.10069969","Estimating State of Charge and State of Health of Electrified Vehicle Battery by Data Driven Approach: Machine Learning",[2602,2603,2604,2605],"Shaffa Ali Memon","Ali Hamza","Syed Sajjad Haider Zaidi","Bilal Muhammad Khan",{"@type":87,"@id":2607,"schema:additionalType":89,"schema:identifier":2608,"schema:headline":2609,"schema:author":2610,"schema:datePublished":2372},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fiisa56318.2022.9904407","10.1109\u002Fiisa56318.2022.9904407","A Machine Learning Framework for Li-Ion Battery Lifetime Prognostics",[2611,2612,2613,2614],"Afroditi Fouka","Katerina Lepenioti","Alexandros Bousdekis","Gregoris N. Mentzas",{"@type":87,"@id":2616,"schema:additionalType":89,"schema:identifier":2617,"schema:headline":2618,"schema:author":2619,"schema:datePublished":2372,"schema:isPartOf":2622},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Findicon56171.2022.10039773","10.1109\u002Findicon56171.2022.10039773","State of Charge Estimation of Li-ion Batteries through Efficient Gated Recurrent Neural Networks using Engineered features",[2620,2621],"D. V. Uday Kumar Reddy","Ravikumar Bhimasingu","2022 IEEE 19th India Council International Conference (INDICON)",{"@type":87,"@id":2624,"schema:additionalType":89,"schema:identifier":2625,"schema:headline":2626,"schema:author":2627,"schema:datePublished":2372,"schema:isPartOf":2631},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fisie51582.2022.9831758","10.1109\u002Fisie51582.2022.9831758","Analysis of two Equivalent Circuit Models for State of Charge Estimation using Kalman Filters",[2628,2629,2630],"German Monsalve","Alben Cardenas","Wilmar H. Martinez","2022 IEEE 31st International Symposium on Industrial Electronics (ISIE)",{"@type":87,"@id":2633,"schema:additionalType":89,"schema:identifier":2634,"schema:headline":2635,"schema:author":2636,"schema:datePublished":2372},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fisriti56927.2022.10053022","10.1109\u002Fisriti56927.2022.10053022","Evaluation of State of Charge Estimation of Lithium-ion Batteries using Deep Learning",[2637,2638,2639],"Devi Yesitasari","Adha Imam Cahyadi","Eka Firmansyah",{"@type":87,"@id":2641,"schema:additionalType":89,"schema:identifier":2642,"schema:headline":2643,"schema:author":2644,"schema:datePublished":2372},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fisse54558.2022.9812815","10.1109\u002Fisse54558.2022.9812815","State of Charge Estimation of Li-Ion Batteries using Artificial Neural Networks",[2645,2646],"Nicolae Alexandru Sârbu","Dorin Marius Petreuș",{"@type":87,"@id":2648,"schema:additionalType":89,"schema:identifier":2649,"schema:headline":2650,"schema:author":2651,"schema:datePublished":2372},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fitec53557.2022.9813753","10.1109\u002Fitec53557.2022.9813753","Comparing Traditional and Machine Learning Models for Battery SOC Calculation",[2652,2653,2654,2655,1260,2656,2657],"Fernando A. Barrios","James Di Donato","Carlos Vidal","Nithin Chemmanoor","Ali Emadi","Saeid R. Habibi",{"@type":87,"@id":2659,"schema:additionalType":89,"schema:identifier":2660,"schema:headline":2661,"schema:author":2662,"schema:datePublished":2372},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fitec53557.2022.9813805","10.1109\u002Fitec53557.2022.9813805","State of Charge Imbalance Classification of Lithium-ion Battery Strings using Pulse-Injection-Aided Machine Learning",[2096,1752],{"@type":87,"@id":2664,"schema:additionalType":89,"schema:identifier":2665,"schema:headline":2666,"schema:author":2667,"schema:datePublished":2372},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fitec53557.2022.9813811","10.1109\u002Fitec53557.2022.9813811","State of Charge Estimation for EV Batteries Using Support Vector Regression",[2668,2669,2670,1260,2671,2656],"Sarah Jumah","Ahmed Elezab","Omar Zayed","Mehdi Narimani",{"@type":87,"@id":2673,"schema:additionalType":89,"schema:identifier":2674,"schema:headline":2675,"schema:author":2676,"schema:datePublished":2372},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fitec53557.2022.9813853","10.1109\u002Fitec53557.2022.9813853","Voltage Sensor Fault Detection in Li-ion Battery Energy Storage Systems",[2677,2678,2679,2680],"Namireddy Praveen Reddy","Yuxuan Cai","Roger Skjetne","Dimitrios Papageorgiou",{"@type":87,"@id":2682,"schema:additionalType":89,"schema:identifier":2683,"schema:headline":2684,"schema:author":2685,"schema:datePublished":2372},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fitec53557.2022.9813868","10.1109\u002Fitec53557.2022.9813868","Fast Time-domain Impedance Spectroscopy of Lithium-ion Batteries using Pulse Perturbation",[1750,2686,2687,1752],"Youssef Fahmy","Melissa M. Wu",{"@type":87,"@id":2689,"schema:additionalType":89,"schema:identifier":2690,"schema:headline":2691,"schema:author":2692,"schema:datePublished":2372},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fmetroautomotive54295.2022.9855050","10.1109\u002Fmetroautomotive54295.2022.9855050","A flexible machine learning based framework for state of charge evaluation",[728,732,727,733],{"@type":87,"@id":2694,"schema:additionalType":89,"schema:identifier":2695,"schema:headline":2696,"schema:author":2697,"schema:datePublished":2372,"schema:isPartOf":2701},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fpeac56338.2022.9959720","10.1109\u002Fpeac56338.2022.9959720","State of Charge Estimation Based on Enchanced Sliding Mode Observer for Lithium-ion Battery",[2698,2699,1659,2700,1656],"Jiaxin Qian","Zhiwei He","Zhengyi Bao","2022 IEEE International Power Electronics and Application Conference and Exposition (PEAC)",{"@type":87,"@id":2703,"schema:additionalType":89,"schema:identifier":2704,"schema:headline":2705,"schema:author":2706,"schema:datePublished":2372},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fspies55999.2022.10082034","10.1109\u002Fspies55999.2022.10082034","A Novel State-of-Charge Estimation Method for Lithium-ion Batteries Using Convolutional Transformer Network and Sigma-point Kalman Filter",[2522,2521],{"@type":87,"@id":2708,"schema:additionalType":89,"schema:identifier":2709,"schema:headline":2710,"schema:author":2711,"schema:datePublished":2372,"schema:isPartOf":1142},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftim.2022.3183661","10.1109\u002Ftim.2022.3183661","A Randles Circuit Parameter Estimation of Li-Ion Batteries With Embedded Hardware",[656,2712,1942,1943],"Adrian K. Stavrakis",{"@type":87,"@id":2714,"schema:additionalType":89,"schema:identifier":2715,"schema:headline":2716,"schema:author":2717,"schema:datePublished":2372,"schema:isPartOf":2725},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftnnls.2022.3176925","10.1109\u002Ftnnls.2022.3176925","A Transfer Learning-Based Method for Personalized State of Health Estimation of Lithium-Ion Batteries",[2718,2719,2720,2721,2722,2723,2724],"Guijun Ma","Songpei Xu","Tao Yang","Zhenbang Du","Limin Zhu","Han Ding","Ye Yuan","IEEE Transactions on Neural Networks and Learning Systems",{"@type":87,"@id":2727,"schema:additionalType":89,"schema:identifier":2728,"schema:headline":2729,"schema:author":2730,"schema:datePublished":2372,"schema:isPartOf":2242},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftpel.2022.3205440","10.1109\u002Ftpel.2022.3205440","Bidirectional Constant Current String-to-Cell Battery Equalizer Based on L2C3 Resonant Topology",[2556,2557,2558,2731,2559,2560],"Dongdong Shu",{"@type":87,"@id":2733,"schema:additionalType":89,"schema:identifier":2734,"schema:headline":2735,"schema:author":2736,"schema:datePublished":2372,"schema:isPartOf":2242},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftpel.2022.3220760","10.1109\u002Ftpel.2022.3220760","Temperature Adaptive Transfer Network for Cross-Domain State-of-Charge Estimation of Li-Ion Batteries",[2237,2238,2737,2240,2241],"Jieyan Liu",{"@type":87,"@id":2739,"schema:additionalType":89,"schema:identifier":2740,"schema:headline":2741,"schema:author":2742,"schema:datePublished":2372,"schema:isPartOf":1166},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftte.2022.3200225","10.1109\u002Ftte.2022.3200225","Application of Deep Neural Networks for Lithium-Ion Battery Surface Temperature Estimation Under Driving and Fast Charge Conditions",[2349,2743,2656],"Phillip J. Kollmeyer",{"@type":87,"@id":2745,"schema:additionalType":89,"schema:identifier":2746,"schema:headline":2747,"schema:author":2748,"schema:datePublished":2372,"schema:isPartOf":2752},"https:\u002F\u002Fdoi.org\u002F10.23919\u002Fipec-himeji2022-ecce53331.2022.9806857","10.23919\u002Fipec-himeji2022-ecce53331.2022.9806857","An RLS Based Battery Modeling Method to Compensate for Recovery Effect in Battery Balancing",[2558,2557,2749,2750,2751],"Hengzhao Yang","Shaojie Chen","Wei Liu","2022 International Power Electronics Conference (IPEC-Himeji 2022- ECCE Asia)",{"@type":87,"@id":2754,"schema:additionalType":89,"schema:identifier":2755,"schema:headline":2756,"schema:author":2757,"schema:datePublished":2759,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2021.102440","10.1016\u002Fj.est.2021.102440","State of Charge and State of Energy Estimation for Lithium-Ion Batteries Based on a Long Short-Term Memory Neural Network",[2431,2758,2430],"Chao Hu",2021,{"@type":87,"@id":2761,"schema:additionalType":89,"schema:identifier":2762,"schema:headline":2763,"schema:author":2764,"schema:datePublished":2759,"schema:isPartOf":2769},"https:\u002F\u002Fdoi.org\u002F10.1016\u002FJ.EGYAI.2021.100081","10.1016\u002Fj.egyai.2021.100081","Lithium-ion battery data and where to find it",[2765,2766,2767,2768],"Gonçalo dos Reis","Calum Strange","Mohit Yadav","Xiang Li","Energy and AI",{"@type":87,"@id":2771,"schema:additionalType":89,"schema:identifier":2772,"schema:headline":2773,"schema:author":2774,"schema:datePublished":2759,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2021.102918","10.1016\u002Fj.est.2021.102918","Real-time optimal fast charging of Li-ion batteries with varying temperature and charging behaviour constraints",[2775,2776,2777],"Praveen Nambisan","Pankaj Saha","Munmun Khanra",{"@type":87,"@id":2779,"schema:additionalType":89,"schema:identifier":2780,"schema:headline":2781,"schema:author":2782,"schema:datePublished":2759,"schema:isPartOf":790},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.energy.2021.120116","10.1016\u002Fj.energy.2021.120116","State of charge prediction of EV Li-ion batteries using EIS: A machine learning approach",[2783,2784,2785],"Iman Babaeiyazdi","Afshin Rezaei‐Zare","Shahab Shokrzadeh",{"@type":87,"@id":2787,"schema:additionalType":89,"schema:identifier":2788,"schema:headline":2789,"schema:author":2790,"schema:datePublished":2759,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2021.103245","10.1016\u002Fj.est.2021.103245","A hybrid approach for remaining useful life prediction of lithium-ion battery with Adaptive Levy Flight optimized Particle Filter and Long Short-Term Memory network",[2791,2792,2793,2794,2795,2796],"Yong Zhang","Liaogehao Chen","Yi Li","Xiujuan Zheng","Jianliang Chen","Junyang Jin",{"@type":87,"@id":2798,"schema:additionalType":89,"schema:identifier":2799,"schema:headline":2800,"schema:author":2801,"schema:datePublished":2759,"schema:isPartOf":2446},"https:\u002F\u002Fdoi.org\u002F10.1002\u002Fer.6972","10.1002\u002Fer.6972","Single point diagnosis of short circuit abuse condition in lithium‐ion battery through impedance data",[2802,1805,2803,2804],"Mayank Vyas","Shitanshu Sapre","Akhil Garg",{"@type":87,"@id":2806,"schema:additionalType":89,"schema:identifier":2807,"schema:headline":2808,"schema:author":2809,"schema:datePublished":2759,"schema:isPartOf":530},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fen14238037","10.3390\u002Fen14238037","Performance Analysis of Commercial Passive Balancing Battery Management System Operation Using a Hardware-in-the-Loop Testbed",[2810,2811,2812],"Asadullah Khalid","Alexander Stevenson","Arif I. Sarwat",{"@type":87,"@id":2814,"schema:additionalType":89,"schema:identifier":2815,"schema:headline":2816,"schema:author":2817,"schema:datePublished":2759,"schema:isPartOf":530},"https:\u002F\u002Fdoi.org\u002F10.3390\u002FEN14030758","10.3390\u002Fen14030758","Adaptive Online State of Charge Estimation of EVs Lithium-Ion Batteries with Deep Recurrent Neural Networks",[2818,2819,2820],"Gelareh Javid","Djaffar Ould Abdeslam","Michel Basset",{"@type":87,"@id":2822,"schema:additionalType":89,"schema:identifier":2823,"schema:headline":2824,"schema:author":2825,"schema:datePublished":2759,"schema:isPartOf":567},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fwevj12040250","10.3390\u002Fwevj12040250","Research on the Thermal Characteristics of an 18650 Lithium-Ion Battery Based on an Electrochemical–Thermal Flow Coupling Model",[2826,2827],"Guanchen Liu","Lijun Zhang",{"@type":87,"@id":2829,"schema:additionalType":89,"schema:identifier":2830,"schema:headline":2831,"schema:author":2832,"schema:datePublished":2759,"schema:isPartOf":567},"https:\u002F\u002Fdoi.org\u002F10.3390\u002FWEVJ12010038","10.3390\u002Fwevj12010038","State of Charge Estimation of Lithium-Ion Battery for Electric Vehicles Using Machine Learning Algorithms",[2833,2834,2835,2836,2837,2838],"Chandran Venkatesan","Chandrashekhar K. Patil","Alagar Karthick","Ganeshaperumal Dharmaraj","Robbi Rahim","Aritra Ghosh",{"@type":87,"@id":2840,"schema:additionalType":89,"schema:identifier":2841,"schema:headline":2842,"schema:author":2843,"schema:datePublished":2759,"schema:isPartOf":2846},"https:\u002F\u002Fdoi.org\u002F10.1007\u002F978-3-030-74717-6_4","10.1007\u002F978-3-030-74717-6_4","A Novel Estimation Method for the State of Charge of Lithium-Ion Battery Using Temporal Convolutional Network Under Multiple Working Conditions",[1826,2844,2845],"Jiaqi Li","Naixue N. Xiong","Lecture notes in computer science",{"@type":87,"@id":2848,"schema:additionalType":89,"schema:identifier":2849,"schema:headline":2850,"schema:author":2851,"schema:datePublished":2759,"schema:isPartOf":1819},"https:\u002F\u002Fdoi.org\u002F10.1149\u002F1945-7111\u002Fabd832","10.1149\u002F1945-7111\u002Fabd832","Applicability of Heat Generation Data in Determining the Degradation Mechanisms of Cylindrical Li-Ion Batteries",[2852,2853,2854,2855,2856,2857],"Kirill Murashko","Dongjiang Li","Dmitri L. Danilov","Peter H. L. Notten","Juha J. Pyrhonen","Jorma K. Jokiniemi",{"@type":87,"@id":2859,"schema:additionalType":89,"schema:identifier":2860,"schema:headline":2861,"schema:author":2862,"schema:datePublished":2759,"schema:isPartOf":2865},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.electacta.2021.139637","10.1016\u002Fj.electacta.2021.139637","A novel non-experiment-based reconstruction method for the relationship between open-circuit-voltage and state-of-charge\u002Fstate-of-energy of lithium-ion battery",[2863,2864],"Shuzhi Zhang","Xiongwen Zhang","Electrochimica Acta",{"@type":87,"@id":2867,"schema:additionalType":89,"schema:identifier":2868,"schema:headline":2869,"schema:author":2870,"schema:datePublished":2759,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2021.103660","10.1016\u002Fj.est.2021.103660","Estimating battery state of charge using recurrent and non-recurrent neural networks",[2654,2871,2349,2656,2743],"Pawel Malysz",{"@type":87,"@id":2873,"schema:additionalType":89,"schema:identifier":2874,"schema:headline":2875,"schema:author":2876,"schema:datePublished":2759,"schema:isPartOf":2446},"https:\u002F\u002Fdoi.org\u002F10.1002\u002Fer.7055","10.1002\u002Fer.7055","The Savitzky‐Golay filter based bidirectional long short‐term memory network for SOC estimation",[2539,222],{"@type":87,"@id":2878,"schema:additionalType":89,"schema:identifier":2879,"schema:headline":2880,"schema:author":2881,"schema:datePublished":2759,"schema:isPartOf":827},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.engappai.2021.104407","10.1016\u002Fj.engappai.2021.104407","More intelligent and robust estimation of battery state-of-charge with an improved regularized extreme learning machine",[2539,222,1843,2882],"Feng Liu",{"@type":87,"@id":2884,"schema:additionalType":89,"schema:identifier":2885,"schema:headline":2886,"schema:author":2887,"schema:datePublished":2759,"schema:isPartOf":987},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Faccess.2021.3057371","10.1109\u002Faccess.2021.3057371","State of Charge Estimation of Lithium-Ion Batteries Based on Temporal Convolutional Network and Transfer Learning",[1826,2844,2888,2889,2845],"Gong Zhang","Bin Hua",{"@type":87,"@id":2891,"schema:additionalType":89,"schema:identifier":2892,"schema:headline":2893,"schema:author":2894,"schema:datePublished":2759,"schema:isPartOf":987},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Faccess.2021.3086507","10.1109\u002Faccess.2021.3086507","State of Charge Estimation for Lithium-Ion Battery Based on NARX Recurrent Neural Network and Moving Window Method",[2895,2896,2897,2898,2899],"Qiao Wang","Hairong Gu","Min Ye","Meng Wei","Xinxin Xu",{"@type":87,"@id":2901,"schema:additionalType":89,"schema:identifier":2902,"schema:headline":2903,"schema:author":2904,"schema:datePublished":2759,"schema:isPartOf":987},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Faccess.2021.3089032","10.1109\u002Faccess.2021.3089032","A Comprehensive Review of Available Battery Datasets, RUL Prediction Approaches, and Advanced Battery Management",[2905,2906,2907,2908,2909,2910,2911,2912,2913,2914,2915,2916],"Shahid A. Hasib","Saiful Islam","Ripon Kumar Chakrabortty","Michael J. Ryan","Dip Kumar Saha","Md. Hafiz Ahamed","Sumaya Ishrat Moyeen","Sajal K. Das","Md F. Ali","M. Robiul Islam","Zinat Tasneem","Faisal Rahman Badal",{"@type":87,"@id":2918,"schema:additionalType":89,"schema:identifier":2919,"schema:headline":2920,"schema:author":2921,"schema:datePublished":2759,"schema:isPartOf":987},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Faccess.2021.3131190","10.1109\u002Faccess.2021.3131190","Bayesian Estimation of Model Parameters of Equivalent Circuit Model for Detecting Degradation Parts of Lithium-Ion Battery",[2922,2923,2924,2925,2926,2927,2928,2929],"Tamon Miyake","Tomoyuki Suzuki","Satoshi Funabashi","Namiko Saito","Mitsuhiro Kamezaki","Takahiro Shoda","Tsutomu Saigo","Shigeki Sugano",{"@type":87,"@id":2931,"schema:additionalType":89,"schema:identifier":2932,"schema:headline":2933,"schema:author":2934,"schema:datePublished":2759},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fecce47101.2021.9595030","10.1109\u002Fecce47101.2021.9595030","A Bidirectional Cell-to-Buffer Battery Equalizer at Boundary Conduction Mode with Constant On-Time Control",[2558,2556,2557],{"@type":87,"@id":2936,"schema:additionalType":89,"schema:identifier":2937,"schema:headline":2938,"schema:author":2939,"schema:datePublished":2759,"schema:isPartOf":2944},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Felma52514.2021.9503034","10.1109\u002Felma52514.2021.9503034","Statistical Approach for Designing Generic 18650 Battery Model",[2940,2941,2942,2943],"Szabolcs Kocsis Szürke","Adrienn A. Dineva","Krisztián Horváth","István Lakatos","2021 17th Conference on Electrical Machines, Drives and Power Systems (ELMA)",{"@type":87,"@id":2946,"schema:additionalType":89,"schema:identifier":2947,"schema:headline":2948,"schema:author":2949,"schema:datePublished":2759,"schema:isPartOf":2953},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficcisc52257.2021.9485023","10.1109\u002Ficcisc52257.2021.9485023","Improving Battery Calibration Measurements using Unscented Kalman Filter",[2950,2951,2078,2952],"Chalukya Bhat","Aniruddh Herle","Kali Naraharisetti","2021 International Conference on Communication, Control and Information Sciences (ICCISc)",{"@type":87,"@id":2955,"schema:additionalType":89,"schema:identifier":2956,"schema:headline":2957,"schema:author":2958,"schema:datePublished":2759},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficiea51954.2021.9516125","10.1109\u002Ficiea51954.2021.9516125","Remaining Useful Life Estimation of Battery based on MEKF",[2959,2960,2961,2962,2421,2963,2964,2965,2966],"Denggao Huang","Peng Jin","Junlin Xie","Yuehui Wang","Cheng Jung Li","Qinming Huang","Qiying Wang","Qinglie Su",{"@type":87,"@id":2968,"schema:additionalType":89,"schema:identifier":2969,"schema:headline":2970,"schema:author":2971,"schema:datePublished":2759,"schema:isPartOf":2976},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficmla52953.2021.00144","10.1109\u002Ficmla52953.2021.00144","Data-Driven State of Charge Estimation of Li-ion Batteries using Supervised Machine Learning Methods",[2972,2973,2974,2975],"Yichun Li","Mina Maleki","Shadi Banitaan","Mingzuoyang Chen","2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA)",{"@type":87,"@id":2978,"schema:additionalType":89,"schema:identifier":2979,"schema:headline":2980,"schema:author":2981,"schema:datePublished":2759},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fictis54573.2021.9798474","10.1109\u002Fictis54573.2021.9798474","Application of Electrochemical Impedance Spectroscopy in Battery Health State Estimation",[2982,2983,2984],"Haixu Yang","Jichao Hong","Xiaoming Xu",{"@type":87,"@id":2986,"schema:additionalType":89,"schema:identifier":2987,"schema:headline":2988,"schema:author":2989,"schema:datePublished":2759},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fiecon48115.2021.9589636","10.1109\u002Fiecon48115.2021.9589636","SoC Estimation Techniques for Efficient Agricultural Robots",[2628,2629,2630],{"@type":87,"@id":2991,"schema:additionalType":89,"schema:identifier":2992,"schema:headline":2993,"schema:author":2994,"schema:datePublished":2759},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fiecon48115.2021.9589854","10.1109\u002Fiecon48115.2021.9589854","A flexible Multi-Active Half-Bridge converter for active balancing of series-connected Li-Ion cells",[2995,2996],"Andrea Zilio","Paolo Mattavelli",{"@type":87,"@id":2998,"schema:additionalType":89,"schema:identifier":2999,"schema:headline":3000,"schema:author":3001,"schema:datePublished":2759},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Finduscon51756.2021.9529774","10.1109\u002Finduscon51756.2021.9529774","Data-driven state-of-charge estimation of the Panasonic 18650PF Li-ion cell using deep forward neural networks",[3002,3003,3004],"Alexandre Barbosa de Lima","Maurício B. C. Salles","José Roberto Cardoso",{"@type":87,"@id":3006,"schema:additionalType":89,"schema:identifier":3007,"schema:headline":3008,"schema:author":3009,"schema:datePublished":2759,"schema:isPartOf":3013},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fisgtasia49270.2021.9715593","10.1109\u002Fisgtasia49270.2021.9715593","A Comparative study on state of charge estimation techniques for Lithium-ion Batteries",[3010,3011,3012],"Amit Aryal","M. J. Hossain","Kaveh Rajab Khalilpour","2021 IEEE PES Innovative Smart Grid Technologies - Asia (ISGT Asia)",{"@type":87,"@id":3015,"schema:additionalType":89,"schema:identifier":3016,"schema:headline":3017,"schema:author":3018,"schema:datePublished":2759},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fitec51675.2021.9490043","10.1109\u002Fitec51675.2021.9490043","Accurate Surface Temperature Estimation of Lithium-Ion Batteries Using Feedforward and Recurrent Artificial Neural Networks",[2349,2743,2654,2656],{"@type":87,"@id":3020,"schema:additionalType":89,"schema:identifier":3021,"schema:headline":3022,"schema:author":3023,"schema:datePublished":2759,"schema:isPartOf":423},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fjsen.2021.3110296","10.1109\u002Fjsen.2021.3110296","A Low-Complexity Method for Parameter Estimation of the Simplified Randles Circuit With Experimental Verification",[656,2712,1943],{"@type":87,"@id":3025,"schema:additionalType":89,"schema:identifier":3026,"schema:headline":3027,"schema:author":3028,"schema:datePublished":2759},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fsdpc52933.2021.9563381","10.1109\u002Fsdpc52933.2021.9563381","State of Charge Estimation for Under-Sampled Battery Data Based on LSTM with Empirical Mode Decomposition and a Compensation Strategy",[2334,1889,1377,1378],{"@type":87,"@id":3030,"schema:additionalType":89,"schema:identifier":3031,"schema:headline":3032,"schema:author":3033,"schema:datePublished":2759},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fspies52282.2021.9633813","10.1109\u002Fspies52282.2021.9633813","A Novel Modularized Battery Charging and Balancing System",[3034,3035,3036,3037,3038],"Zhen Huang","Shiyan Yang","Shaochen Wang","Wei Yang","Zhao Li",{"@type":87,"@id":3040,"schema:additionalType":89,"schema:identifier":3041,"schema:headline":3042,"schema:author":3043,"schema:datePublished":2759,"schema:isPartOf":466},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftii.2021.3051048","10.1109\u002Ftii.2021.3051048","Transfer Learning-Based State of Charge Estimation for Lithium-Ion Battery at Varying Ambient Temperatures",[3044,3045,3046],"Yan Qin","Stefan N. Adams","Chau Yuen",{"@type":87,"@id":3048,"schema:additionalType":89,"schema:identifier":3049,"schema:headline":3050,"schema:author":3051,"schema:datePublished":2759,"schema:isPartOf":1142},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftim.2021.3137550","10.1109\u002Ftim.2021.3137550","A Combined Data-Model Method for State-of-Charge Estimation of Lithium-Ion Batteries",[964,2392],{"@type":87,"@id":3053,"schema:additionalType":89,"schema:identifier":3054,"schema:headline":3055,"schema:author":3056,"schema:datePublished":2759,"schema:isPartOf":2242},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftpel.2021.3102627","10.1109\u002Ftpel.2021.3102627","An LCC Based String-to-Cell Battery Equalizer with Simplified Constant Current Control",[2556,3057,2557],"Faxiang Peng",{"@type":87,"@id":3059,"schema:additionalType":89,"schema:identifier":3060,"schema:headline":3061,"schema:author":3062,"schema:datePublished":2759,"schema:isPartOf":1166},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftte.2021.3109636","10.1109\u002Ftte.2021.3109636","Data-Driven Estimation of Remaining Useful Lifetime and State of Charge for Lithium-Ion Battery",[3063,2239,2238,3064,2241],"Zhekai Du","Yu Liu",{"@type":87,"@id":3066,"schema:additionalType":89,"schema:identifier":3067,"schema:headline":3068,"schema:author":3069,"schema:datePublished":2759,"schema:isPartOf":3071},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftvt.2021.3085006","10.1109\u002Ftvt.2021.3085006","Alleviating Dynamic Model Uncertainty Effects for Improved Battery SOC Estimation of EVs in Highly Dynamic Environments",[2067,2068,2070,3070],"Fares Alkhawaja","IEEE Transactions on Vehicular Technology",{"@type":87,"@id":3073,"schema:additionalType":89,"schema:identifier":3074,"schema:headline":3075,"schema:author":3076,"schema:datePublished":2759,"schema:isPartOf":1215},"https:\u002F\u002Fdoi.org\u002F10.48550\u002Farxiv.2101.03704","10.48550\u002Farxiv.2101.03704","A Transfer Learning-based State of Charge Estimation for Lithium-Ion Battery at Varying Ambient Temperatures",[3044,3045,3046],{"@type":87,"@id":3078,"schema:additionalType":89,"schema:identifier":3079,"schema:headline":3080,"schema:author":3081,"schema:datePublished":3085,"schema:isPartOf":530},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fen13040830","10.3390\u002Fen13040830","A New Lithium-Ion Battery SOH Estimation Method Based on an Indirect Enhanced Health Indicator and Support Vector Regression in PHMs",[3082,3083,97,3084],"Zhengyu Liu","Jingjie Zhao","Chao Yang",2020,{"@type":87,"@id":3087,"schema:additionalType":89,"schema:identifier":3088,"schema:headline":3089,"schema:author":3090,"schema:datePublished":3085,"schema:isPartOf":3093},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.psep.2020.06.009","10.1016\u002Fj.psep.2020.06.009","Thermal explosion energy evaluated by thermokinetic analysis for series- and parallel-circuit NMC lithium battery modules",[3091,3092],"Yih-Wen Wang","Chieh-Yu Huang","Process Safety and Environmental Protection",{"@type":87,"@id":3095,"schema:additionalType":89,"schema:identifier":3096,"schema:headline":3097,"schema:author":3098,"schema:datePublished":3085,"schema:isPartOf":3099},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ijheatmasstransfer.2020.120330","10.1016\u002Fj.ijheatmasstransfer.2020.120330","Determination of the through-plane thermal conductivity and specific heat capacity of a Li-ion cylindrical cell",[2852,2856,2857],"International Journal of Heat and Mass Transfer",{"@type":87,"@id":3101,"schema:additionalType":89,"schema:identifier":3102,"schema:headline":3103,"schema:author":3104,"schema:datePublished":3085,"schema:isPartOf":3099},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ijheatmasstransfer.2020.120434","10.1016\u002Fj.ijheatmasstransfer.2020.120434","Numerical analysis of different fin structures in phase change material module for battery thermal management system and its optimization",[3105,3106,1476],"V.G. Choudhari","Ashwinkumar S. Dhoble",{"@type":87,"@id":3108,"schema:additionalType":89,"schema:identifier":3109,"schema:headline":3110,"schema:author":3111,"schema:datePublished":3085,"schema:isPartOf":362},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jpowsour.2020.228168","10.1016\u002Fj.jpowsour.2020.228168","Prediction of overcharge-induced serious capacity fading in nickel cobalt aluminum oxide lithium-ion batteries using electrochemical impedance spectroscopy",[3112,3113,3114,3115],"Norihiro Togasaki","Tokihiko Yokoshima","Yasumasa Oguma","Tetsuya Ōsaka",{"@type":87,"@id":3117,"schema:additionalType":89,"schema:identifier":3118,"schema:headline":3119,"schema:author":3120,"schema:datePublished":3085,"schema:isPartOf":3125},"https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs42835-020-00607-2","10.1007\u002Fs42835-020-00607-2","Nonlinear Modeling of Lithium-Ion Battery Cells for Electric Vehicles using a Hammerstein–Wiener Model",[3121,3122,3123,3124],"Jaouad Khalfi","Najib Boumaaz","Abdallah Soulmani","Еl Mеhdi Laadissi","Journal of Electrical Engineering and Technology",{"@type":87,"@id":3127,"schema:additionalType":89,"schema:identifier":3128,"schema:headline":3129,"schema:author":3130,"schema:datePublished":3085,"schema:isPartOf":487},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fbatteries6010006","10.3390\u002Fbatteries6010006","Accelerated Aging Characterization of Lithium-ion Cells: Using Sensitivity Analysis to Identify the Stress Factors Relevant to Cyclic Aging",[3131,3132,3133,3134,3135,350],"Tanja Gewald","Adrian Candussio","Leo Wildfeuer","Dirk Lehmkuhl","Alexander Hahn",{"@type":87,"@id":3137,"schema:additionalType":89,"schema:identifier":3138,"schema:headline":3139,"schema:author":3140,"schema:datePublished":3085,"schema:isPartOf":3147},"https:\u002F\u002Fdoi.org\u002F10.1007\u002F978-981-15-7945-5_31","10.1007\u002F978-981-15-7945-5_31","Model-Based Peak Power Estimation of Lithium-Ion Batteries for Electric Vehicles",[3141,3142,3143,3144,3145,1827,3146],"Xiang Shun","Zheng Ying","Munan Hong","Zhu Qian","Yazhou Guo","Bo Yang","Lecture notes in electrical engineering",{"@type":87,"@id":3149,"schema:additionalType":89,"schema:identifier":3150,"schema:headline":3151,"schema:author":3152,"schema:datePublished":3085,"schema:isPartOf":2446},"https:\u002F\u002Fdoi.org\u002F10.1002\u002Fer.5450","10.1002\u002Fer.5450","State of charge estimation in electric vehicles at various ambient temperatures",[1224,1221,3153,3154,3155],"Pengkai Zhou","Jianyao Hu","Yinghui Sai",{"@type":87,"@id":3157,"schema:additionalType":89,"schema:identifier":3158,"schema:headline":3159,"schema:author":3160,"schema:datePublished":3085,"schema:isPartOf":808},"https:\u002F\u002Fdoi.org\u002F10.1002\u002Fest2.147","10.1002\u002Fest2.147","State‐of‐charge prediction of lithium ion battery through multivariate adaptive recursive spline and principal component analysis",[2802,1805,3161,2804,3162],"Shitanshu Spare","Liang Gao",{"@type":87,"@id":3164,"schema:additionalType":89,"schema:identifier":3165,"schema:headline":3166,"schema:author":3167,"schema:datePublished":3085,"schema:isPartOf":580},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ijepes.2020.106369","10.1016\u002Fj.ijepes.2020.106369","State of charge estimation for lithium-ion battery based on Gaussian process regression with deep recurrent kernel",[3168,1896,210,3169,563],"Fei Xiao","Guorun Yang",{"@type":87,"@id":3171,"schema:additionalType":89,"schema:identifier":3172,"schema:headline":3173,"schema:author":3174,"schema:datePublished":3085,"schema:isPartOf":3183},"https:\u002F\u002Fdoi.org\u002F10.1002\u002Fbatt.202000178","10.1002\u002Fbatt.202000178","Heterogeneity of Graphite Lithiation in State‐of‐the‐Art Cylinder‐Type Li‐Ion Cells",[3175,3176,3177,3178,3179,3180,3181,3182],"Dominik Petz","Martin J. Mühlbauer","Alexander Schökel","Klaus Achterhold","Franz Pfeiffer","Thilo Pirling","M. Hofmann","Anatoliy Senyshyn","Batteries & Supercaps",{"@type":87,"@id":3185,"schema:additionalType":89,"schema:identifier":3186,"schema:headline":3187,"schema:author":3188,"schema:datePublished":3085,"schema:isPartOf":987},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Faccess.2020.2995656","10.1109\u002Faccess.2020.2995656","Long Short-Term Memory With Attention Mechanism for State of Charge Estimation of Lithium-Ion Batteries",[3189,3190],"Tadele Mamo","Fu‐Kwun Wang",{"@type":87,"@id":3192,"schema:additionalType":89,"schema:identifier":3193,"schema:headline":3194,"schema:author":3195,"schema:datePublished":3085},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fapec39645.2020.9124472","10.1109\u002Fapec39645.2020.9124472","A String-to-Cell Battery Equalizer Based on Fixed-Frequency LCC Resonant Converter",[2556,3057,2557],{"@type":87,"@id":3197,"schema:additionalType":89,"schema:identifier":3198,"schema:headline":3199,"schema:author":3200,"schema:datePublished":3085,"schema:isPartOf":3203},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fiecon43393.2020.9254918","10.1109\u002Fiecon43393.2020.9254918","A Review and Comparison of Lithium-Ion Battery SOC Estimation Methods for Electric Vehicles",[3201,3202],"Andreas Manthopoulos","Xiang Wang","IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society",{"@type":87,"@id":3205,"schema:additionalType":89,"schema:identifier":3206,"schema:headline":3207,"schema:author":3208,"schema:datePublished":3085},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Findicon49873.2020.9342315","10.1109\u002Findicon49873.2020.9342315","A Temporal Convolution Network Approach to State-of-Charge Estimation in Li-ion Batteries",[2951,2078,3209],"Dinakar Prabhu",{"@type":87,"@id":3211,"schema:additionalType":89,"schema:identifier":3212,"schema:headline":3213,"schema:author":3214,"schema:datePublished":3085},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fpesa50370.2020.9344002","10.1109\u002Fpesa50370.2020.9344002","Analysis of NARXNN for State of Charge Estimation for Li-ion Batteries on various Drive Cycles",[2951,2078,2952],{"@type":87,"@id":3216,"schema:additionalType":89,"schema:identifier":3217,"schema:headline":3218,"schema:author":3219,"schema:datePublished":3085,"schema:isPartOf":454},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftie.2020.2973886","10.1109\u002Ftie.2020.2973886","A New Kind of Balancing Circuit with Multiple Equalization Modes for Serially Connected Battery Pack",[3036,3035,3220,3221],"Wei Dong Yang","Yanlong Wang",{"@type":87,"@id":3223,"schema:additionalType":89,"schema:identifier":3224,"schema:headline":3225,"schema:author":3226,"schema:datePublished":3085,"schema:isPartOf":2242},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftpel.2020.3041876","10.1109\u002Ftpel.2020.3041876","SOC Estimation of Li-ion Batteries With Learning Rate-Optimized Deep Fully Convolutional Network",[1505,3227,1500,3228,3229,3230,3231],"Dickson N. T. How","Pin Jern Ker","Zhao Yang Dong","Mohammadreza Mansur","Frede Blaabjerg",{"@type":87,"@id":3233,"schema:additionalType":89,"schema:identifier":3234,"schema:headline":3235,"schema:author":3236,"schema:datePublished":3085,"schema:isPartOf":1166},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftte.2020.3041604","10.1109\u002Ftte.2020.3041604","Cross-Domain State-of-Charge Estimation of Li-Ion Batteries Based on Deep Transfer Neural Network With Multiscale Distribution Adaptation",[824,826,3237],"Qiang Miao",{"@type":87,"@id":3239,"schema:additionalType":89,"schema:identifier":3240,"schema:headline":3241,"schema:author":3242,"schema:datePublished":3085},"https:\u002F\u002Fdoi.org\u002F10.23919\u002Fecc51009.2020.9143757","10.23919\u002Fecc51009.2020.9143757","State of health estimation for lithium-ion batteries with dynamic time warping and deep kernel learning model",[3243,2718,3244,3245,3246,2724],"Pengchao Hu","Yong an Zhang","Cheng Cheng","Beitong Zhou",{"@type":87,"@id":3248,"schema:additionalType":89,"schema:identifier":3249,"schema:headline":3250,"schema:author":3251,"schema:datePublished":3085,"schema:isPartOf":567},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fwevj11020041","10.3390\u002Fwevj11020041","Range Extension via Electrothermal Recuperation",[3252,3253,3254,3255,350],"Matthias Steinstraeter","Marcel Lewke","Johannes Buberger","Tobias Hentrich",{"@type":87,"@id":3257,"schema:additionalType":89,"schema:identifier":3258,"schema:headline":3259,"schema:author":3260,"schema:datePublished":3085,"schema:isPartOf":1215},"https:\u002F\u002Fdoi.org\u002F10.48550\u002Farxiv.2009.09543","10.48550\u002Farxiv.2009.09543","State-of-Charge Estimation of a Li-Ion Battery using Deep Forward Neural\\n Networks",[3002,3003,3004],{"@type":87,"@id":3262,"schema:additionalType":89,"schema:identifier":3263,"schema:headline":3264,"schema:author":3265,"schema:datePublished":3085,"schema:isPartOf":1215},"https:\u002F\u002Fdoi.org\u002F10.48550\u002Farxiv.2011.09673","10.48550\u002Farxiv.2011.09673","State-of-charge Estimation of a Li-ion Battery using Deep Learning and Stochastic Optimization",[3002,3003,3004],{"@type":87,"@id":3267,"schema:additionalType":89,"schema:identifier":3268,"schema:headline":3269,"schema:author":3270,"schema:datePublished":3085,"schema:isPartOf":1215},"https:\u002F\u002Fdoi.org\u002F10.48550\u002Farxiv.2011.09775","10.48550\u002Farxiv.2011.09775","A Temporal Convolution Network Approach to State-of-Charge Estimation in\\n Li-ion Batteries",[2951,2078,3209],{"@type":87,"@id":3272,"schema:additionalType":89,"schema:identifier":3273,"schema:headline":3274,"schema:author":3275,"schema:datePublished":3085,"schema:isPartOf":1215},"https:\u002F\u002Fdoi.org\u002F10.48550\u002Farxiv.2012.10725","10.48550\u002Farxiv.2012.10725","Analysis of NARXNN for State of Charge Estimation for Li-ion Batteries\\n on various Drive Cycles",[2951,2078,2952],{"@type":87,"@id":3277,"schema:additionalType":89,"schema:identifier":3278,"schema:headline":3279,"schema:author":3280,"schema:datePublished":3288,"schema:isPartOf":101},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.applthermaleng.2019.113800","10.1016\u002Fj.applthermaleng.2019.113800","A comprehensive experimental study on temperature-dependent performance of lithium-ion battery",[3281,3282,3283,3284,3285,3286,3287],"Lu Zhao","Xiaoling Yu","Liting Wei","Feng Cao","L.Y. Zhang","Xiangzhao Meng","Liwen Jin",2019,{"@type":87,"@id":3290,"schema:additionalType":89,"schema:identifier":3291,"schema:headline":3292,"schema:author":3293,"schema:datePublished":3288,"schema:isPartOf":530},"https:\u002F\u002Fdoi.org\u002F10.3390\u002FEN12091592","10.3390\u002Fen12091592","An Approach to State of Charge Estimation of Lithium-Ion Batteries Based on Recurrent Neural Networks with Gated Recurrent Unit",[1896,3168,210],{"@type":87,"@id":3295,"schema:additionalType":89,"schema:identifier":3296,"schema:headline":3297,"schema:author":3298,"schema:datePublished":3288,"schema:isPartOf":2446},"https:\u002F\u002Fdoi.org\u002F10.1002\u002Fer.4863","10.1002\u002Fer.4863","The equivalent circuit battery model parameter sensitivity analysis for lithium‐ion batteries by Monte Carlo simulation",[1224,1221,3153,3299,3300,3301,3302],"Tiexiong Huang","Chen Xu","Mengqi Ye","Jiajin He",{"@type":87,"@id":3304,"schema:additionalType":89,"schema:identifier":3305,"schema:headline":3306,"schema:author":3307,"schema:datePublished":3288,"schema:isPartOf":790},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.energy.2019.04.126","10.1016\u002Fj.energy.2019.04.126","A multi-scale parameter adaptive method for state of charge and parameter estimation of lithium-ion batteries using dual Kalman filters",[1224,1221,3141,3153,1232,3308],"Neng Xiong",{"@type":87,"@id":3310,"schema:additionalType":89,"schema:identifier":3311,"schema:headline":3312,"schema:author":3313,"schema:datePublished":3288,"schema:isPartOf":3099},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ijheatmasstransfer.2019.118576","10.1016\u002Fj.ijheatmasstransfer.2019.118576","Experimental study on transient thermal characteristics of stagger-arranged lithium-ion battery pack with air cooling strategy",[3282,3281,3314,3315,3316,3287],"Liyu Zhang","Lichuan Wei","Xin Yu Cui",{"@type":87,"@id":3318,"schema:additionalType":89,"schema:identifier":3319,"schema:headline":3320,"schema:author":3321,"schema:datePublished":3288,"schema:isPartOf":101},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.applthermaleng.2019.114345","10.1016\u002Fj.applthermaleng.2019.114345","Numerical investigation on integrated thermal management for a lithium-ion battery module with a composite phase change material and liquid cooling",[3322,3323,3324,3325],"Zhiguo An","Xing Chen","Lin Zhao","Zhengyuan Gao",{"@type":87,"@id":3327,"schema:additionalType":89,"schema:identifier":3328,"schema:headline":3329,"schema:author":3330,"schema:datePublished":3288,"schema:isPartOf":101},"https:\u002F\u002Fdoi.org\u002F10.1016\u002FJ.APPLTHERMALENG.2019.113968","10.1016\u002Fj.applthermaleng.2019.113968","Experimental investigation of thermal performance of large-sized battery module using hybrid PCM and bottom liquid cooling configuration",[3331,3332,3333,3334],"Hengyun Zhang","Xiaoyu Wu","Qingyu Wu","Shen Xu",{"@type":87,"@id":3336,"schema:additionalType":89,"schema:identifier":3337,"schema:headline":3338,"schema:author":3339,"schema:datePublished":3288,"schema:isPartOf":3342},"https:\u002F\u002Fdoi.org\u002F10.1007\u002F978-3-030-32520-6_52","10.1007\u002F978-3-030-32520-6_52","Simulation-Based Analysis of Equalization Algorithms on Active Balancing Battery Topologies for Electric Vehicles",[2810,3340,3341,2812],"Alexander S. Hernandez","Aditya Sundararajan","Advances in intelligent systems and computing",{"@type":87,"@id":3344,"schema:additionalType":89,"schema:identifier":3345,"schema:headline":3346,"schema:author":3347,"schema:datePublished":3288,"schema:isPartOf":790},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.energy.2019.116538","10.1016\u002Fj.energy.2019.116538","Stacked bidirectional long short-term memory networks for state-of-charge estimation of lithium-ion batteries",[824,3348,826],"Huoliang He",{"@type":87,"@id":3350,"schema:additionalType":89,"schema:identifier":3351,"schema:headline":3352,"schema:author":3353,"schema:datePublished":3288,"schema:isPartOf":362},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jpowsour.2019.227558","10.1016\u002Fj.jpowsour.2019.227558","State-of-charge sequence estimation of lithium-ion battery based on bidirectional long short-term memory encoder-decoder architecture",[824,3348,826,3354],"Tingting Huang",{"@type":87,"@id":3356,"schema:additionalType":89,"schema:identifier":3357,"schema:headline":3358,"schema:author":3359,"schema:datePublished":3288,"schema:isPartOf":987},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Faccess.2019.2892394","10.1109\u002Faccess.2019.2892394","A Novel Dynamic Performance Analysis and Evaluation Model of Series-Parallel Connected Battery Pack for Electric Vehicles",[2897,3360,1949,3361],"Xun Song","Fengchun Sun",{"@type":87,"@id":3363,"schema:additionalType":89,"schema:identifier":3364,"schema:headline":3365,"schema:author":3366,"schema:datePublished":3288},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fapec.2019.8722045","10.1109\u002Fapec.2019.8722045","Wireless Power Transfer Coil Design for Transmitter and Receiver LCC Compensation based on Time-Weighted Average Efficiency",[3367,3368],"Amir Masoud Bozorgi","Mehdi Farasat",{"@type":87,"@id":3370,"schema:additionalType":89,"schema:identifier":3371,"schema:headline":3372,"schema:author":3373,"schema:datePublished":3288},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fapeec.2019.8720684","10.1109\u002Fapeec.2019.8720684","SOC Estimation Based on Modified Covariance Extended Kalman Filter for Power Batteries of Electric Vehicles",[3374,3375,3376,3377],"Jiayu Fan","Nan Chen","Ning Zhang","Jing Xia",{"@type":87,"@id":3379,"schema:additionalType":89,"schema:identifier":3380,"schema:headline":3381,"schema:author":3382,"schema:datePublished":3288},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fcac48633.2019.8996745","10.1109\u002Fcac48633.2019.8996745","State of Charge Estimation of Power Lithium Battery Based on Extended Kalman Filter",[3383,3384,3385],"Huizong Feng","Liangyan Qin","Yang Xu",{"@type":87,"@id":3387,"schema:additionalType":89,"schema:identifier":3388,"schema:headline":3389,"schema:author":3390,"schema:datePublished":3288},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fccdc.2019.8832708","10.1109\u002Fccdc.2019.8832708","Modeling and Online Parameter Identification of Lithium Battery Considering Hysteresis Characteristics",[3374,3375,3391,3377],"Weichao Zhuang",{"@type":87,"@id":3393,"schema:additionalType":89,"schema:identifier":3394,"schema:headline":3395,"schema:author":3396,"schema:datePublished":3288},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fever.2019.8813578","10.1109\u002Fever.2019.8813578","Experimental Characterization of Li-Ion Battery Resistance at the Cell, Module and Pack Level",[3133,3397,3398,3399,350],"Nikolaos Wassiliadis","Christoph Reiter","Michael Baumann",{"@type":87,"@id":3401,"schema:additionalType":89,"schema:identifier":3402,"schema:headline":3403,"schema:author":3404,"schema:datePublished":3288},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fever.2019.8813640","10.1109\u002Fever.2019.8813640","A Holistic Approach for Simulation and Evaluation of Electrical and Thermal Loads in Lithium-Ion Battery Systems",[3398,3133,3397,3405,3406,350],"Thilo Krahl","Johannes Dirnecker",{"@type":87,"@id":3408,"schema:additionalType":89,"schema:identifier":3409,"schema:headline":3410,"schema:author":3411,"schema:datePublished":3288},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficiea.2019.8833805","10.1109\u002Ficiea.2019.8833805","RUL Estimation of Lithium-Ion Power Battery Based on DEKF Algorithm",[3412,3413,2960,3414,3415,3416],"Anyuan Wang","Haitao Chen","Jun Zh. Huang","Dong Feng","Minxin Zheng",{"@type":87,"@id":3418,"schema:additionalType":89,"schema:identifier":3419,"schema:headline":3420,"schema:author":3421,"schema:datePublished":3288},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficiea.2019.8833993","10.1109\u002Ficiea.2019.8833993","Parameter Identification and Dynamic Simulation of Lithium-Ion Power Battery Based on DP Model",[3415,3414,2960,3413,3412,3416],{"@type":87,"@id":3423,"schema:additionalType":89,"schema:identifier":3424,"schema:headline":3425,"schema:author":3426,"schema:datePublished":3288},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fitaic.2019.8785770","10.1109\u002Fitaic.2019.8785770","A Recurrent Neural Network with Long Short-Term Memory for State of Charge Estimation of Lithium-ion Batteries",[1896,3168,210,3169,3427],"Weiwei Zhang",{"@type":87,"@id":3429,"schema:additionalType":89,"schema:identifier":3430,"schema:headline":3431,"schema:author":3432,"schema:datePublished":3288,"schema:isPartOf":3433},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fitec-india48457.2019.itecindia2019-188","10.1109\u002Fitec-india48457.2019.itecindia2019-188","Battery Module Performance Analysis under Varying Interconnection Topology for Electric Vehicles",[2810,2812],"2019 IEEE Transportation Electrification Conference (ITEC-India)",{"@type":87,"@id":3435,"schema:additionalType":89,"schema:identifier":3436,"schema:headline":3437,"schema:author":3438,"schema:datePublished":3288},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fitec.2019.8790543","10.1109\u002Fitec.2019.8790543","Li-ion Battery State of Charge Estimation Using Long Short-Term Memory Recurrent Neural Network with Transfer Learning",[2654,2743,3439,2656],"Ephrem Chemali",{"@type":87,"@id":3441,"schema:additionalType":89,"schema:identifier":3442,"schema:headline":3443,"schema:author":3444,"schema:datePublished":3288},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fitec.2019.8790597","10.1109\u002Fitec.2019.8790597","Comparative Study of State-Of-Charge Estimation with Recurrent Neural Networks",[3397,3445,3133,3398,350],"Thomas Herrmann",{"@type":87,"@id":3447,"schema:additionalType":89,"schema:identifier":3448,"schema:headline":3449,"schema:author":3450,"schema:datePublished":3288,"schema:isPartOf":2217},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftia.2019.2916493","10.1109\u002Ftia.2019.2916493","Analysis and Design Considerations of Efficiency Enhanced Hierarchical Battery Equalizer Based on Bipolar CCM Buck–Boost Units",[3057,2557,3451],"Liang Yu",{"@type":87,"@id":3453,"schema:additionalType":89,"schema:identifier":3454,"schema:headline":3455,"schema:author":3456,"schema:datePublished":3288,"schema:isPartOf":2242},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftpel.2019.2948040","10.1109\u002Ftpel.2019.2948040","An LLC-Based Highly Efficient S2M and C2C Hybrid Hierarchical Battery Equalizer",[3057,2557,2556],{"@type":87,"@id":3458,"schema:additionalType":89,"schema:identifier":3459,"schema:headline":3460,"schema:author":3461,"schema:datePublished":3288,"schema:isPartOf":3071},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftvt.2019.2925742","10.1109\u002Ftvt.2019.2925742","Active Battery Equalization Method Based on Redundant Battery for Electric Vehicles",[3462,3463,3464,3465],"Huakai Zhang","Yongfu Wang","Qi Han","Juan Zhang",{"@type":87,"@id":3467,"schema:additionalType":89,"schema:identifier":3468,"schema:headline":3469,"schema:author":3470,"schema:datePublished":3288},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fvppc46532.2019.8952302","10.1109\u002Fvppc46532.2019.8952302","Determination of Li-Ion Battery Degradation Mechanisms at High C-Rate Charging",[2852,2853,2854,2855,2856,2857],{"@type":87,"@id":3472,"schema:additionalType":89,"schema:identifier":3473,"schema:headline":3474,"schema:author":3475,"schema:datePublished":3476,"schema:isPartOf":362},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jpowsour.2018.09.015","10.1016\u002Fj.jpowsour.2018.09.015","A parameter adaptive method with dead zone for state of charge and parameter estimation of lithium-ion batteries",[1224,1221,1232],2018,{"@type":87,"@id":3478,"schema:additionalType":89,"schema:identifier":3479,"schema:headline":3480,"schema:author":3481,"schema:datePublished":3476,"schema:isPartOf":362},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jpowsour.2018.06.104","10.1016\u002Fj.jpowsour.2018.06.104","State-of-charge estimation of Li-ion batteries using deep neural networks: A machine learning approach",[3439,2743,1752,2656],{"@type":87,"@id":3483,"schema:additionalType":89,"schema:identifier":3484,"schema:headline":3485,"schema:author":3486,"schema:datePublished":3476,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002FJ.EST.2018.08.013","10.1016\u002Fj.est.2018.08.013","Dynamics of current distribution within battery cells connected in parallel",[3487,3488,3489,2464,3490,3491,2468],"Markus Hans Hofmann","Kevin Czyrka","Martin J. Brand","Andreas Noel","Franz B. Spingler",{"@type":87,"@id":3493,"schema:additionalType":89,"schema:identifier":3494,"schema:headline":3495,"schema:author":3496,"schema:datePublished":3476,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002FJ.EST.2018.04.031","10.1016\u002Fj.est.2018.04.031","Parameter variations within Li-Ion battery packs – Theoretical investigations and experimental quantification",[3399,3133,3497,350],"Stephan Rohr",{"@type":87,"@id":3499,"schema:additionalType":89,"schema:identifier":3500,"schema:headline":3501,"schema:author":3502,"schema:datePublished":3476,"schema:isPartOf":3099},"https:\u002F\u002Fdoi.org\u002F10.1016\u002FJ.IJHEATMASSTRANSFER.2018.06.014","10.1016\u002Fj.ijheatmasstransfer.2018.06.014","Experimental and numerical investigation of a thermal management system for a Li-ion battery pack using cutting copper fiber sintered skeleton\u002Fparaffin composite phase change materials",[3503,3504],"Minqiang Pan","Yujian Zhong",{"@type":87,"@id":3506,"schema:additionalType":89,"schema:identifier":3507,"schema:headline":3508,"schema:author":3509,"schema:datePublished":3476,"schema:isPartOf":3514},"https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41560-018-0243-8","10.1038\u002Fs41560-018-0243-8","Efficient thermal management of Li-ion batteries with a passive interfacial thermal regulator based on a shape memory alloy",[1971,3510,3511,3512,3513],"Jian Li","Saehong Park","Scott Jason Moura","Chris Dames","Nature Energy",{"@type":87,"@id":3516,"schema:additionalType":89,"schema:identifier":3517,"schema:headline":3518,"schema:author":3519,"schema:datePublished":3476,"schema:isPartOf":3523},"https:\u002F\u002Fdoi.org\u002F10.5755\u002FJ01.EIE.24.3.20975","10.5755\u002Fj01.eie.24.3.20975","CAN Communication Based Modular Type Battery Management System for Electric Vehicles",[3520,3521,3522],"Mustafa Suphi Turgut","Raif Bayır","Fecir Duran","Elektronika ir Elektrotechnika",{"@type":87,"@id":3525,"schema:additionalType":89,"schema:identifier":3526,"schema:headline":3527,"schema:author":3528,"schema:datePublished":3476,"schema:isPartOf":1819},"https:\u002F\u002Fdoi.org\u002F10.1149\u002F2.0301805jes","10.1149\u002F2.0301805jes","Direct Determination of Diffusion Coefficients in Commercial Li-Ion Batteries",[3529,3530,3531,3532,3533,3534],"Maria Angeles Cabañero","Nicola Boaretto","Manuel Röder","Jana Müller","Josef Kallo","Arnulf Latz",{"@type":87,"@id":3536,"schema:additionalType":89,"schema:identifier":3537,"schema:headline":3538,"schema:author":3539,"schema:datePublished":3476,"schema:isPartOf":3544},"https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs10973-018-7646-4","10.1007\u002Fs10973-018-7646-4","Forced-air cooling system for large-scale lithium-ion battery modules during charge and discharge processes",[3091,3540,3541,3542,3543],"Jhao-Min Jiang","Yi‐Hong Chung","Wei‐Chun Chen","Chi‐Min Shu","Journal of Thermal Analysis and Calorimetry",{"@type":87,"@id":3546,"schema:additionalType":89,"schema:identifier":3547,"schema:headline":3548,"schema:author":3549,"schema:datePublished":3476,"schema:isPartOf":530},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fen11102856","10.3390\u002Fen11102856","Coupling Analysis and Performance Study of Commercial 18650 Lithium-Ion Batteries under Conditions of Temperature and Vibration",[2827,3550,3551],"Zhongqiang Mu","Xiangyu Gao",{"@type":87,"@id":3553,"schema:additionalType":89,"schema:identifier":3554,"schema:headline":3555,"schema:author":3556,"schema:datePublished":3476,"schema:isPartOf":530},"https:\u002F\u002Fdoi.org\u002F10.3390\u002FEN11020283","10.3390\u002Fen11020283","Lithium-Ion Battery Online Rapid State-of-Power Estimation under Multiple Constraints",[3141,1221,3557,1224,3153],"Ruisen Huang",{"@type":87,"@id":3559,"schema:additionalType":89,"schema:identifier":3560,"schema:headline":3561,"schema:author":3562,"schema:datePublished":3476,"schema:isPartOf":567},"https:\u002F\u002Fdoi.org\u002F10.3390\u002FWEVJ9010008","10.3390\u002Fwevj9010008","Modelling and Evaluation of Battery Packs with Different Numbers of Paralleled Cells",[3563,3564,3399,350],"Fengqi Chang","Felix Roemer",{"@type":87,"@id":3566,"schema:additionalType":89,"schema:identifier":3567,"schema:headline":3568,"schema:author":3569,"schema:datePublished":3476,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2017.12.006","10.1016\u002Fj.est.2017.12.006","Capacity detection of internal short circuit",[3570,3571],"Tomáš Reichl","Pavel Hrzina",{"@type":87,"@id":3573,"schema:additionalType":89,"schema:identifier":3574,"schema:headline":3575,"schema:author":3576,"schema:datePublished":3476,"schema:isPartOf":1585},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ifacol.2018.10.048","10.1016\u002Fj.ifacol.2018.10.048","Preparation of Papers for IFAC Conferences & Symposia: A comparative study of remaining useful life predictions for lithium-ion battery",[1949,3577],"Jiahuan Lu",{"@type":87,"@id":3579,"schema:additionalType":89,"schema:identifier":3580,"schema:headline":3581,"schema:author":3582,"schema:datePublished":3476},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fcac.2018.8623644","10.1109\u002Fcac.2018.8623644","A Hierarchical Structure Approach of Battery Balancing Based on SOC",[3385,3583],"Tongxin Zhang",{"@type":87,"@id":3585,"schema:additionalType":89,"schema:identifier":3586,"schema:headline":3587,"schema:author":3588,"schema:datePublished":3476},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fecce.2018.8558368","10.1109\u002Fecce.2018.8558368","Lithium-ion Battery Rate-of-Degradation Modeling for Real-Time Battery Degradation Control during EV Drive Cycle",[3589,3590,3591],"Ruxiu Zhao","Robert D. Lorenz","Thomas M. Jahns",{"@type":87,"@id":3593,"schema:additionalType":89,"schema:identifier":3594,"schema:headline":3595,"schema:author":3596,"schema:datePublished":3476},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fecce.2018.8558452","10.1109\u002Fecce.2018.8558452","A Hierarchical ZVS Battery Equalizer Based on Bipolar CCM Buck-Boost Units",[3057,2557,3451],{"@type":87,"@id":3598,"schema:additionalType":89,"schema:identifier":3599,"schema:headline":3600,"schema:author":3601,"schema:datePublished":3476},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fever.2018.8362355","10.1109\u002Fever.2018.8362355","Cloud-connected battery management for decision making on second-life of electric vehicle batteries",[3399,3497,350],{"@type":87,"@id":3603,"schema:additionalType":89,"schema:identifier":3604,"schema:headline":3605,"schema:author":3606,"schema:datePublished":3476},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fitec.2018.8450197","10.1109\u002Fitec.2018.8450197","Simultaneous State and Parameter Estimation of Li-Ion Battery With One State Hysteresis Model Using Augmented Unscented Kalman Filter",[3607,3608,3609,1260,2656],"Atriya Biswas","Ran Gu","Phil Kollmeyer",{"@type":87,"@id":3611,"schema:additionalType":89,"schema:identifier":3612,"schema:headline":3613,"schema:author":3614,"schema:datePublished":3476},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fitsc.2018.8569455","10.1109\u002Fitsc.2018.8569455","Range Extension of Electric Vehicles through Improved Battery Capacity Utilization: Potentials, Risks and Strategies",[3398,3397,3133,3615,350],"Thilo Wurster",{"@type":87,"@id":3617,"schema:additionalType":89,"schema:identifier":3618,"schema:headline":3619,"schema:author":3620,"schema:datePublished":3476,"schema:isPartOf":2217},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftia.2018.2874588","10.1109\u002Ftia.2018.2874588","A Compact Methodology Via a Recurrent Neural Network for Accurate Equivalent Circuit Type Modeling of Lithium-Ion Batteries",[3589,2743,3590,3591],{"@type":87,"@id":3622,"schema:additionalType":89,"schema:identifier":3623,"schema:headline":3624,"schema:author":3625,"schema:datePublished":3476,"schema:isPartOf":454},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftie.2018.2808918","10.1109\u002Ftie.2018.2808918","Lithium-Ion Battery Remaining Useful Life Prediction With Box–Cox Transformation and Monte Carlo Simulation",[3626,1949,2591,3627],"Yongzhi Zhang","MICHAEL G. PECHT",{"@type":87,"@id":3629,"schema:additionalType":89,"schema:identifier":3630,"schema:headline":3631,"schema:author":3632,"schema:datePublished":3476,"schema:isPartOf":466},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftii.2018.2796498","10.1109\u002Ftii.2018.2796498","A Monte Carlo Simulation Approach to Evaluate Service Capacities of EV Charging and Battery Swapping Stations",[3633,3634,3635,3636,3637],"Tianyang Zhang","Xi Chen","Zhe Yu","Xiaoyan Zhu","Di Feng Shi",{"@type":87,"@id":3639,"schema:additionalType":89,"schema:identifier":3640,"schema:headline":3641,"schema:author":3642,"schema:datePublished":3476,"schema:isPartOf":3071},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftvt.2018.2805189","10.1109\u002Ftvt.2018.2805189","Long Short-Term Memory Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-Ion Batteries",[3626,1949,2591,3627],{"@type":87,"@id":3644,"schema:additionalType":89,"schema:identifier":3645,"schema:headline":3646,"schema:author":3647,"schema:datePublished":3476,"schema:isPartOf":3071},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftvt.2018.2864688","10.1109\u002Ftvt.2018.2864688","Lithium-Ion Battery Health Prognosis Based on a Real Battery Management System Used in Electric Vehicles",[1949,3626,3648,2591,3649,3627],"Ju Wang","Simin Peng",{"@type":87,"@id":3651,"schema:additionalType":89,"schema:identifier":3652,"schema:headline":3653,"schema:author":3654,"schema:datePublished":3476},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fupec.2018.8541933","10.1109\u002Fupec.2018.8541933","Hybrid battery-supercapacitor mathematical modeling for PV application using Matlab\u002FSimulink",[3655,3656,3657,3658],"Maria C. Argyrou","Paul Christodoulides","Christos C. Marouchos","Soteris A. Kalogirou",{"@type":87,"@id":3660,"schema:additionalType":89,"schema:identifier":3661,"schema:headline":3662,"schema:author":3663,"schema:datePublished":3665,"schema:isPartOf":3666},"https:\u002F\u002Fdoi.org\u002F10.1016\u002FJ.RENENE.2017.07.004","10.1016\u002Fj.renene.2017.07.004","Cutting copper fiber\u002Fparaffin composite phase change material discharging experimental study based on heat dissipation capability of Li-ion battery",[3503,3664],"Wenlin Lai",2017,"Renewable Energy",{"@type":87,"@id":3668,"schema:additionalType":89,"schema:identifier":3669,"schema:headline":3670,"schema:author":3671,"schema:datePublished":3665,"schema:isPartOf":3672},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.egypro.2017.12.642","10.1016\u002Fj.egypro.2017.12.642","Experimental investigation on the charge-discharge performance of the commercial lithium-ion batteries",[3281,3282,3314,3286,3315,3287],"Energy Procedia",{"@type":87,"@id":3674,"schema:additionalType":89,"schema:identifier":3675,"schema:headline":3676,"schema:author":3677,"schema:datePublished":3665,"schema:isPartOf":3680},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.proeng.2017.04.372","10.1016\u002Fj.proeng.2017.04.372","A Temperature-Based Peak Power Capability Estimation Method for Lithium-Ion Batteries",[3678,3376,3679,3375],"Wu-Jie Jiang","Pengcheng Li","Procedia Engineering",{"@type":87,"@id":3682,"schema:additionalType":89,"schema:identifier":3683,"schema:headline":3684,"schema:author":3685,"schema:datePublished":3665},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fecce.2017.8096879","10.1109\u002Fecce.2017.8096879","A compact unified methodology via a recurrent neural network for accurate modeling of lithium-ion battery voltage and state-of-charge",[3589,2743,3590,3591],{"@type":87,"@id":3687,"schema:additionalType":89,"schema:identifier":3688,"schema:headline":3689,"schema:author":3690,"schema:datePublished":3665},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fitec.2017.7993294","10.1109\u002Fitec.2017.7993294","Optimization through rapid meta-model based transient thermal simulation of lithium ion battery cells",[3691,3692,350],"Matthias Kerler","Hoffmann Felix",{"@type":87,"@id":3694,"schema:additionalType":89,"schema:identifier":3695,"schema:headline":3696,"schema:author":3697,"schema:datePublished":3665},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fitec.2017.7993319","10.1109\u002Fitec.2017.7993319","Li-ion battery model performance for automotive drive cycles with current pulse and EIS parameterization",[2743,3698,2656],"Andreas Hackl",{"@type":87,"@id":3700,"schema:additionalType":89,"schema:identifier":3701,"schema:headline":3702,"schema:author":3703,"schema:datePublished":3665},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fphm.2017.8079316","10.1109\u002Fphm.2017.8079316","A LSTM-RNN method for the lithuim-ion battery remaining useful life prediction",[3626,1949,2591,3704],"Zhiru Liu",{"@type":87,"@id":3706,"schema:additionalType":89,"schema:identifier":3707,"schema:headline":3708,"schema:author":3709,"schema:datePublished":3665,"schema:isPartOf":454},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftie.2017.2787586","10.1109\u002Ftie.2017.2787586","Long Short-Term Memory Networks for Accurate State-of-Charge Estimation of Li-ion Batteries",[3439,2743,1752,1260,2656],{"@type":87,"@id":3711,"schema:additionalType":89,"schema:identifier":3712,"schema:headline":3713,"schema:author":3714,"schema:datePublished":3665},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fvtcfall.2017.8288328","10.1109\u002Fvtcfall.2017.8288328","Parameter Estimation of Traction Batteries by Energy and Charge Counting during Reference Cycles",[3715,3716,3717,350],"Joern Adermann","Daniel Brecheisen","Philip Wacker",{"@type":87,"@id":3719,"schema:additionalType":89,"schema:identifier":3720,"schema:headline":3721,"schema:author":3722,"schema:datePublished":3665},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fvtcspring.2017.8108285","10.1109\u002Fvtcspring.2017.8108285","Operating Strategy of an Active Battery Switching System in Electric Vehicles",[3717,3715,3723,350,3724,3725],"Lukas Wheldon","Alireza Tashakori Abkenar","Aastha Kapoor",{"@type":87,"@id":3727,"schema:additionalType":89,"schema:identifier":3728,"schema:headline":3729,"schema:author":3730,"schema:datePublished":3733,"schema:isPartOf":2865},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.electacta.2016.12.119","10.1016\u002Fj.electacta.2016.12.119","State of charge estimation of lithium-ion batteries using an optimal adaptive gain nonlinear observer",[1377,3731,1378,3732],"Li Dong","Bizhong Xia",2016,{"@type":87,"@id":3735,"schema:additionalType":89,"schema:identifier":3736,"schema:headline":3737,"schema:author":3738,"schema:datePublished":3733},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fecce.2016.7855217","10.1109\u002Fecce.2016.7855217","Investigation of current sharing and heat dissipation in parallel-connected lithium-ion battery packs",[3739,3589,3740,3591,3741],"Yichao Zhang","Jacob Dubie","Larry W. Juang",{"@type":87,"@id":3743,"schema:additionalType":89,"schema:identifier":3744,"schema:headline":3745,"schema:author":3746,"schema:datePublished":3733},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fecce.2016.7855426","10.1109\u002Fecce.2016.7855426","Separating key less weil-known properties of drive profiles that affect lithium-ion battery aging by applying the statistical design of experiments",[3589,3590,3591,3741],{"@type":87,"@id":3748,"schema:additionalType":89,"schema:identifier":3749,"schema:headline":3750,"schema:author":3751,"schema:datePublished":3733},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fwow.2016.7772089","10.1109\u002Fwow.2016.7772089","A comparative study of state-of-charge estimation algorithms for lithium-ion batteries in wireless charging electric vehicles",[1377,3752,1378,3732],"Dong Li",{"@type":87,"@id":3754,"schema:additionalType":3755,"schema:identifier":3756,"schema:headline":3757,"schema:author":3758,"schema:datePublished":100,"schema:isPartOf":808},"https:\u002F\u002Fdoi.org\u002F10.1002\u002Fest2.70496","REFERENCED","10.1002\u002Fest2.70496","Evaluation of Automotive Battery Modules Using a Coupled Numerical Model With Hybrid Passive–Active Thermal Management",[3759,3760],"Tejas Kalvankar","Gadale Amba Prasad Rao",{"@type":87,"@id":3762,"schema:additionalType":3755,"schema:identifier":3763,"schema:headline":3764,"schema:author":3765,"schema:datePublished":100,"schema:isPartOf":3768},"https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs12667-025-00775-y","10.1007\u002Fs12667-025-00775-y","Data-Driven Battery Capacity Estimation in Electric Vehicles: Insights from Large-Scale Real-World Data",[3766,3767],"Stijn van den Hoven","Nevena; id_orcid 0000-0002-9910-5886 Ranković","Energy Systems",{"@type":87,"@id":3770,"schema:additionalType":3755,"schema:identifier":3771,"schema:headline":3772,"schema:author":3773,"schema:datePublished":100,"schema:isPartOf":1798},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.egyr.2025.12.052","10.1016\u002Fj.egyr.2025.12.052","Review of thermal management strategies for cylindrical lithium-ion batteries: Active, passive, and hybrid approaches",[3774,3775],"Bandar Al Osaimi","Hafız Muhammad Ali",{"@type":87,"@id":3777,"schema:additionalType":3755,"schema:identifier":3778,"schema:headline":3779,"schema:author":3780,"schema:datePublished":100,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2026.120976","10.1016\u002Fj.est.2026.120976","State-of-X estimation for lithium-ion batteries in electric vehicles: A comprehensive review of methods, challenges, and emerging trends",[3781,3782,3783,3784,3785,3786,3787],"AL-Wesabi Ibrahim","Abdullrahman A. Al-Shamma’a","Hassan M. Hussein Farh","Zhenglu Shi","Prof. Dr. Haitham Abu-Rub","Hossam Kotb","Saad Mekhilef",{"@type":87,"@id":3789,"schema:additionalType":3755,"schema:identifier":3790,"schema:headline":3791,"schema:author":3792,"schema:datePublished":100,"schema:isPartOf":3795},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.geits.2026.100406","10.1016\u002Fj.geits.2026.100406","Triply Periodic Minimal Surface (TPMS) architectures for advanced battery thermal management systems in EVs: Manufacturing, integration, and future prospects",[3793,3794],"Faisal Iqbal","Muhammad Sajid","Green Energy and Intelligent Transportation",{"@type":87,"@id":3797,"schema:additionalType":3755,"schema:identifier":3798,"schema:headline":3799,"schema:author":3800,"schema:datePublished":100},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Faide69088.2026.11544441","10.1109\u002Faide69088.2026.11544441","An accurate and computationally efficient SOC estimation in EV batteries using enhanced Deep Neural Networks",[3801,3802,3803,3804],"Tejaswini S","Chandrashekar M Patil","U Parvitha","Manya Ashvitha M",{"@type":87,"@id":3806,"schema:additionalType":3755,"schema:identifier":3807,"schema:headline":3808,"schema:author":3809,"schema:datePublished":100},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fapec51134.2026.11516796","10.1109\u002Fapec51134.2026.11516796","A Machine Learning based Approach of Estimating Equivalent Circuit Model Parameters at Different SoCs of Li-ion Batteries from Voltage Relaxation",[3810,3811,3812],"Md. Samiul Islam Sagar","Md Nahid Islam","Jaber A. Abu Qahouq",{"@type":87,"@id":3814,"schema:additionalType":3755,"schema:identifier":3815,"schema:headline":3816,"schema:author":3817,"schema:datePublished":100,"schema:isPartOf":3821},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fieeedata.2026.3697177","10.1109\u002Fieeedata.2026.3697177","Descriptor: University of Rhode Island Photovoltaic Battery Energy Storage SOC Tracking Dataset (URI-PBEST)",[3818,3819,3820],"Showrov Rahman","Kaushallya Adhikari","Kaan Icer","IEEE data descriptions.",{"@type":87,"@id":3823,"schema:additionalType":3755,"schema:identifier":3824,"schema:headline":3825,"schema:author":3826,"schema:datePublished":100,"schema:isPartOf":1153},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftits.2026.3669704","10.1109\u002Ftits.2026.3669704","5G-Enabled Cyber-Physical Infrastructure for Intelligent Automotive Battery Management",[3827,3828,3829,3830,3831,3832],"Eduardo Hidalgo Fort","Pedro Blanco-Carmona","Manuel Martín-Romero","Antonio Torralba","F. Muñoz","R.G. Carvajal",{"@type":87,"@id":3834,"schema:additionalType":3755,"schema:identifier":3835,"schema:headline":3836,"schema:author":3837,"schema:datePublished":100,"schema:isPartOf":487},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fbatteries12020050","10.3390\u002Fbatteries12020050","Accurate State of Charge Estimation for Lithium-Ion Batteries Using a Temporal Convolutional Network and Bidirectional Long Short-Term Memory Hybrid Model",[3838,3839,3840,3841],"Jie Qiu","Zhendong Zhang","Zehua Zhu","Chenqiang Luo",{"@type":87,"@id":3843,"schema:additionalType":3755,"schema:identifier":3844,"schema:headline":3845,"schema:author":3846,"schema:datePublished":100,"schema:isPartOf":530},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fen19020414","10.3390\u002Fen19020414","U-H-Mamba: An Uncertainty-Aware Hierarchical State-Space Model for Lithium-Ion Battery Remaining Useful Life Prediction Using Hybrid Laboratory and Real-World Datasets",[3847,3848,3849,599,3850],"Zhihong Wen","Xiangpeng Liu","Wenshu Niu","Yuhua Cheng",{"@type":87,"@id":3852,"schema:additionalType":3755,"schema:identifier":3853,"schema:headline":3854,"schema:author":3855,"schema:datePublished":100,"schema:isPartOf":538},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fmath14111879","10.3390\u002Fmath14111879","Trustworthy Machine Learning and Mathematical Modelling for Lithium-Ion Battery State-of-Health Estimation",[3856,3857,3858],"Muhammad Sohail","Mohad Tanveer","H S Kim",{"@type":87,"@id":3860,"schema:additionalType":3755,"schema:identifier":3861,"schema:headline":3862,"schema:author":3863,"schema:datePublished":579,"schema:isPartOf":639},"https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11581-025-06415-w","10.1007\u002Fs11581-025-06415-w","Lithium-ion batteries SOE estimation via SSA-optimized transformer coupled with extended Kalman filter",[3864,3865,3866,3867,3868],"Yikun Li","Jinghan Bai","Linqi Zhu","Lu Lv","Lujun Wang",{"@type":87,"@id":3870,"schema:additionalType":3755,"schema:identifier":3871,"schema:headline":3872,"schema:author":3873,"schema:datePublished":579,"schema:isPartOf":101},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.applthermaleng.2025.128579","10.1016\u002Fj.applthermaleng.2025.128579","Thermal performance of phase change material integrated prismatic heat sinks for electric vehicle batteries: experimental and neuro-fuzzy analysis",[3874,3875,3876,3877],"S. Babu Sanker","B. Girinath","V.V. Darshana","Rajesh Baby",{"@type":87,"@id":3879,"schema:additionalType":3755,"schema:identifier":3880,"schema:headline":3881,"schema:author":3882,"schema:datePublished":579,"schema:isPartOf":3885},"https:\u002F\u002Fdoi.org\u002F10.1002\u002Fbte2.20240064","10.1002\u002Fbte2.20240064","Investigation of the Power System Including PV, Super Capacitor and Lithium‐Ion Storage Technologies Under BLDC Motor Load",[3883,3884],"Zeynep Tüfek","Emrah Çetin","Battery energy",{"@type":87,"@id":3887,"schema:additionalType":3755,"schema:identifier":3888,"schema:headline":3889,"schema:author":3890,"schema:datePublished":579,"schema:isPartOf":3147},"https:\u002F\u002Fdoi.org\u002F10.1007\u002F978-981-96-3560-3_2","10.1007\u002F978-981-96-3560-3_2","Design of a Smart Airbag Recovery System Controller for UUV Application",[3891],"Hengyang Zhao",{"@type":87,"@id":3893,"schema:additionalType":3755,"schema:identifier":3894,"schema:headline":3895,"schema:author":3896,"schema:datePublished":579,"schema:isPartOf":477},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fapp15158164","10.3390\u002Fapp15158164","A Unified Machine Learning Framework for Li-Ion Battery State Estimation and Prediction",[2611,2613,2612,2614],{"@type":87,"@id":3898,"schema:additionalType":3755,"schema:identifier":3899,"schema:headline":3900,"schema:author":3901,"schema:datePublished":579,"schema:isPartOf":101},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.applthermaleng.2025.125625","10.1016\u002Fj.applthermaleng.2025.125625","Enhancing battery cooling and temperature uniformity with longitudinal airflow and fin configurations",[3902,3903],"Ali S. Alzwayi","Manosh C. Paul",{"@type":87,"@id":3905,"schema:additionalType":3755,"schema:identifier":3906,"schema:headline":3907,"schema:author":3908,"schema:datePublished":579,"schema:isPartOf":567},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fwevj16110594","10.3390\u002Fwevj16110594","Machine Learning Techniques for Battery State of Health Prediction: A Comparative Review",[3909,3910,3911],"Leila Mbagaya","Kumeshan Reddy","Annelize Botes",{"@type":87,"@id":3913,"schema:additionalType":3755,"schema:identifier":3914,"schema:headline":3915,"schema:author":3916,"schema:datePublished":579,"schema:isPartOf":477},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fapp15095078","10.3390\u002Fapp15095078","Explainable Artificial Intelligence for State of Charge Estimation of Lithium-Ion Batteries",[3917,3918,3919,3920,3921,3922,3923,3924],"Ho Tung Jeremy Chan","Jelena Rubeša-Zrim","Franz Pichler","Amil Salihi","Adam Mourad","Ilija Šimić","Kristina Časni","Eduardo Enrique Veas",{"@type":87,"@id":3926,"schema:additionalType":3755,"schema:identifier":3927,"schema:headline":3928,"schema:author":3929,"schema:datePublished":579,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2025.115584","10.1016\u002Fj.est.2025.115584","A technical review on controlling the Li-ion battery temperature through composite phase change materials and hybrid cooling techniques",[3930,3931,3932],"Mohamed Shamnaz P.T.","Dharmendra Kumar Bal","Bibhuti Bhusan Sahoo",{"@type":87,"@id":3934,"schema:additionalType":3755,"schema:identifier":3935,"schema:headline":3936,"schema:author":3937,"schema:datePublished":579,"schema:isPartOf":3948},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ijthermalsci.2025.110013","10.1016\u002Fj.ijthermalsci.2025.110013","Smart hybrid thermal management: Bridging innovation for sustainable electric and hybrid vehicles",[3938,3939,3940,3941,3942,3943,3944,3945,3946,3947],"Hussein Togun","Ali Basem","Muhsin J. Jweeg","Hayder Ibrahim Mohammed","Azher M. Abed","Ali Eisa M. Anqi","Dinesh Kumar Madheswaran","Husam Abdulrasool Hasan","A.K. Chattopadhyay","Pouyan Talebizadehsardari","International Journal of Thermal Sciences",{"@type":87,"@id":3950,"schema:additionalType":3755,"schema:identifier":3951,"schema:headline":3952,"schema:author":3953,"schema:datePublished":579,"schema:isPartOf":987},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Faccess.2025.3591970","10.1109\u002Faccess.2025.3591970","State of Charge Estimation in Li-Ion Batteries Using a Parallel LSTM-Based Approach: The Impact of Modeling Based on Operating States",[3954,1064],"Osman Ozer",{"@type":87,"@id":3956,"schema:additionalType":3755,"schema:identifier":3957,"schema:headline":3958,"schema:author":3959,"schema:datePublished":579,"schema:isPartOf":987},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Faccess.2025.3615885","10.1109\u002Faccess.2025.3615885","Two-Stage Genetic Algorithm Offline Parameter Optimization of Adaptive Extended Kalman Filter for Robust Battery State-Of-Charge Estimation",[3960,3961,3962,3963,3964,3965,2743,1260],"Lucas Nahidmobarakeh","Mina Nemetiandoost","Batuhan Sirri Yilmaz","Javier Gazzarri","Xiangchun Zhang","Sebastián Arias Alfaro",{"@type":87,"@id":3967,"schema:additionalType":3755,"schema:identifier":3968,"schema:headline":3969,"schema:author":3970,"schema:datePublished":579},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fcodit66093.2025.11321681","10.1109\u002Fcodit66093.2025.11321681","Estimation of Lithium-Ion Battery State of Charge and Health Using LSTM Networks",[3971,3972,3973,3974],"Nahed Ghanay","Abdelmoudjib Benterki","Moussa Boukhnifer","Achraf Jabeur Telmoudi",{"@type":87,"@id":3976,"schema:additionalType":3755,"schema:identifier":3977,"schema:headline":3978,"schema:author":3979,"schema:datePublished":579},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fi-pact65952.2025.11307954","10.1109\u002Fi-pact65952.2025.11307954","FPGA based Hardware Accelerator with Edge Intelligence for Electric Scooter Battery Health Monitoring",[3980,3981,3982,3983],"Amruthavarshini R C","K Athira","Swarnima Verma","Sujatha Rajkumar",{"@type":87,"@id":3985,"schema:additionalType":3755,"schema:identifier":3986,"schema:headline":3987,"schema:author":3988,"schema:datePublished":579},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficaaid68975.2025.11358288","10.1109\u002Ficaaid68975.2025.11358288","State-of-Charge Estimation of Lithium-Ion Batteries Using a Fuzzy C-Regression Model (FCRM) Approach",[3971,3973,3972,3974],{"@type":87,"@id":3990,"schema:additionalType":3755,"schema:identifier":3991,"schema:headline":3992,"schema:author":3993,"schema:datePublished":579},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficcsc66714.2025.11135292","10.1109\u002Ficcsc66714.2025.11135292","Machine Learning-Based Estimation of State of Charge and State of Health in Lithium-Ion Batteries for Electric Vehicles",[3994,3995],"Oussama Fadlaoui","Noureedine Masaif",{"@type":87,"@id":3997,"schema:additionalType":3755,"schema:identifier":3998,"schema:headline":3999,"schema:author":4000,"schema:datePublished":579},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficetac65964.2025.11144279","10.1109\u002Ficetac65964.2025.11144279","AI-Driven Prognostics for State of Health Prediction in Li-ion Batteries: A Comprehensive Analysis with Validation",[4001,4002,4003,4004,4005],"Tianqi Ding","Dawei Xiang","Tianyao Sun","Yijiashun Qi","Zunduo Zhao",{"@type":87,"@id":4007,"schema:additionalType":3755,"schema:identifier":4008,"schema:headline":4009,"schema:author":4010,"schema:datePublished":579},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fickecs65700.2025.11035125","10.1109\u002Fickecs65700.2025.11035125","Estimation of Battery Remaining Useful Life (RUL) Using AI Techniques",[4011,4012,4013],"S. M. Jaanaki","J. Ramprabhakar","Kaliyaperumal Deepa",{"@type":87,"@id":4015,"schema:additionalType":3755,"schema:identifier":4016,"schema:headline":4017,"schema:author":4018,"schema:datePublished":579},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Findiscon66021.2025.11252241","10.1109\u002Findiscon66021.2025.11252241","A Unified EKF Framework for SOC and Parameter Estimation in NCR type Lithium-Ion Batteries: Modeling and Comparison with Coulomb Counting",[4019,4020,4021,4022,4023,4024],"Haimavatinandan Pati","Anup Ashish Dash","Ayush Kumar Sahu","Shaarav Ghose","Mainak Biswas","Arnab Ghosh",{"@type":87,"@id":4026,"schema:additionalType":3755,"schema:identifier":4027,"schema:headline":4028,"schema:author":4029,"schema:datePublished":579},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fpesgm52009.2025.11225510","10.1109\u002Fpesgm52009.2025.11225510","Impact of State of Charge on Lithium-Ion Battery Degradation During Storage at Subzero Temperature",[4030,4031,1705,3627],"Hayder M. Ali","Hassan Abbas Khan",{"@type":87,"@id":4033,"schema:additionalType":3755,"schema:identifier":4034,"schema:headline":4035,"schema:author":4036,"schema:datePublished":579},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fstpec66316.2025.11490257","10.1109\u002Fstpec66316.2025.11490257","MachineLearning - Based State of Charge Estimation for Li-Ion Batteries and Validation by Historical Data and Synthetic Data",[796,4037,798,4038,4039,4040],"V S Kale","Om Rameshwar Kharat","Girish Mittal","T S R Nrusimha Murali Manohar",{"@type":87,"@id":4042,"schema:additionalType":3755,"schema:identifier":4043,"schema:headline":4044,"schema:author":4045,"schema:datePublished":579},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fstpec66316.2025.11490719","10.1109\u002Fstpec66316.2025.11490719","A Novel Dissipativity-Based Observer for State of Charge Estimation in Lithium-Ion Electric Vehicle Batteries: An Experimental Approach",[439,438],{"@type":87,"@id":4047,"schema:additionalType":3755,"schema:identifier":4048,"schema:headline":4049,"schema:author":4050,"schema:datePublished":579},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fstpec66316.2025.11490810","10.1109\u002Fstpec66316.2025.11490810","Development of a Real-Time Battery Monitoring System for SoC Estimation Using Arduino",[4051,4040,796,4037,4038,4039],"Sumit A. Dudhe",{"@type":87,"@id":4053,"schema:additionalType":3755,"schema:identifier":4054,"schema:headline":4055,"schema:author":4056,"schema:datePublished":579,"schema:isPartOf":1166},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftte.2025.3582631","10.1109\u002Ftte.2025.3582631","Adaptive State of Power Estimation Using Fuzzy Logic Real Driving Patterns Recognition Based on Error-Effort Tradeoff",[4057,4058],"Amin Najafi","Masoud Masih‐Tehrani",{"@type":87,"@id":4060,"schema:additionalType":3755,"schema:identifier":4061,"schema:headline":4062,"schema:author":4063,"schema:datePublished":579,"schema:isPartOf":4066},"https:\u002F\u002Fdoi.org\u002F10.23919\u002Fjsee.2025.000125","10.23919\u002Fjsee.2025.000125","State of Charge Estimation for Lithium Battery Based on Grey Kalman Filter Model",[4064,4065],"Zhicun Xu","Naiming Xie","Journal of Systems Engineering and Electronics",{"@type":87,"@id":4068,"schema:additionalType":3755,"schema:identifier":4069,"schema:headline":4070,"schema:author":4071,"schema:datePublished":579,"schema:isPartOf":487},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fbatteries11010032","10.3390\u002Fbatteries11010032","State of Charge and State of Health Estimation in Electric Vehicles: Challenges, Approaches and Future Directions",[4072,4073,4074,4075],"Babatunde Soyoye","Indranil Bhattacharya","Mary Vinolisha Antony Dhason","Trapa Banik",{"@type":87,"@id":4077,"schema:additionalType":3755,"schema:identifier":4078,"schema:headline":4079,"schema:author":4080,"schema:datePublished":579,"schema:isPartOf":567},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fwevj16020087","10.3390\u002Fwevj16020087","Review of State-of-Charge Estimation Methods for Electric Vehicle Applications",[4081,4082,4083],"Miguel Antonio Pisani Orta","David García Elvira","Hugo Valderrama‐Blavi",{"@type":87,"@id":4085,"schema:additionalType":3755,"schema:identifier":4086,"schema:headline":3999,"schema:author":4087,"schema:datePublished":579,"schema:isPartOf":1215},"https:\u002F\u002Fdoi.org\u002F10.48550\u002Farxiv.2504.05728","10.48550\u002Farxiv.2504.05728",[4001,4002,4088,4089,4090],"Sun, Tianyao","Qi, YiJiashum","Zhao, Zunduo",{"@type":87,"@id":4092,"schema:additionalType":3755,"schema:identifier":4093,"schema:headline":4094,"schema:author":4095,"schema:datePublished":579,"schema:isPartOf":1215},"https:\u002F\u002Fdoi.org\u002F10.48550\u002Farxiv.2510.27369","10.48550\u002Farxiv.2510.27369","From the Rock Floor to the Cloud: A Systematic Survey of State-of-the-Art NLP in Battery Life Cycle",[4096,4097,4098,4099,4100,4101,4102,4103],"Tosin Adewumi","Martin H. Karlsson","Marcus Liwicki","Mikael Sjödahl","Lama Alkhaled","Rihab Gargouri","Nudrat Habib","Franz Hennie",{"@type":87,"@id":4105,"schema:additionalType":3755,"schema:identifier":4106,"schema:headline":4107,"schema:author":4108,"schema:datePublished":1252,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2024.111227","10.1016\u002Fj.est.2024.111227","Hybrid battery thermal management systems based on phase transition processes: A comprehensive review",[4109,4110,4111,4112,4113,4114,4115],"Javad Ranjbar Kermani","Mahmoud Mahlouji Taheri","Hossein Pakzad","Mikaeel Minaei","Mohamad Ali Bijarchi","Ali N. Moosavi","Mohammad Behshad Shafii",{"@type":87,"@id":4117,"schema:additionalType":3755,"schema:identifier":4118,"schema:headline":4119,"schema:author":4120,"schema:datePublished":1252,"schema:isPartOf":4126},"https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41597-024-03859-z","10.1038\u002Fs41597-024-03859-z","A multi-stage lithium-ion battery aging dataset using various experimental design methodologies",[4121,4122,4123,4124,2467,4125],"Florian Stroebl","Ronny Petersohn","Barbara Schricker","Florian Schaeufl","Herbert Palm","Scientific Data",{"@type":87,"@id":4128,"schema:additionalType":3755,"schema:identifier":4129,"schema:headline":4130,"schema:author":4131,"schema:datePublished":1252,"schema:isPartOf":487},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fbatteries10060198","10.3390\u002Fbatteries10060198","State-of-Charge Estimation of Lithium-Ion Battery Based on Convolutional Neural Network Combined with Unscented Kalman Filter",[1160,1163,1162,1159,4132,4133],"Guoquan Liu","Min Zhu",{"@type":87,"@id":4135,"schema:additionalType":3755,"schema:identifier":4136,"schema:headline":4137,"schema:author":4138,"schema:datePublished":1252,"schema:isPartOf":4146},"https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11280-024-01318-8","10.1007\u002Fs11280-024-01318-8","Research on the impact of lithium battery ageing cycles on a data-driven lithium battery model",[4139,4140,4141,4142,4143,4144,4145],"Haobin Cao","Guixiang Zhu","Huanhuan Chen","Zilong Su","Ruizhe Chen","Hongda An","Chen Wang","World Wide Web",{"@type":87,"@id":4148,"schema:additionalType":3755,"schema:identifier":4149,"schema:headline":4150,"schema:author":4151,"schema:datePublished":1252,"schema:isPartOf":567},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fwevj15040131","10.3390\u002Fwevj15040131","A Review of Lithium-Ion Battery State of Charge Estimation Methods Based on Machine Learning",[4152,4153,4154],"Feng Zhao","Yun Rui Guo","Baoming Chen",{"@type":87,"@id":4156,"schema:additionalType":3755,"schema:identifier":4157,"schema:headline":4158,"schema:author":4159,"schema:datePublished":1252,"schema:isPartOf":393},"https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41598-024-66997-9","10.1038\u002Fs41598-024-66997-9","Enhanced SOC estimation of lithium ion batteries with RealTime data using machine learning algorithms",[4160,4161,4162,4163,4164,4165],"Obuli Pranav D","Preethem S. Babu","Vairavasundaram Indragandhi","B. Ashok","S. Vedhanayaki","C. Kavitha",{"@type":87,"@id":4167,"schema:additionalType":3755,"schema:identifier":4168,"schema:headline":4169,"schema:author":4170,"schema:datePublished":1252,"schema:isPartOf":530},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fen17163976","10.3390\u002Fen17163976","TransRUL: A Transformer-Based Multihead Attention Model for Enhanced Prediction of Battery Remaining Useful Life",[2085,4171,4172,2086,4173,4174,4175],"Wenjie Liu","Saleem Riaz","Ghulam Amjad Hussain","Zeeshan Rashid","Zeeshan Ahmad Arfeen",{"@type":87,"@id":4177,"schema:additionalType":3755,"schema:identifier":4178,"schema:headline":4179,"schema:author":4180,"schema:datePublished":1252,"schema:isPartOf":1432},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.csite.2024.105246","10.1016\u002Fj.csite.2024.105246","Predicting temperature of a Li-ion battery under dynamic current using long short-term memory",[4181,4182,4183,4184,4185,4186],"Jihye Han","Junyong Seo","Jihoon Kim","Y. S. Koo","Miran Ryu","Bong Jae Lee",{"@type":87,"@id":4188,"schema:additionalType":3755,"schema:identifier":4189,"schema:headline":4190,"schema:author":4191,"schema:datePublished":1252,"schema:isPartOf":1798},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.egyr.2024.04.039","10.1016\u002Fj.egyr.2024.04.039","Recent advancement of remaining useful life prediction of lithium-ion battery in electric vehicle applications: A review of modelling mechanisms, network configurations, factors, and outstanding issues",[4192,4193,1502,3228,4194,1505],"Md. Selim Reza","Musfika Mannan","T.M.I. Mahlia",{"@type":87,"@id":4196,"schema:additionalType":3755,"schema:identifier":4197,"schema:headline":4198,"schema:author":4199,"schema:datePublished":1252,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2024.110752","10.1016\u002Fj.est.2024.110752","Analysis of Li-ion battery under high discharge rate embedded with metal foam phase change composite: A numerical study",[4200,4201,4202,4203,4204],"Vivek Saxena","Akhalesh Sharma","Rohit C. Kothari","Santosh Kumar Sahu","Shailesh  Ishwarlal Kundalwal",{"@type":87,"@id":4206,"schema:additionalType":3755,"schema:identifier":4207,"schema:headline":4208,"schema:author":4209,"schema:datePublished":1252,"schema:isPartOf":1423},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsu16114755","10.3390\u002Fsu16114755","Optimizing Lithium-Ion Battery Performance: Integrating Machine Learning and Explainable AI for Enhanced Energy Management",[4210,4211,4212,4213,4214],"Saadin Oyucu","Betül Ersöz","Şeref Sağıroğlu","Ahmet Aksöz","Emre Biçer",{"@type":87,"@id":4216,"schema:additionalType":3755,"schema:identifier":4217,"schema:headline":4218,"schema:author":4219,"schema:datePublished":1252,"schema:isPartOf":3514},"https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41560-024-01620-9","10.1038\u002Fs41560-024-01620-9","Multi-year field measurements of home storage systems and their use in capacity estimation",[4220,4221,4222,4223,4224,4225,4226,4227,4228,4229,4230],"Jan Figgener","Jonas van Ouwerkerk","David Haberschusz","Jakob Bors","Philipp Woerner","Marc Mennekes","Felix Emil Arthur Hildenbrand","Christopher Hecht","Kai-Philipp Kairies","Oliver Wessels","Dirk Uwe Sauer",{"@type":87,"@id":4232,"schema:additionalType":3755,"schema:identifier":4233,"schema:headline":4234,"schema:author":4235,"schema:datePublished":1252,"schema:isPartOf":1277},"https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00202-024-02917-4","10.1007\u002Fs00202-024-02917-4","Deep learning and data augmentation for robust battery state of charge estimation in electric vehicles",[4236,3124,4237,4238],"Anass Еlachhab","Abdеlhakim Tabinе","Abdеlowahеd Hajjaji",{"@type":87,"@id":4240,"schema:additionalType":3755,"schema:identifier":4241,"schema:headline":4242,"schema:author":4243,"schema:datePublished":1252,"schema:isPartOf":362},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jpowsour.2024.234272","10.1016\u002Fj.jpowsour.2024.234272","Machine learning for battery systems applications: Progress, challenges, and opportunities",[4244,4245],"Zahra Nozarijouybari","Hosam K. Fathy",{"@type":87,"@id":4247,"schema:additionalType":3755,"schema:identifier":4248,"schema:headline":4249,"schema:author":4250,"schema:datePublished":1252,"schema:isPartOf":987},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Faccess.2024.3441517","10.1109\u002Faccess.2024.3441517","Toward an Intelligent Diagnosis and Prognostic Health Management System for Autonomous Electric Vehicle Powertrains: A Novel Distributed Intelligent Digital Twin-Based Architecture",[4251,4252,4253,4254,4255,4256],"Hicham El Hadraoui","Nada Ouahabi","Nabil El Bazi","Oussama Laayati","Mourad Zegrari","Ahmed Chebak",{"@type":87,"@id":4258,"schema:additionalType":3755,"schema:identifier":4259,"schema:headline":4260,"schema:author":4261,"schema:datePublished":1252},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fainit61980.2024.10581659","10.1109\u002Fainit61980.2024.10581659","Hammerstein-SOC Model Based on the Principle of Hierarchical Identification Considering Temperature",[4262,4263,222],"Haiyang Hu","Xianyun Yue",{"@type":87,"@id":4265,"schema:additionalType":3755,"schema:identifier":4266,"schema:headline":4267,"schema:author":4268,"schema:datePublished":1252},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficeeict61591.2024.10718483","10.1109\u002Ficeeict61591.2024.10718483","Prediction of State of Charge in Electric Vehicle Lithium-ion Batteries using Deep Learning",[4269,4270],"R. Sugashini","S. P. Mangaiyarkarasi",{"@type":87,"@id":4272,"schema:additionalType":3755,"schema:identifier":4273,"schema:headline":4274,"schema:author":4275,"schema:datePublished":1252},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficepe63236.2024.10668901","10.1109\u002Ficepe63236.2024.10668901","Optimal Parameter Extraction and Performance Evaluation of Equivalent Circuit Models for Lithium-ion batteries under Dynamic Conditions",[4276,1092,1094],"M.K. Mazumder",{"@type":87,"@id":4278,"schema:additionalType":3755,"schema:identifier":4279,"schema:headline":4280,"schema:author":4281,"schema:datePublished":1252,"schema:isPartOf":4287},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fjestie.2024.3514606","10.1109\u002Fjestie.2024.3514606","A Novel State of Charge Estimation Algorithm for Lithium-Ion Battery Using Recurrent Equilibrium Network",[4282,4283,97,4284,4285,4286],"Chengyan Zheng","Wendong Feng","Herbert Ho‐Ching Iu","Tyrone Lucius Fernando","Xinan Zhang","IEEE Journal of Emerging and Selected Topics in Industrial Electronics",{"@type":87,"@id":4289,"schema:additionalType":3755,"schema:identifier":4290,"schema:headline":4291,"schema:author":4292,"schema:datePublished":1252,"schema:isPartOf":2242},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftpel.2024.3424267","10.1109\u002Ftpel.2024.3424267","Real-Time Sensorless Temperature Estimation of Lithium-Ion Batteries Based on Online Operando Impedance Acquisition",[2274,2275,4293,4294,4295,4296,2277,2278],"Jia Guo","Nicolai André Weinreich","Abhijit Kulkarni","Ahsan Nadeem",{"@type":87,"@id":4298,"schema:additionalType":3755,"schema:identifier":4299,"schema:headline":4300,"schema:author":4301,"schema:datePublished":1252,"schema:isPartOf":1423},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fsu16146042","10.3390\u002Fsu16146042","A Survey on Anomalies and Faults That May Impact the Reliability of Renewable-Based Power Systems",[4302,4303,4304,4305,4306,4307,4308,4309],"Valerio Mariani","Giovanna Adinolfi","Amedeo Buonanno","Roberto Ciavarella","Antonio Ricca","Vincenzo Sorrentino","Giorgio Graditi","Maria Valenti",{"@type":87,"@id":4311,"schema:additionalType":3755,"schema:identifier":4312,"schema:headline":4313,"schema:author":4314,"schema:datePublished":1252,"schema:isPartOf":1215},"https:\u002F\u002Fdoi.org\u002F10.48550\u002Farxiv.2404.07577","10.48550\u002Farxiv.2404.07577","Generating Comprehensive Lithium Battery Charging Data with Generative AI",[4315,4316,4317,4318,4319,4320],"Lidang Jiang","Changyan Hu","Sibei Ji","Hang Zhao","Junxiong Chen","Ge He",{"@type":87,"@id":4322,"schema:additionalType":3755,"schema:identifier":4323,"schema:headline":4324,"schema:author":4325,"schema:datePublished":1789,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2023.108098","10.1016\u002Fj.est.2023.108098","An ASTSEKF optimizer with nonlinear condition adaptability for accurate SOC estimation of lithium-ion batteries",[1285,1284,4326,4327,4328,682],"Hongying Zhang","Huan Li","Xiao Q. Yang",{"@type":87,"@id":4330,"schema:additionalType":3755,"schema:identifier":4331,"schema:headline":4332,"schema:author":4333,"schema:datePublished":1789,"schema:isPartOf":4343},"https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs12541-023-00832-5","10.1007\u002Fs12541-023-00832-5","Data-Driven Methods for Predicting the State of Health, State of Charge, and Remaining Useful Life of Li-Ion Batteries: A Comprehensive Review",[4334,4335,4336,4337,4338,4339,4340,4341,4342],"Eunsong Kim","Minseon Kim","Juo Kim","Joonchul Kim","Junghwan Park","Kyoung‐Tak Kim","Joung‐Hu Park","Taesic Kim","Kyoungmin Min","International Journal of Precision Engineering and Manufacturing",{"@type":87,"@id":4345,"schema:additionalType":3755,"schema:identifier":4346,"schema:headline":4347,"schema:author":4348,"schema:datePublished":1789,"schema:isPartOf":521},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Felectronics12061478","10.3390\u002Felectronics12061478","Parameter Identification of Li-ion Batteries: A Comparative Study",[4349,4350,4351],"Shahenda M. Abdelhafiz","Mohammed E. Fouda","Ahmed Gomaa Radwan",{"@type":87,"@id":4353,"schema:additionalType":3755,"schema:identifier":4354,"schema:headline":4355,"schema:author":4356,"schema:datePublished":1789,"schema:isPartOf":3147},"https:\u002F\u002Fdoi.org\u002F10.1007\u002F978-981-19-6223-3_57","10.1007\u002F978-981-19-6223-3_57","NARX Black-Box Modeling of a Lithium-Ion Battery Cell Based on Automotive Drive Cycles Measurements",[3121,3122,3123,4357,4358,3124],"Sara Laafar","Asmaa Maali",{"@type":87,"@id":4360,"schema:additionalType":3755,"schema:identifier":4361,"schema:headline":4362,"schema:author":4363,"schema:datePublished":1789,"schema:isPartOf":530},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fen16031194","10.3390\u002Fen16031194","Improved Digital Twin of Li-Ion Battery Based on Generic MATLAB Model",[4364,4365,4366,4367,4368],"Juraj Biľanský","Milan Lacko","Marek Pástor","Adrián Marcinek","František Ďurovský",{"@type":87,"@id":4370,"schema:additionalType":3755,"schema:identifier":4371,"schema:headline":4372,"schema:author":4373,"schema:datePublished":1789,"schema:isPartOf":4379},"https:\u002F\u002Fdoi.org\u002F10.1002\u002Fente.202300790","10.1002\u002Fente.202300790","Experimental Study on the Thermal Management Performance of Lithium‐Ion Battery Using Phase‐Change Material at Various Ambient Temperatures",[4374,4375,4376,4377,4378],"He Liu","Guoqing Shi","Jie Mei","Qing Li","Zhi Wang","Energy Technology",{"@type":87,"@id":4381,"schema:additionalType":3755,"schema:identifier":4382,"schema:headline":4383,"schema:author":4384,"schema:datePublished":1789,"schema:isPartOf":4391},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.rser.2023.114191","10.1016\u002Fj.rser.2023.114191","Challenges and opportunities for second-life batteries: Key technologies and economy",[4385,4386,4387,4388,3391,4389,2276,4390],"Xubo Gu","Hanyu Bai","Xiaofan Cui","Juner Zhu","Zhaojian Li","Ziyou Song","Renewable and Sustainable Energy Reviews",{"@type":87,"@id":4393,"schema:additionalType":3755,"schema:identifier":4394,"schema:headline":4395,"schema:author":4396,"schema:datePublished":1789,"schema:isPartOf":2061},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.trpro.2023.11.001","10.1016\u002Fj.trpro.2023.11.001","Degradation Abatement in Hybrid Electric Vehicles using Data-Driven Technique",[1674,4397,4398,4399,1680,1681,1682],"Phuong H. Hoang","Ali Arsalan","Bill R. Badr",{"@type":87,"@id":4401,"schema:additionalType":3755,"schema:identifier":4402,"schema:headline":4403,"schema:author":4404,"schema:datePublished":1789,"schema:isPartOf":987},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Faccess.2023.3271287","10.1109\u002Faccess.2023.3271287","Battery Degradation in Electric and Hybrid Electric Vehicles: A Survey Study",[1674,4405,4397,1680,1681,1682],"Payam Ramezani Badr",{"@type":87,"@id":4407,"schema:additionalType":3755,"schema:identifier":4408,"schema:headline":4409,"schema:author":4410,"schema:datePublished":1789,"schema:isPartOf":987},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Faccess.2023.3301989","10.1109\u002Faccess.2023.3301989","A Comprehensive Review of Research Hotspots on Battery Management Systems for UAVs",[4411,4412,4413,4414],"Shiqin Jiao","Guiyang Zhang","Mei Zhou","Guoqi Li",{"@type":87,"@id":4416,"schema:additionalType":3755,"schema:identifier":4417,"schema:headline":4418,"schema:author":4419,"schema:datePublished":1789},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fapec43580.2023.10131605","10.1109\u002Fapec43580.2023.10131605","Overview of Machine Learning-Enabled Battery State Estimation Methods",[4420,2749,2557],"Yingjian Zhuge",{"@type":87,"@id":4422,"schema:additionalType":3755,"schema:identifier":4423,"schema:headline":4424,"schema:author":4425,"schema:datePublished":1789},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fdasc58513.2023.10311254","10.1109\u002Fdasc58513.2023.10311254","Trajectory-Based State-of-Charge Prediction Using LSTM Recurrent Neural Networks",[4426],"Adan Vela",{"@type":87,"@id":4428,"schema:additionalType":3755,"schema:identifier":4429,"schema:headline":4430,"schema:author":4431,"schema:datePublished":1789},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fesars-itec57127.2023.10114867","10.1109\u002Fesars-itec57127.2023.10114867","Battery Thermal Management Systems: A Case Study on Li-NMC storage systems for electric vehicles",[4432,4433,4434,4435,4436],"Clemente Capasso","Luigi Iannucci","Stanislao Patalano","Ottorino Veneri","Ferdinando Vitolo",{"@type":87,"@id":4438,"schema:additionalType":3755,"schema:identifier":4439,"schema:headline":4440,"schema:author":4441,"schema:datePublished":1789},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficeca58529.2023.10395268","10.1109\u002Ficeca58529.2023.10395268","Machine Learning Algorithms for Estimation of State-of-Charge of Li-Ion Batteries",[4442,4443,4444,4445,4446,4447],"B. Pushpavanam","T. Akilan","S. Tara Kalyani","C. Swedheetha","Palanichamy Naveen","Palanivel Manikandan",{"@type":87,"@id":4449,"schema:additionalType":3755,"schema:identifier":4450,"schema:headline":4451,"schema:author":4452,"schema:datePublished":1789},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fistm58889.2023.10454954","10.1109\u002Fistm58889.2023.10454954","AI-Driven Battery State-of-Charge Estimation using Electrochemical Impedance Spectroscopy",[1043,1044,1048,1047,1045],{"@type":87,"@id":4454,"schema:additionalType":3755,"schema:identifier":4455,"schema:headline":4456,"schema:author":4457,"schema:datePublished":1789},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fitec55900.2023.10187024","10.1109\u002Fitec55900.2023.10187024","Online Electrochemical Impedance Spectroscopy Estimation of Lithium-Ion Batteries using a Deep Learning Framework",[4458,4459,4460,4461,4462],"Min Jae Jung","Yi Xu","Hyun Jun Jang","Woosung Kim","Sang‐Gug Lee",{"@type":87,"@id":4464,"schema:additionalType":3755,"schema:identifier":4465,"schema:headline":4466,"schema:author":4467,"schema:datePublished":1789},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fitec55900.2023.10187063","10.1109\u002Fitec55900.2023.10187063","Improved State-of-Charge and Voltage estimation of a Lithium-ion battery based on Adaptive Extended Kalman Filter",[4468,4469],"Naga Prudhvi Velivela","Arijit Guha",{"@type":87,"@id":4471,"schema:additionalType":3755,"schema:identifier":4472,"schema:headline":4473,"schema:author":4474,"schema:datePublished":1789},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fmetroautomotive57488.2023.10219121","10.1109\u002Fmetroautomotive57488.2023.10219121","Machine learning and impedance spectroscopy for battery state of charge evaluation",[728,4475,732,733],"Roberto Ferrero",{"@type":87,"@id":4477,"schema:additionalType":3755,"schema:identifier":4478,"schema:headline":4479,"schema:author":4480,"schema:datePublished":1789,"schema:isPartOf":2217},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftia.2023.3265359","10.1109\u002Ftia.2023.3265359","A Deep Learning Approach Towards Generating High-Fidelity Diverse Synthetic Battery Datasets",[2078,2076,2079],{"@type":87,"@id":4482,"schema:additionalType":3755,"schema:identifier":4483,"schema:headline":4484,"schema:author":4485,"schema:datePublished":1789,"schema:isPartOf":454},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftie.2023.3292865","10.1109\u002Ftie.2023.3292865","State-of-Charge Estimation and Health Prognosis for Lithium-Ion Batteries Based on Temperature-Compensated Bi-LSTM Network and Integrated Attention Mechanism",[4486,4487,4488,4489],"Peihang Xu","Chengchao Wang","Jinlu Ye","Tiancheng Ouyang",{"@type":87,"@id":4491,"schema:additionalType":3755,"schema:identifier":4492,"schema:headline":4493,"schema:author":4494,"schema:datePublished":1789,"schema:isPartOf":2242},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftpel.2023.3265278","10.1109\u002Ftpel.2023.3265278","Power Electronics-Based Safety Enhancement Technologies for Lithium-Ion Batteries: An Overview From Battery Management Perspective",[2187,1440,4495,4284,4496,3231],"Zhengyou He","Pooya Davari",{"@type":87,"@id":4498,"schema:additionalType":3755,"schema:identifier":4499,"schema:headline":4500,"schema:author":4501,"schema:datePublished":1789,"schema:isPartOf":1166},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftte.2023.3291501","10.1109\u002Ftte.2023.3291501","Joint Estimation of State of Charge and State of Energy of Lithium-Ion Batteries Based on Optimized Bidirectional Gated Recurrent Neural Network",[1159,1161,1162,1163,4502,4503],"Zhiqiang Zhang","Lin Yong",{"@type":87,"@id":4505,"schema:additionalType":3755,"schema:identifier":4506,"schema:headline":4507,"schema:author":4508,"schema:datePublished":1789,"schema:isPartOf":3071},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftvt.2023.3242269","10.1109\u002Ftvt.2023.3242269","A Combined DNN-NBEATS Architecture for State of Charge Estimation of Lithium-Ion Batteries in Electric Vehicles",[4509,4510,4511,4512],"M Kannan","Kinattingal Sundareswaran","P. Srinivasa Rao Nayak","Sishaj P. Simon",{"@type":87,"@id":4514,"schema:additionalType":3755,"schema:identifier":4515,"schema:headline":4516,"schema:author":4517,"schema:datePublished":1789,"schema:isPartOf":487},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fbatteries9070339","10.3390\u002Fbatteries9070339","Systematic Approach for the Test Data Generation and Validation of ISC\u002FESC Detection Methods",[4518,4519,4520,4521,4522,4523],"Jacob Klink","Jens Grabow","Nury Orazov","Ralf Benger","Ines Hauer","Hans-Peter Beck",{"@type":87,"@id":4525,"schema:additionalType":3755,"schema:identifier":4526,"schema:headline":4527,"schema:author":4528,"schema:datePublished":1789,"schema:isPartOf":487},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fbatteries9070364","10.3390\u002Fbatteries9070364","Model-Based State-of-Charge and State-of-Health Estimation Algorithms Utilizing a New Free Lithium-Ion Battery Cell Dataset for Benchmarking Purposes",[4529,759],"Steven Neupert",{"@type":87,"@id":4531,"schema:additionalType":3755,"schema:identifier":4532,"schema:headline":4533,"schema:author":4534,"schema:datePublished":1789,"schema:isPartOf":487},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fbatteries9070385","10.3390\u002Fbatteries9070385","Lithium–Ion Battery Data: From Production to Prediction",[4535,4536,4537],"Marwan Hassini","Eduardo Redondo-Iglesias","Pascal Venet",{"@type":87,"@id":4539,"schema:additionalType":3755,"schema:identifier":4540,"schema:headline":4541,"schema:author":4542,"schema:datePublished":1789,"schema:isPartOf":530},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fen16062745","10.3390\u002Fen16062745","Latent Heat Storage Systems for Thermal Management of Electric Vehicle Batteries: Thermal Performance Enhancement and Modulation of the Phase Transition Process Dynamics: A Literature Review",[4543,4544,4545,4546,4547,4548,4549],"Bogdan Diaconu","Mihai Cruceru","Lucica Anghelescu","Cristinel Racoceanu","Cristinel Popescu","Marian Ionescu","Adriana Tudorache",{"@type":87,"@id":4551,"schema:additionalType":3755,"schema:identifier":4552,"schema:headline":4553,"schema:author":4554,"schema:datePublished":1789,"schema:isPartOf":1215},"https:\u002F\u002Fdoi.org\u002F10.48550\u002Farxiv.2308.06786","10.48550\u002Farxiv.2308.06786","Challenges and Opportunities for Second-life Batteries: A Review of Key Technologies and Economy",[4385,4386,4387,4388,3391,4389,4555,4390],"Hu, Xiaosong",{"@type":87,"@id":4557,"schema:additionalType":3755,"schema:identifier":4558,"schema:headline":4559,"schema:author":4560,"schema:datePublished":1789,"schema:isPartOf":1215},"https:\u002F\u002Fdoi.org\u002F10.48550\u002Farxiv.2309.10631","10.48550\u002Farxiv.2309.10631","Battery-Electric Powertrain System Design for the HorizonUAM Multirotor Air Taxi Concept",[4561,4562,4563,4564,4565,4566],"Florian Jäger","Oliver Bertram","Sascha M. Lübbe","Alexander H. Bismark","Jan Rosenberg","Lukas Bartscht",{"@type":87,"@id":4568,"schema:additionalType":3755,"schema:identifier":4569,"schema:headline":4570,"schema:author":4571,"schema:datePublished":2372,"schema:isPartOf":101},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.applthermaleng.2022.118293","10.1016\u002Fj.applthermaleng.2022.118293","Numerical study of PCM thermal behavior of a novel PCM-heat pipe combined system for Li-ion battery thermal management",[4572,4573,4574],"Peng Peng","Yiwei Wang","Fangming Jiang",{"@type":87,"@id":4576,"schema:additionalType":3755,"schema:identifier":4577,"schema:headline":4578,"schema:author":4579,"schema:datePublished":2372,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2022.105384","10.1016\u002Fj.est.2022.105384","Artificial Neural Networks, Gradient Boosting and Support Vector Machines for electric vehicle battery state estimation: A review",[4580,4581,4582,4583],"Aaruththiran Manoharan","Mumtaj Begam","Vimal Rau Aparow","Denesh Sooriamoorthy",{"@type":87,"@id":4585,"schema:additionalType":3755,"schema:identifier":4586,"schema:headline":4587,"schema:author":4588,"schema:datePublished":2372,"schema:isPartOf":808},"https:\u002F\u002Fdoi.org\u002F10.1002\u002Fest2.354","10.1002\u002Fest2.354","An attention‐based synthetic battery data augmentation technique to overcome limited dataset challenges",[2078,2076,2295,2077,2079],{"@type":87,"@id":4590,"schema:additionalType":3755,"schema:identifier":4591,"schema:headline":4592,"schema:author":4593,"schema:datePublished":2372,"schema:isPartOf":530},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fen15218003","10.3390\u002Fen15218003","State of Charge Estimation for Electric Vehicle Battery Management Systems Using the Hybrid Recurrent Learning Approach with Explainable Artificial Intelligence",[4594,4595,4596,4597,4598],"Saleh Mohammed Shahriar","Erphan Ahmmad Bhuiyan","Md. Nahiduzzaman","Mominul Ahsan","Julfikar Haider",{"@type":87,"@id":4600,"schema:additionalType":3755,"schema:identifier":4601,"schema:headline":4602,"schema:author":4603,"schema:datePublished":2372,"schema:isPartOf":4608},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fmachines10100912","10.3390\u002Fmachines10100912","Deep Learning in the State of Charge Estimation for Li-Ion Batteries of Electric Vehicles: A Review",[4604,4605,4606,4607],"Dawei Zhang","Chen Zhong","Peijuan Xu","Yiyang Tian","Machines",{"@type":87,"@id":4610,"schema:additionalType":3755,"schema:identifier":4611,"schema:headline":4612,"schema:author":4613,"schema:datePublished":2372,"schema:isPartOf":2446},"https:\u002F\u002Fdoi.org\u002F10.1002\u002Fer.7806","10.1002\u002Fer.7806","A real time state of charge estimation using Harris Hawks optimization‐based filtering approach for electric vehicle power batteries",[334,689],{"@type":87,"@id":4615,"schema:additionalType":3755,"schema:identifier":4616,"schema:headline":4617,"schema:author":4618,"schema:datePublished":2372,"schema:isPartOf":161},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2022.105752","10.1016\u002Fj.est.2022.105752","Deep learning enabled state of charge, state of health and remaining useful life estimation for smart battery management system: Methods, implementations, issues and prospects",[1500,1503,4619,1504,4620,4621,1505,4622,4623],"Md. Sazal Miah","Kamrul Hasan","ASM Shihavuddin","Kashem Mohammad Muttaqi","Aini Hussain",{"@type":87,"@id":4625,"schema:additionalType":3755,"schema:identifier":4626,"schema:headline":4627,"schema:author":4628,"schema:datePublished":2372,"schema:isPartOf":4633},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficeict55736.2022.9908987","10.1109\u002Ficeict55736.2022.9908987","Robust State of Charge Estimation via KMPE Loss based Extreme Machine Learning",[1917,4629,4630,4631,4632],"Quan Sun","Liang Chen","Di Mu","Rui Liu","2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT)",{"@type":87,"@id":4635,"schema:additionalType":3755,"schema:identifier":4636,"schema:headline":4637,"schema:author":4638,"schema:datePublished":2372},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fisse54508.2022.10005507","10.1109\u002Fisse54508.2022.10005507","Design and Implementation of a Low Cost System for Accurate Impedance Spectroscopy",[4639,4640,4641,4642],"Alessio De Angelis","Francesco Santoni","Antonio Moschitta","Paolo Carbone",{"@type":87,"@id":4644,"schema:additionalType":3755,"schema:identifier":4645,"schema:headline":4646,"schema:author":4647,"schema:datePublished":2372,"schema:isPartOf":4652},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fmetroxraine54828.2022.9967611","10.1109\u002Fmetroxraine54828.2022.9967611","Automated test equipment for battery characterization: a proposal",[4648,4649,4650,4651],"Silvia Colnago","Marco Faifer","Emil Petkovski","Luigi Piegari","2022 IEEE International Conference on Metrology for Extended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)",{"@type":87,"@id":4654,"schema:additionalType":3755,"schema:identifier":4655,"schema:headline":4656,"schema:author":4657,"schema:datePublished":2372},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fpedes56012.2022.10080110","10.1109\u002Fpedes56012.2022.10080110","Combined SoC and SoE Estimation of Lithium-ion Battery using Multi-layer Feedforward Neural Network",[4658,4659,4660,2804,1714],"Sakshi Sharma","Pankaj Dilip Achlerkar","Prashant Shrivastava",{"@type":87,"@id":4662,"schema:additionalType":3755,"schema:identifier":4663,"schema:headline":4664,"schema:author":4665,"schema:datePublished":2372,"schema:isPartOf":530},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fen15134670","10.3390\u002Fen15134670","Lithium Battery State-of-Charge Estimation Based on a Bayesian Optimization Bidirectional Long Short-Term Memory Neural Network",[4666,4667,4668],"Biao Yang","Yinshuang Wang","Yuedong Zhan",{"@type":87,"@id":4670,"schema:additionalType":3755,"schema:identifier":4671,"schema:headline":4672,"schema:author":4673,"schema:datePublished":2372,"schema:isPartOf":530},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fen16010023","10.3390\u002Fen16010023","Intelligent SOX Estimation for Automotive Battery Management Systems: State-of-the-Art Deep Learning Approaches, Open Issues, and Future Research Opportunities",[1500,4674,1503,4619,4675,1504,4676,4677],"Tahia Fahrin Karim","Md. 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Mi",{"@type":87,"@id":4743,"schema:additionalType":3755,"schema:identifier":4744,"schema:headline":4745,"schema:author":4746,"schema:datePublished":2759,"schema:isPartOf":2953},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficcisc52257.2021.9484866","10.1109\u002Ficcisc52257.2021.9484866","An Accurate Smartphone Battery Parameter Calibration Using Unscented Kalman Filter",[2950,2951,2078,2952],{"@type":87,"@id":4748,"schema:additionalType":3755,"schema:identifier":4749,"schema:headline":4750,"schema:author":4751,"schema:datePublished":2759},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficepe50861.2021.9404537","10.1109\u002Ficepe50861.2021.9404537","Residual Error Modelling based Hybrid Wavelet-ConvLSTM Deep Learning Model to Estimate SOC of EV Batteries",[4752,4753,4754],"Utkarsh Kumar","Sukumar Mishra","Sreedhar 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Jenkins",{"@type":87,"@id":4770,"schema:additionalType":3755,"schema:identifier":4771,"schema:headline":4772,"schema:author":4773,"schema:datePublished":2759,"schema:isPartOf":4775},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fmysurucon52639.2021.9641530","10.1109\u002Fmysurucon52639.2021.9641530","Devising High Fidelity Synthetic Data using Generative Adversarial Networks for Energy Storage Systems",[4703,4774,2078,4702,4701],"Neha Sara John","2021 IEEE Mysore Sub Section International Conference (MysuruCon)",{"@type":87,"@id":4777,"schema:additionalType":3755,"schema:identifier":4778,"schema:headline":4779,"schema:author":4780,"schema:datePublished":2759,"schema:isPartOf":4781},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fpowerafrica52236.2021.9543237","10.1109\u002Fpowerafrica52236.2021.9543237","Solving Limited Data Challenges in Battery Parameter Estimators by Using Generative Adversarial Networks",[4701,2078,4703,4774,2951],"2021 IEEE PES\u002FIAS PowerAfrica",{"@type":87,"@id":4783,"schema:additionalType":3755,"schema:identifier":4784,"schema:headline":4785,"schema:author":4786,"schema:datePublished":2759,"schema:isPartOf":3071},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftvt.2021.3064287","10.1109\u002Ftvt.2021.3064287","Estimating State of Charge for xEV Batteries Using 1D Convolutional Neural Networks and Transfer Learning",[4787,4788,4753,4789],"Arnab Bhattacharjee","Ashu Kumar Verma","Tapan Kumar Saha",{"@type":87,"@id":4791,"schema:additionalType":3755,"schema:identifier":4792,"schema:headline":4793,"schema:author":4794,"schema:datePublished":3085,"schema:isPartOf":987},"https:\u002F\u002Fdoi.org\u002F10.1109\u002FACCESS.2020.2980961","10.1109\u002Faccess.2020.2980961","Machine Learning Applied to Electrified Vehicle Battery State of Charge and State of Health Estimation: 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Anders","Dawei Gao",{"@type":87,"@id":4830,"schema:additionalType":4831,"schema:identifier":4832,"schema:headline":4833,"schema:author":4834,"schema:datePublished":579,"schema:isPartOf":530},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fen18133436","UNCLEAR","10.3390\u002Fen18133436","Optimization and Estimation of the State of Charge of Lithium-Ion Batteries for Electric Vehicles",[4835,4836],"Luc Vivien Assiene Mouodo","Petros J. Axaopoulos",{"@type":87,"@id":4838,"schema:additionalType":4831,"schema:identifier":4839,"schema:headline":4840,"schema:author":4841,"schema:datePublished":1252,"schema:isPartOf":721},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fpr12112389","10.3390\u002Fpr12112389","Partial Discharge Method for State-of-Health Estimation Validated by Real-Time Simulation",[4842,1627,4843,1629],"E. Camargo","Ciro-Alberto Núñez-Gutiérrez",{"@type":87,"@id":4845,"schema:additionalType":4831,"schema:identifier":4846,"schema:headline":4847,"schema:author":4848,"schema:datePublished":1252,"schema:isPartOf":639},"https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11581-024-05498-1","10.1007\u002Fs11581-024-05498-1","Accelerated proximal gradient algorithm for lithium-ion battery state of charge estimation with outliers",[4849,4850,4851,1787],"Xixi Ji","Zili Zhang","Yawen Mao",{"@type":87,"@id":4853,"schema:additionalType":4831,"schema:identifier":4854,"schema:headline":4855,"schema:author":4856,"schema:datePublished":1252},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Felticom64085.2024.10864777","10.1109\u002Felticom64085.2024.10864777","Battery Management System on Competition Electric Car",[4857,4858,4859],"Muhammad Safril","Syafruddin Hasan","Michael Dennis Jordan Siburian",{"@type":87,"@id":4861,"schema:additionalType":4831,"schema:identifier":4862,"schema:headline":4863,"schema:author":4864,"schema:datePublished":1789,"schema:isPartOf":3147},"https:\u002F\u002Fdoi.org\u002F10.1007\u002F978-981-99-1027-4_40","10.1007\u002F978-981-99-1027-4_40","Analysis of Pulse and Alternating Current Low Temperature Charging Based on Optimal Charging Frequency",[4865,4866,1858,1859],"Tingting Xu","Xiaorui Hu",{"@type":87,"@id":4868,"schema:additionalType":4831,"schema:identifier":4869,"schema:headline":4870,"schema:author":4871,"schema:datePublished":3085,"schema:isPartOf":639},"https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11581-020-03716-0","10.1007\u002Fs11581-020-03716-0","The multi-innovation extended Kalman filter algorithm for battery SOC estimation",[4872,1843,222,4873],"Wenqian Li","Shengqiang Yin",{"@type":4875,"schema:name":4876},"schema:Person","Philipp Dechent","1.0","2026-09-27",1790617785484]