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and Durable: A Cell‐to‐System Validation of a Low‐Degradation Fast‐Charge Protocol for Li‐Ion Batteries",[95,96,97,98,99,100,101,102,103,104,105],"Marco Lagnoni","Francesco Giuseppe Quilici","Davide Cademartori","Claudio Scarpelli","Uways Nurulain Mithoowani","Federica Barontini","Alessandro Ruvio","Monica Puccini","Giovanni Lutzemberger","Maria Paola Carpanese","Antonio Bertei",2026,"Advanced Science",{"@type":89,"@id":109,"schema:additionalType":91,"schema:identifier":110,"schema:headline":111,"schema:author":112,"schema:datePublished":106,"schema:isPartOf":118},"https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11581-026-07256-x","10.1007\u002Fs11581-026-07256-x","A novel long short-term memory-adaptive feedback-correction gain extended Kalman filter for the high-precision state-of-charge estimation of lithium-ion batteries",[113,114,115,116,117],"Emmanuel Appiah","Shunli Wang","Paul Takyi‐Aninakwa","Etse Dablu Bobobee","Ebenezer Koukoyi","Ionics",{"@type":89,"@id":120,"schema:additionalType":91,"schema:identifier":121,"schema:headline":122,"schema:author":123,"schema:datePublished":106,"schema:isPartOf":118},"https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11581-026-07303-7","10.1007\u002Fs11581-026-07303-7","An algorithm based on Artificial Protozoa Optimizer and generalized correntropy-improved adaptive genetic particle filter for the state of charge estimation of lithium-ion batteries",[124,125,126,127],"Jinyang Lin","Guizhao Li","Tian Yi Gao","Shuhua Lu",{"@type":89,"@id":129,"schema:additionalType":91,"schema:identifier":130,"schema:headline":131,"schema:author":132,"schema:datePublished":106,"schema:isPartOf":139},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.apenergy.2026.127758","10.1016\u002Fj.apenergy.2026.127758","Physics-informed SOC estimation without explicit parameter identification via a dual-system error modeling framework",[133,134,135,136,137,138],"Mu Zhang","Libin Zhang","Yiduo Li","Yibing Zhao","Haiyan Lu","Chaoying Liu","Applied Energy",{"@type":89,"@id":141,"schema:additionalType":91,"schema:identifier":142,"schema:headline":143,"schema:author":144,"schema:datePublished":106,"schema:isPartOf":139},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.apenergy.2026.128357","10.1016\u002Fj.apenergy.2026.128357","A physics-guided neural network with battery constraint mechanism for state-of-energy estimation of lithium-ion batteries",[145,146],"Kai Jia","Linhui Zhao",{"@type":89,"@id":148,"schema:additionalType":91,"schema:identifier":149,"schema:headline":150,"schema:author":151,"schema:datePublished":106,"schema:isPartOf":156},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.electacta.2026.149594","10.1016\u002Fj.electacta.2026.149594","Multi-strategy enhanced chaotic evolutionary optimization (MECEO) algorithm for parameter estimation of fractional-order model of lithium-ion battery",[152,153,154,155],"Anhong Tian","Sanxing Chen","Chengbiao Fu","Huaiping Jin","Electrochimica Acta",{"@type":89,"@id":158,"schema:additionalType":91,"schema:identifier":159,"schema:headline":160,"schema:author":161,"schema:datePublished":106,"schema:isPartOf":167},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.energy.2026.142118","10.1016\u002Fj.energy.2026.142118","High precision state-of-charge estimation framework based on extended long short-term memory network under dynamic vehicle-to-grid conditions",[162,163,164,165,166],"Faiz Majeed","Dania Batool","Sein Oh","Jongbok Baek","Jonghoon Kim","Energy",{"@type":89,"@id":169,"schema:additionalType":91,"schema:identifier":170,"schema:headline":171,"schema:author":172,"schema:datePublished":106,"schema:isPartOf":178},"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",[173,174,175,176,177],"Honggang Xie","Xinxin Yi","Jinyang Huang","Shaole Ru","Wei Xiong","Electric Power Systems Research",{"@type":89,"@id":180,"schema:additionalType":91,"schema:identifier":181,"schema:headline":182,"schema:author":183,"schema:datePublished":106,"schema:isPartOf":187},"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",[184,185,186],"Zhonghua Yun","Wenhu Qin","Chao Wu","Journal of Energy Storage",{"@type":89,"@id":189,"schema:additionalType":91,"schema:identifier":190,"schema:headline":191,"schema:author":192,"schema:datePublished":106,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2025.120307","10.1016\u002Fj.est.2025.120307","Multi-method fusion estimation of state of charge for Li-ion batteries based on model-data dual-driven approach",[193,194,195,196,197],"Guangwei Wan","Qiang Zhang","Xiuyong Shi","Menghan Li","Haiyan Xu",{"@type":89,"@id":199,"schema:additionalType":91,"schema:identifier":200,"schema:headline":201,"schema:author":202,"schema:datePublished":106,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2026.120581","10.1016\u002Fj.est.2026.120581","A Bayesian optimized broad learning system integrated with deep neural network for state of charge estimation in lithium-ion batteries",[203,204,205,206],"Lin. Zhu","Jie Ding","Sai Wang","Yanyun Cheng",{"@type":89,"@id":208,"schema:additionalType":91,"schema:identifier":209,"schema:headline":210,"schema:author":211,"schema:datePublished":106,"schema:isPartOf":187},"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",[212,213,214],"Rui Yang","Ángel F. García-Fernández","Che–Rung Lee",{"@type":89,"@id":216,"schema:additionalType":91,"schema:identifier":217,"schema:headline":218,"schema:author":219,"schema:datePublished":106,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2026.121032","10.1016\u002Fj.est.2026.121032","Co-estimation of state of charge and parameters for lithium-ion batteries via an adaptive fractional-order central difference particle filter under complex working conditions",[220,221,222,223,224],"Xianghua An","Zhe Gao","Jiaxing Wei","Dongyue Zheng","R. Q. Ma",{"@type":89,"@id":226,"schema:additionalType":91,"schema:identifier":227,"schema:headline":228,"schema:author":229,"schema:datePublished":106,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2026.121139","10.1016\u002Fj.est.2026.121139","A novel physics-informed constrained deep learning framework for enhanced battery state of charge estimation",[230,231,232,233,234,235],"Zheng Liu","Linfeng Yao","Wenjing Huang","Yanjun Jiang","Siyuan Qiu","Xiaofeng Tang",{"@type":89,"@id":237,"schema:additionalType":91,"schema:identifier":238,"schema:headline":239,"schema:author":240,"schema:datePublished":106,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2026.121175","10.1016\u002Fj.est.2026.121175","A novel dual-time-scale zonotopic Kalman filter integrated with optimizable convolutional long short-term memory for enhanced state of charge estimation in batteries of electric vehicles",[241,242,243,244],"Xin-Chen Zhou","Zi-Yun Wang","Yan Wang","Zhekang Dong",{"@type":89,"@id":246,"schema:additionalType":91,"schema:identifier":247,"schema:headline":248,"schema:author":249,"schema:datePublished":106,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2026.121636","10.1016\u002Fj.est.2026.121636","Equivalent circuit model for electrical performance characterisation of lithium-ion batteries under thermo-mechanical loads",[250,251,252,253],"Oscar E. Rojas","Ruben Hrstka-Sanchez","Feiyang He","Muhammad Hasnain Khan",{"@type":89,"@id":255,"schema:additionalType":91,"schema:identifier":256,"schema:headline":257,"schema:author":258,"schema:datePublished":106,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2026.122089","10.1016\u002Fj.est.2026.122089","On the assessment of meta-heuristic algorithms for parameter identification of an equivalent circuit model in lithium-ion batteries: a comprehensive comparative analysis",[259],"Mehmet Ali Usta",{"@type":89,"@id":261,"schema:additionalType":91,"schema:identifier":262,"schema:headline":263,"schema:author":264,"schema:datePublished":106,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2026.122916","10.1016\u002Fj.est.2026.122916","Physics-informed neural network driven adaptive extended Kalman filter for robust state-of-charge estimation of lithium-ion batteries",[162,163,265,164,266,166],"Mohamed J. M. A. Rasul","Jimin Oh",{"@type":89,"@id":268,"schema:additionalType":91,"schema:identifier":269,"schema:headline":270,"schema:author":271,"schema:datePublished":106,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2026.122921","10.1016\u002Fj.est.2026.122921","A novel hybrid framework for state of charge estimation of lithium-ion batteries: Fusing online parameter identification with adaptive filter and deep learning models",[272,273,274,275,276,277,278,279,280,281],"Zhong Ge","Zhongze Yu","Zhen Lei","Lei Lang","Xiaoxia Bai","Genyu Xu","Ming Ma","Hongguang Zhang","Yinlian Yan","Yonghong Xu",{"@type":89,"@id":283,"schema:additionalType":91,"schema:identifier":284,"schema:headline":285,"schema:author":286,"schema:datePublished":106,"schema:isPartOf":187},"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",[287,288,289,290],"Ziyang Gong","Tao He","Senlin Wu","Bo Wei",{"@type":89,"@id":292,"schema:additionalType":91,"schema:identifier":293,"schema:headline":294,"schema:author":295,"schema:datePublished":106,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2026.123275","10.1016\u002Fj.est.2026.123275","Two-stage prediction–correction with residual compensation: A framework for robust state of charge estimation under cross-temperature conditions",[296,297,298,299,300,301],"Chuanxin Fan","Ying Liu","Kailong Liu","Ming Li","Yaxar Turgun","Qiao Peng",{"@type":89,"@id":303,"schema:additionalType":91,"schema:identifier":304,"schema:headline":305,"schema:author":306,"schema:datePublished":106,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2026.123570","10.1016\u002Fj.est.2026.123570","State of charge estimation for lithium-ion batteries under dynamic noisy conditions using a physics-constrained extended long short-term memory–sparse transformer",[307,308,309,310],"Yanjun Xiao","Fang Wang","Weiling Liu","Feng Wan",{"@type":89,"@id":312,"schema:additionalType":91,"schema:identifier":313,"schema:headline":314,"schema:author":315,"schema:datePublished":106,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2026.123727","10.1016\u002Fj.est.2026.123727","Battery state of charge estimation under time-varying non-Gaussian noise via an adaptive variational Bayesian approach with generalized Gaussian–Student's t mixture entropy",[316,317,318],"Kezheng Chen","Ke Shen","Dan Zhao",{"@type":89,"@id":320,"schema:additionalType":91,"schema:identifier":321,"schema:headline":322,"schema:author":323,"schema:datePublished":106,"schema:isPartOf":326},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jiec.2026.02.024","10.1016\u002Fj.jiec.2026.02.024","Voltage Prediction in Lithium-Ion Batteries: Integrating Physics-based Model with Neural Networks for Enhanced Accuracy",[324,325,166],"Anshul Nagar","Akhil Garg","Journal of Industrial and Engineering Chemistry",{"@type":89,"@id":328,"schema:additionalType":91,"schema:identifier":329,"schema:headline":330,"schema:author":331,"schema:datePublished":106,"schema:isPartOf":337},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jpowsour.2026.240164","10.1016\u002Fj.jpowsour.2026.240164","Fast state of health estimation of unknown lithium-ion batteries for second-life and recycling assessment",[332,333,334,335,336],"Christopher Wett","Jörg Lampe","Joey Danz","Thomas Seeger","Bugra Turan","Journal of Power Sources",{"@type":89,"@id":339,"schema:additionalType":91,"schema:identifier":340,"schema:headline":341,"schema:author":342,"schema:datePublished":106,"schema:isPartOf":337},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jpowsour.2026.240214","10.1016\u002Fj.jpowsour.2026.240214","Edge device compatible optimization considering trade-off between lithium-ion battery charging speed and temperature rise via Grover-Q-learning",[343,344,345,346,347,348],"Xiuhan Huang","Chen Liang","Shengyu Tao","Yiran Wang","Xinghao Huang","Bizhong Xia",{"@type":89,"@id":350,"schema:additionalType":91,"schema:identifier":351,"schema:headline":352,"schema:author":353,"schema:datePublished":106,"schema:isPartOf":337},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jpowsour.2026.240912","10.1016\u002Fj.jpowsour.2026.240912","Mitigating polarization-related thermal accumulation in lithium-ion batteries via adaptive multi-stage current optimization",[307,354,355,310,309],"Fuzhen Wang","Chaohu Liu",{"@type":89,"@id":357,"schema:additionalType":91,"schema:identifier":358,"schema:headline":359,"schema:author":360,"schema:datePublished":106},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fccdc69976.2026.11559846","10.1109\u002Fccdc69976.2026.11559846","Joint Estimation of SOC and SOE for Lithium-ion Batteries Based on Adaptive Fractional-Order Central Difference Kalman Filter",[220,221,361,223,362,363],"Yue Wang","Xiaowei Zeng","Q WANG",{"@type":89,"@id":365,"schema:additionalType":91,"schema:identifier":366,"schema:headline":367,"schema:author":368,"schema:datePublished":106},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fiitcee67948.2026.11394053","10.1109\u002Fiitcee67948.2026.11394053","Single Cycle Performance and Temperature-Dependent Analysis of INR18650-20R Li-Ion Cells",[369,370],"Karanam Vasudha","Subodh Kumar Panda",{"@type":89,"@id":372,"schema:additionalType":91,"schema:identifier":373,"schema:headline":374,"schema:author":375,"schema:datePublished":106},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fodicon66687.2026.11470604","10.1109\u002Fodicon66687.2026.11470604","Intelligent Computing Based State of Charge Estimation Through Battery Management System Considering Dynamic Temperature Variation",[376,377,378,379,380],"Abhishek Sen Sarma","Arkadeep Ghosh","Rishik Bhaduri","Tusta Saha","Sourav Das",{"@type":89,"@id":382,"schema:additionalType":91,"schema:identifier":383,"schema:headline":384,"schema:author":385,"schema:datePublished":106,"schema:isPartOf":390},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftcst.2026.3650897","10.1109\u002Ftcst.2026.3650897","Adaptive Multirate Moving Horizon Estimator for Real-Time Battery State and Parameter Estimation",[386,387,388,389],"Tushar K. Desai","Federico Oliva","D. Carnevale","Riccardo Ferrari","IEEE Transactions on Control Systems Technology",{"@type":89,"@id":392,"schema:additionalType":91,"schema:identifier":393,"schema:headline":394,"schema:author":395,"schema:datePublished":106,"schema:isPartOf":402},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftia.2026.3653911","10.1109\u002Ftia.2026.3653911","Computationally Efficient MPC With Embedded Adaptive Battery Balancing for CHB Inverters",[396,397,398,399,400,401],"Filippo Gemma","Giulia Tresca","Jacopo Riccio","Behrouz Mohammadzadeh","Andrea Volpini","Pericle Zanchetta","IEEE Transactions on Industry Applications",{"@type":89,"@id":404,"schema:additionalType":91,"schema:identifier":405,"schema:headline":406,"schema:author":407,"schema:datePublished":106,"schema:isPartOf":412},"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",[408,409,410,411],"Hai Guo","Zhaohui Li","Haoze Xue","Jing Luo","Batteries",{"@type":89,"@id":414,"schema:additionalType":91,"schema:identifier":415,"schema:headline":416,"schema:author":417,"schema:datePublished":106,"schema:isPartOf":412},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fbatteries12080292","10.3390\u002Fbatteries12080292","Battery SOC Estimation Based on IAFFRLS-IGWO-AEKF Method",[418,419,420,421,422,423],"Hui Luan","Meng Xu","Xinyue Piao","Song Zhang","Benxin Wu","Baofeng Tian",{"@type":89,"@id":425,"schema:additionalType":91,"schema:identifier":426,"schema:headline":427,"schema:author":428,"schema:datePublished":106,"schema:isPartOf":435},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Felectronics15030698","10.3390\u002Felectronics15030698","A Battery State-of-Charge Prediction Method Based on a Hammerstein Model Integrated with a Hippopotamus Optimization Algorithm and Neural Network",[429,430,431,432,433,434],"Liang Zhang","Bilong Yang","Ling Lyu","Sihan Che","Haoqiang Li","Weifei Wang","Electronics",{"@type":89,"@id":437,"schema:additionalType":91,"schema:identifier":438,"schema:headline":439,"schema:author":440,"schema:datePublished":106,"schema:isPartOf":453},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fen19061467","10.3390\u002Fen19061467","A Novel SOC Estimation Method for Lithium-Ion Batteries Based on Serial LSTM-UKF Fusion",[441,442,443,444,445,446,447,448,449,450,451,452],"Yao Li","Rong Wang","Yi Jin","Zhenxin Sun","Hui Liu","Yu Liu","Yanhui Liu","Jiahuan Xu","Ye Tao","Zhaoyu Jiang","Yue Ma","Jiuchun Jiang","Energies",{"@type":89,"@id":455,"schema:additionalType":91,"schema:identifier":456,"schema:headline":457,"schema:author":458,"schema:datePublished":106,"schema:isPartOf":453},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fen19143298","10.3390\u002Fen19143298","A LightGBM-Regulated and Residual-Compensated Adaptive Extended Kalman Filter for State of Charge Estimation Under Unseen Driving Cycles",[459,460,461,462,463],"Mengqi Gao","Gang Fang","Li Cai","Xiaojiang Zou","Nina Dai",{"@type":89,"@id":465,"schema:additionalType":91,"schema:identifier":466,"schema:headline":467,"schema:author":468,"schema:datePublished":106,"schema:isPartOf":475},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fmath14111863","10.3390\u002Fmath14111863","Joint Parameter and State of Charge Estimation via Temperature-Decoupled Modeling and Adaptive Multi-Innovation Unscented Kalman Filter",[469,470,471,472,473,474],"Hanqi Wang","Xiaoyu Dai","Kailong Chu","Lv He","Dan Tang","Liqing Liao","Mathematics",{"@type":89,"@id":477,"schema:additionalType":91,"schema:identifier":478,"schema:headline":479,"schema:author":480,"schema:datePublished":488,"schema:isPartOf":167},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.energy.2025.136134","10.1016\u002Fj.energy.2025.136134","A highly effective and robust structure-based LSTM with feature-vector tuning framework for high-accuracy SOC estimation in EV",[481,482,483,484,485,486,487],"Junyoung Ahn","Yoonseok Lee","Byeongjik Han","Sohyeon Lee","Y. K. Kim","Daewon Chung","Joonhyeon Jeon",2025,{"@type":89,"@id":490,"schema:additionalType":91,"schema:identifier":491,"schema:headline":492,"schema:author":493,"schema:datePublished":488,"schema:isPartOf":500},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.engappai.2025.110388","10.1016\u002Fj.engappai.2025.110388","A multiple aging factor interactive learning framework for lithium-ion battery state-of-health estimation",[494,495,496,497,498,499],"Zhengyi Bao","Tingting Luo","Mingyu Gao","Zhiwei He","Yuxiang Yang","Jiahao Nie","Engineering Applications of Artificial Intelligence",{"@type":89,"@id":502,"schema:additionalType":91,"schema:identifier":503,"schema:headline":504,"schema:author":505,"schema:datePublished":488,"schema:isPartOf":510},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fjmse13010126","10.3390\u002Fjmse13010126","State of Charge Estimation for Lithium Battery in Shipboard DC Power Grid Based on Differential Evolutionary Algorithm",[506,507,508,509],"Yanbiao Li","Jundong Zhang","Zunlei Duan","Chuan Wang","Journal of Marine Science and Engineering",{"@type":89,"@id":512,"schema:additionalType":91,"schema:identifier":513,"schema:headline":514,"schema:author":515,"schema:datePublished":488,"schema:isPartOf":118},"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",[516,517,518,519,520],"Shanshan Wang","Hao Zhang","Wenkang Han","Qicai Yin","Liang Zeng",{"@type":89,"@id":522,"schema:additionalType":91,"schema:identifier":523,"schema:headline":524,"schema:author":525,"schema:datePublished":488,"schema:isPartOf":118},"https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11581-025-06812-1","10.1007\u002Fs11581-025-06812-1","State of charge estimation and parameter identification of lithium-ion batteries based on multi-matrix optimization",[526,527],"Yi Wu","Xin Li",{"@type":89,"@id":529,"schema:additionalType":91,"schema:identifier":530,"schema:headline":531,"schema:author":532,"schema:datePublished":488,"schema:isPartOf":475},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fmath13182922","10.3390\u002Fmath13182922","State of Charge Estimation of Lithium-Ion Batteries Based on Hidden Markov Factor Graphs",[533,534,535,536,537],"Wei Fang","Z. Su","Yu-Tong Shao","Guangping Wu","Peng Liu",{"@type":89,"@id":539,"schema:additionalType":91,"schema:identifier":540,"schema:headline":541,"schema:author":542,"schema:datePublished":488,"schema:isPartOf":549},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fapp15179653","10.3390\u002Fapp15179653","Research on Estimation of State of Charge for Lithium-Ion Batteries Based on TRNN-CTA",[543,544,545,546,547,548],"Yanfeng Wu","Jihui Zhuang","Ling Liu","Fan Zeng","Pei Li","Xiaoming Cheng","Applied Sciences",{"@type":89,"@id":551,"schema:additionalType":91,"schema:identifier":552,"schema:headline":553,"schema:author":554,"schema:datePublished":488,"schema:isPartOf":557},"https:\u002F\u002Fdoi.org\u002F10.1039\u002Fd5se00084j","10.1039\u002Fd5se00084j","Study on the discharge behavior of spent lithium-ion batteries under externally assisted conditions",[555,556],"Qiao Yu","Zhonghao Rao","Sustainable Energy & Fuels",{"@type":89,"@id":559,"schema:additionalType":91,"schema:identifier":560,"schema:headline":561,"schema:author":562,"schema:datePublished":488,"schema:isPartOf":565},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.applthermaleng.2025.126353","10.1016\u002Fj.applthermaleng.2025.126353","Development of sodium acetate trihydrate-based composite phase change materials with expanded graphite for nonflammable thermal stabilization and isothermal performance in battery modules",[563,564],"Seungmin Heo","Se‐Jin Yook","Applied Thermal Engineering",{"@type":89,"@id":567,"schema:additionalType":91,"schema:identifier":568,"schema:headline":569,"schema:author":570,"schema:datePublished":488,"schema:isPartOf":565},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.applthermaleng.2025.125991","10.1016\u002Fj.applthermaleng.2025.125991","Pre-detection of thermal runaway in Li-ion 18650 batteries via temperature and voltage: The importance of temperature measurement location",[571,572,573,574,574],"Jungmyung Kim","Dowon Bae","Chanhyeok Park","Heesung Park",{"@type":89,"@id":576,"schema:additionalType":91,"schema:identifier":577,"schema:headline":578,"schema:author":579,"schema:datePublished":488,"schema:isPartOf":586},"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",[580,581,582,583,584,585],"Zhanghua Xiao","Jingzhi Rao","Cheng Ji","Fangyuan Ma","Jingde Wang","Wei Hua Sun","Processes",{"@type":89,"@id":588,"schema:additionalType":91,"schema:identifier":589,"schema:headline":590,"schema:author":591,"schema:datePublished":488,"schema:isPartOf":167},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.energy.2025.135498","10.1016\u002Fj.energy.2025.135498","Concurrent estimation of lithium-ion battery charge and energy states by fractional-order model and multi-innovation adaptive cubature Kalman filter",[592,593,594,595,596,597,598,599,600],"Chao Wang","Xin Wang","Mingjian Yang","Jiale Li","Feng Qian","Zunhua Zhang","Mengni Zhou","Xiaofeng Guo","Kai Wang",{"@type":89,"@id":602,"schema:additionalType":91,"schema:identifier":603,"schema:headline":604,"schema:author":605,"schema:datePublished":488,"schema:isPartOf":167},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.energy.2025.135904","10.1016\u002Fj.energy.2025.135904","An equivalent time-varying circuit model of lithium-ion batteries with its applications",[606,607,608],"Yang Yi Xiong","Dan Li","Jian Qiu Zhang",{"@type":89,"@id":610,"schema:additionalType":91,"schema:identifier":611,"schema:headline":612,"schema:author":613,"schema:datePublished":488,"schema:isPartOf":412},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fbatteries11100377","10.3390\u002Fbatteries11100377","Online Parameter Identification of a Fractional-Order Chaotic System for Lithium-Ion Battery RC Equivalent Circuit Using a State Observer",[614,615,616,617],"Yanzeng Gao","Donghui Xu","Haiou Wen","Liqin Xu",{"@type":89,"@id":619,"schema:additionalType":91,"schema:identifier":620,"schema:headline":621,"schema:author":622,"schema:datePublished":488,"schema:isPartOf":629},"https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41598-025-15597-2","10.1038\u002Fs41598-025-15597-2","CNN-LSTM optimized with SWATS for accurate state-of-charge estimation in lithium-ion batteries considering internal resistance",[623,624,625,626,627,628],"Zhaowei Zhang","Chen Liu","Tianyu Li","Tian Wang","Yaoyao Cui","Pengcheng Zhao","Scientific Reports",{"@type":89,"@id":631,"schema:additionalType":91,"schema:identifier":632,"schema:headline":633,"schema:author":634,"schema:datePublished":488,"schema:isPartOf":178},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.epsr.2025.111932","10.1016\u002Fj.epsr.2025.111932","Enhanced state-of-charge estimation of Li-ion batteries using an extended particle filter approach",[635,636],"O. Guerrab","F. Lakhdari",{"@type":89,"@id":638,"schema:additionalType":91,"schema:identifier":639,"schema:headline":640,"schema:author":641,"schema:datePublished":488,"schema:isPartOf":644},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fenvironments12040119","10.3390\u002Fenvironments12040119","Pretreatment Methods for Recovering Active Cathode Material from Spent Lithium-Ion Batteries",[100,642,643,102],"Flavio Francalanci","Eleonora Stefanelli","Environments",{"@type":89,"@id":646,"schema:additionalType":91,"schema:identifier":647,"schema:headline":648,"schema:author":649,"schema:datePublished":488,"schema:isPartOf":655},"https:\u002F\u002Fdoi.org\u002F10.1002\u002Ftee.70097","10.1002\u002Ftee.70097","State‐of‐Charge Estimation of Lithium‐Ion Battery Using BP Neural Network and Adaptive Unscented Kalman Filter",[650,651,652,653,654],"Shuangbao Shu","Yarui Han","Xinyu Gao","Jiyao Wang","Luxin Wang","IEEJ Transactions on Electrical and Electronic Engineering",{"@type":89,"@id":657,"schema:additionalType":91,"schema:identifier":658,"schema:headline":659,"schema:author":660,"schema:datePublished":488,"schema:isPartOf":662},"https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs42452-025-07628-4","10.1007\u002Fs42452-025-07628-4","SOC fusion estimation for lithium battery using dual OCV-SOC relationships combined with fractional order extended Kalman filter",[661],"Ying Wei","Discover Applied Sciences",{"@type":89,"@id":664,"schema:additionalType":91,"schema:identifier":665,"schema:headline":666,"schema:author":667,"schema:datePublished":488,"schema:isPartOf":178},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.epsr.2025.112357","10.1016\u002Fj.epsr.2025.112357","A gated recurrent unit—Neural basis expansion analysis time series fusion model with conformable operators for mitigating abrupt change and improving state of charge estimation in batteries",[668,221,669],"Jiadan Li","Yuhang Wang",{"@type":89,"@id":671,"schema:additionalType":91,"schema:identifier":672,"schema:headline":673,"schema:author":674,"schema:datePublished":488,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2025.115346","10.1016\u002Fj.est.2025.115346","A review of battery SOC estimation based on equivalent circuit models",[592,594,593,675,596,676,677,597,599],"Zhuohang Xiong","Chengji Deng","Chao Yu",{"@type":89,"@id":679,"schema:additionalType":91,"schema:identifier":680,"schema:headline":681,"schema:author":682,"schema:datePublished":488,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2025.115839","10.1016\u002Fj.est.2025.115839","Virtual platform evaluation of an optimized electric vehicle energy management network utilizing parallel cell connected battery packs",[683,684,685,686],"Aaruththiran Manoharan","Denesh Sooriamoorthy","Vimal Rau Aparow","Mumtaj Begam",{"@type":89,"@id":688,"schema:additionalType":91,"schema:identifier":689,"schema:headline":690,"schema:author":691,"schema:datePublished":488,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2025.115934","10.1016\u002Fj.est.2025.115934","Improving lightweight state-of-charge estimation of lithium-ion battery using residual network and gated recurrent neural network",[692,693,694,695],"Yinglong Zhao","Yong Li","Yijia Cao","Yixiao Wang",{"@type":89,"@id":697,"schema:additionalType":91,"schema:identifier":698,"schema:headline":699,"schema:author":700,"schema:datePublished":488,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2025.116023","10.1016\u002Fj.est.2025.116023","An adaptive hybrid approach for online battery state of charge estimation",[701,702,703,704,705,706,707],"Qiongbin Lin","Huiyang Hong","Ruochen Huang","Yuhang Fan","Jia Chen","Ya‐Xiong Wang","Zhimin Dan",{"@type":89,"@id":709,"schema:additionalType":91,"schema:identifier":710,"schema:headline":711,"schema:author":712,"schema:datePublished":488,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2025.116097","10.1016\u002Fj.est.2025.116097","Beta-Gaussian iterated posterior linearization filter for lithium-ion battery state-of-charge estimation",[212,713,214],"Ángel F. García‐Fernández",{"@type":89,"@id":715,"schema:additionalType":91,"schema:identifier":716,"schema:headline":717,"schema:author":718,"schema:datePublished":488,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2025.116815","10.1016\u002Fj.est.2025.116815","A Transformer-BiLSTM-MLP model for SOC estimation of lithium-ion batteries",[719,720,721,722,723,724,725,726,727],"Wanwen Wu","Fenglian Yuan","Jingfei Fu","Shuangquan Liu","Zewei Quan","Zhen Guo Wu","Yirga Eyasu Tenawerk","Jing Shi","Xiaobao Zhu",{"@type":89,"@id":729,"schema:additionalType":91,"schema:identifier":730,"schema:headline":731,"schema:author":732,"schema:datePublished":488,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2025.116873","10.1016\u002Fj.est.2025.116873","Estimating state of charge of lithium-ion battery using an adaptive fractional-order Kalman-unscented particle filter",[733,221,734],"Zhiyuan Jiao","Haoyu Chai",{"@type":89,"@id":736,"schema:additionalType":91,"schema:identifier":737,"schema:headline":738,"schema:author":739,"schema:datePublished":488,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2025.117836","10.1016\u002Fj.est.2025.117836","Estimation of lithium-ion batteries state-of-charge based on crayfish optimization algorithm and Kolmogorov-Arnold Network",[740,741,742,743,744,745],"Yilin Yang","Shuxia Jiang","Zhou Yongjun","Hao Xue","Shuai Yan","Pengcheng Guo",{"@type":89,"@id":747,"schema:additionalType":91,"schema:identifier":748,"schema:headline":749,"schema:author":750,"schema:datePublished":488,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2025.117849","10.1016\u002Fj.est.2025.117849","Predicting lithium-ion battery state of charge with long short-term memory network enhanced extended Kalman filter",[751,752,753,754,755],"Baijia Yu","Gang Wang","Erning Zhu","Siyu Yao","Yun Zhou",{"@type":89,"@id":757,"schema:additionalType":91,"schema:identifier":758,"schema:headline":759,"schema:author":760,"schema:datePublished":488,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2025.117909","10.1016\u002Fj.est.2025.117909","Parallel iterated posterior linearization smoother for estimation of battery parameters and state of charge in logarithmic time",[212,713,214],{"@type":89,"@id":762,"schema:additionalType":91,"schema:identifier":763,"schema:headline":764,"schema:author":765,"schema:datePublished":488,"schema:isPartOf":187},"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",[766,767,768,769,770,771],"Caichen Cheng","Xiaoyong Zeng","Xiangyang Xia","Laien Chen","Linghui Xiang","Xuzhi Liu",{"@type":89,"@id":773,"schema:additionalType":91,"schema:identifier":774,"schema:headline":775,"schema:author":776,"schema:datePublished":488,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2025.118425","10.1016\u002Fj.est.2025.118425","Quantum-inspired grey wolf optimizer for rapid lithium-ion battery parameter identification in electric vehicles",[777,778,779,780,781],"Guiwei Huang","Feiyan Qin","Yang Chun Zhao","Weimin Li","Zhiwen Li",{"@type":89,"@id":783,"schema:additionalType":91,"schema:identifier":784,"schema:headline":785,"schema:author":786,"schema:datePublished":488,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2025.119417","10.1016\u002Fj.est.2025.119417","A temporal convolutional network-Transformer-CrossAttention model for state of charge estimation of lithium-ion batteries",[740,742,787,741,743,745],"Zhendong Liu",{"@type":89,"@id":789,"schema:additionalType":91,"schema:identifier":790,"schema:headline":791,"schema:author":792,"schema:datePublished":488,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2025.119910","10.1016\u002Fj.est.2025.119910","Power hardware in the loop-based lifetime assessment of hybrid energy storage systems: A novel realistic approach",[793,794,795,796],"Seyede Masoome Maroufi","Dario Pelosi","Linda Barelli","Giovanni De Carne",{"@type":89,"@id":798,"schema:additionalType":91,"schema:identifier":799,"schema:headline":800,"schema:author":801,"schema:datePublished":488,"schema:isPartOf":629},"https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41598-025-29449-6","10.1038\u002Fs41598-025-29449-6","Dual-phase optimized deep learning framework for accurate, efficient, and robust battery SoC estimation",[802,803],"R. Sasikala","Geetha Mani",{"@type":89,"@id":805,"schema:additionalType":91,"schema:identifier":806,"schema:headline":807,"schema:author":808,"schema:datePublished":488,"schema:isPartOf":811},"https:\u002F\u002Fdoi.org\u002F10.1049\u002Fgtd2.70162","10.1049\u002Fgtd2.70162","A Cascaded Hybrid Model for Battery SOC Estimation Based on Adaptive EKF and LSTM",[809,810],"Zhao bo Yang","Shuliang Wang","IET Generation Transmission & Distribution",{"@type":89,"@id":813,"schema:additionalType":91,"schema:identifier":814,"schema:headline":815,"schema:author":816,"schema:datePublished":488,"schema:isPartOf":820},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Faccess.2025.3600442","10.1109\u002Faccess.2025.3600442","Estimation of Essential Battery State Parameters for Battery Management Systems (BMS) in Electric Vehicles Using Long Short Term Memory (LSTM) and Time Series Analysis Combined With Extended Kalman Filter",[817,818,819],"N Sradha","G. Sruthi","J. Florence Gnana Poovathy","IEEE Access",{"@type":89,"@id":822,"schema:additionalType":91,"schema:identifier":823,"schema:headline":824,"schema:author":825,"schema:datePublished":488},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fcac67268.2025.11486813","10.1109\u002Fcac67268.2025.11486813","An Adaptive Extended Kalman Filtering Approach for Online State of Charge Estimation for Lithium-ion Battery",[826,827],"Yuanyuan Li","Xiaoyu Shi",{"@type":89,"@id":829,"schema:additionalType":91,"schema:identifier":830,"schema:headline":831,"schema:author":832,"schema:datePublished":488},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fccdc65474.2025.11090298","10.1109\u002Fccdc65474.2025.11090298","Modeling and Online SOC Estimation Method Using Back Propagation Neural Network with Momentum Gradient Descent Algorithm of Batteries",[833,834,835,836,837],"Huyong Kuang","Bize Zhang","Yuanyuan Zhang","Jin Tian","Yuan Cheng Fan",{"@type":89,"@id":839,"schema:additionalType":91,"schema:identifier":840,"schema:headline":841,"schema:author":842,"schema:datePublished":488},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fcodit66093.2025.11321883","10.1109\u002Fcodit66093.2025.11321883","State-of-Charge Estimation of Lithium-ion Battery using Super-Twisting Algorithm with Extended State Observer",[843,844,845,846],"Pooja Singh","Dhanalakshmi Kaliaperumal","Rahul Kumar Sharma","Shyam Kamal",{"@type":89,"@id":848,"schema:additionalType":91,"schema:identifier":849,"schema:headline":850,"schema:author":851,"schema:datePublished":488},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficcsc66714.2025.11135161","10.1109\u002Ficcsc66714.2025.11135161","A Comparative Study of Parameter Identification Techniques for State-of-Charge Estimation Using Extended Kalman Filter",[852,853,854,855,856,857,858],"Rachid Latif","Rachid Amenzouy","Mostafa Laaboubi","Mohamed Bakhouya","Mohamed Abouzahir","Wissam Jenkal","Zakaria El Khadiri",{"@type":89,"@id":860,"schema:additionalType":91,"schema:identifier":861,"schema:headline":862,"schema:author":863,"schema:datePublished":488},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficeaai64185.2025.10957636","10.1109\u002Ficeaai64185.2025.10957636","Lithium-Ion Battery Model Analysis Based on Levenberg-Marquardt Algorithm",[864,865],"Yu Kuang","Yanchi Zhang",{"@type":89,"@id":867,"schema:additionalType":91,"schema:identifier":868,"schema:headline":869,"schema:author":870,"schema:datePublished":488},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficeca66444.2025.11383496","10.1109\u002Ficeca66444.2025.11383496","Data-Driven LSTM Framework for Robust SoC Prediction in Battery Applications",[871,872,873,874],"Alagar Karthick","Maddur Pedda Chennaiah","S Kaliappan","V. Jayashree",{"@type":89,"@id":876,"schema:additionalType":91,"schema:identifier":877,"schema:headline":878,"schema:author":879,"schema:datePublished":488},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficesa66763.2025.11280722","10.1109\u002Ficesa66763.2025.11280722","A Comparative Study of Test Profile-Based Parameter Identification for State-of-Charge Estimation Using Extended Kalman Filter",[853,854,852,855,856,857],{"@type":89,"@id":881,"schema:additionalType":91,"schema:identifier":882,"schema:headline":883,"schema:author":884,"schema:datePublished":488},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fieecon64081.2025.10987695","10.1109\u002Fieecon64081.2025.10987695","Comparative Analysis of Algorithms for Predicting the Remaining Useful Life of Lithium-Ion Batteries",[885,886,887],"Weergul Pratumgul","Waratchaya Pratumgul","Sucheera Phramala",{"@type":89,"@id":889,"schema:additionalType":91,"schema:identifier":890,"schema:headline":891,"schema:author":892,"schema:datePublished":488},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fpectea61788.2025.11076478","10.1109\u002Fpectea61788.2025.11076478","Performance Comparison of Recurrent Neural Network Variants for State of Charge Prediction in Lithium-Ion Batteries",[893,894,895,896,897],"K Saneep","M Kannan","Kinattingal Sundareswaran","P. Srinivasa Rao Nayak","T Mithun",{"@type":89,"@id":899,"schema:additionalType":91,"schema:identifier":900,"schema:headline":901,"schema:author":902,"schema:datePublished":488},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fsenze66459.2025.11428698","10.1109\u002Fsenze66459.2025.11428698","A Hybrid Machine Learning and Model-Based Framework for Reliable Fault Diagnosis in Lithium-Ion Batteries",[903,904,905,906],"Taha Mohamed Abdelatif Maaradji","Salima Alem","Sofiane Berrazouane","Youcef Touati",{"@type":89,"@id":908,"schema:additionalType":91,"schema:identifier":909,"schema:headline":910,"schema:author":911,"schema:datePublished":488,"schema:isPartOf":918},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftie.2025.3528505","10.1109\u002Ftie.2025.3528505","Online Estimation of Model Parameters and State of Charge for Lithium-Ion Battery Using Multitimescale Recurrent Neural Networks",[912,837,913,833,914,915,916,917],"Zepei Zhang","Jiaqiang Tian","Mince Li","Tianhong Pan","Yujie Wang","Xinghua Liu","IEEE Transactions on Industrial Electronics",{"@type":89,"@id":920,"schema:additionalType":91,"schema:identifier":921,"schema:headline":922,"schema:author":923,"schema:datePublished":488,"schema:isPartOf":918},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftie.2025.3626624","10.1109\u002Ftie.2025.3626624","Whole Process Covert Attacks for Lithium-Ion Batteries in Battery Energy Storage Systems",[924,925,926,927,928],"Yu Huang","Xi Sun","Tongkai Hao","Bin Lu","Hongtian Chen",{"@type":89,"@id":930,"schema:additionalType":91,"schema:identifier":931,"schema:headline":932,"schema:author":933,"schema:datePublished":488,"schema:isPartOf":938},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftim.2025.3545698","10.1109\u002Ftim.2025.3545698","An Integrated Framework for ARX Model Identification and Its Application to Lithium-Ion Battery",[934,935,936,204,937],"M. J. Chen","Xiangpeng Xie","Chaoyue He","Min Xiao","IEEE Transactions on Instrumentation and Measurement",{"@type":89,"@id":940,"schema:additionalType":91,"schema:identifier":941,"schema:headline":942,"schema:author":943,"schema:datePublished":488,"schema:isPartOf":938},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftim.2025.3617390","10.1109\u002Ftim.2025.3617390","Physics-Enhanced Transfer Learning for the State-of-Charge Estimation of Spacecraft Li-Ion Batteries Using Bi-LSTM Networks",[944,945,946,947,948],"Tianran Gao","Kaixin Cui","Zhigang Liu","Haijin Li","Dawei Shi",{"@type":89,"@id":950,"schema:additionalType":91,"schema:identifier":951,"schema:headline":952,"schema:author":953,"schema:datePublished":488,"schema:isPartOf":938},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftim.2025.3633370","10.1109\u002Ftim.2025.3633370","Multistage Heterogeneous Decoupling Network for Lithium-Ion Battery State-of-Health Estimation",[954,955,956,957,958],"Qi Wang","Wentao Lyu","Qing Guo","Chengqun Wang","Zhijiang Deng",{"@type":89,"@id":960,"schema:additionalType":91,"schema:identifier":961,"schema:headline":962,"schema:author":963,"schema:datePublished":488,"schema:isPartOf":967},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftte.2025.3578527","10.1109\u002Ftte.2025.3578527","Lightweight State of Charge Estimation of Lithium-Ion Battery Based on Pruned Neural Networks",[964,965,194,966,196,556],"Chaoran Li","Lele Li","Shoubin Zhou","IEEE Transactions on Transportation Electrification",{"@type":89,"@id":969,"schema:additionalType":91,"schema:identifier":970,"schema:headline":971,"schema:author":972,"schema:datePublished":488,"schema:isPartOf":967},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftte.2025.3633776","10.1109\u002Ftte.2025.3633776","Variational Bayesian Uncorrelated Conversion Filtering With Application to SOC Estimation",[973,974],"Le Zhang","Jian Lan",{"@type":89,"@id":976,"schema:additionalType":91,"schema:identifier":977,"schema:headline":978,"schema:author":979,"schema:datePublished":488,"schema:isPartOf":412},"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",[980,981],"Pierpaolo Dini","Davide Paolini",{"@type":89,"@id":983,"schema:additionalType":91,"schema:identifier":984,"schema:headline":985,"schema:author":986,"schema:datePublished":988,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2024.110728","10.1016\u002Fj.est.2024.110728","State of charge estimation of lithium-ion battery with an adaptive fractional-order cubature Kalman filter considering initial value problem",[734,221,733,987],"Dandan Song",2024,{"@type":89,"@id":990,"schema:additionalType":91,"schema:identifier":991,"schema:headline":992,"schema:author":993,"schema:datePublished":988,"schema:isPartOf":167},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.energy.2024.133467","10.1016\u002Fj.energy.2024.133467","A fusion algorithm of multidimensional element space mapping architecture for SOC estimation of lithium-ion batteries under dynamic operating conditions",[994,995,996,997],"Jiang Wu","Dong Lei","Zelong Liu","Yan Zhang",{"@type":89,"@id":999,"schema:additionalType":91,"schema:identifier":1000,"schema:headline":1001,"schema:author":1002,"schema:datePublished":988,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2024.113677","10.1016\u002Fj.est.2024.113677","A Quantum Particle Swarm Optimization Extended Kalman Quantum Particle Filter approach on state of charge estimation for lithium-ion battery",[344,348,1003,1004,1005,1006],"Shuxuan Yue","Fan Zhang","Liuxin Qu","Shengyi Wang",{"@type":89,"@id":1008,"schema:additionalType":91,"schema:identifier":1009,"schema:headline":1010,"schema:author":1011,"schema:datePublished":988,"schema:isPartOf":1018},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.compeleceng.2024.109729","10.1016\u002Fj.compeleceng.2024.109729","Enhancing the state-of-charge estimation of lithium-ion batteries using a CNN-BiGRU and AUKF fusion model",[1012,1013,1014,1015,1016,1017],"Wei He","Hongyan Ma","Rong Xing Guo","Jiechuan Xu","Zongyuan Xie","Haoyu Wen","Computers & Electrical Engineering",{"@type":89,"@id":1020,"schema:additionalType":91,"schema:identifier":1021,"schema:headline":1022,"schema:author":1023,"schema:datePublished":988,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2024.111706","10.1016\u002Fj.est.2024.111706","A novel suppressing Kalman filter divergence method for the state of charge estimation of lithium-ion batteries under complex conditions",[1024,1025,1026,1027],"Dongdong Ge","Guiyang Jin","Jianqiang Wang","Zhendong Zhang",{"@type":89,"@id":1029,"schema:additionalType":91,"schema:identifier":1030,"schema:headline":1031,"schema:author":1032,"schema:datePublished":988,"schema:isPartOf":435},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Felectronics13112178","10.3390\u002Felectronics13112178","Investigation of Lithium-Ion Battery Negative Pulsed Charging Strategy Using Non-Dominated Sorting Genetic Algorithm II",[1033,1034,1035,1036],"Yixuan Huang","Shenghui Wang","Zhao Wang","Guangwei Xu",{"@type":89,"@id":1038,"schema:additionalType":91,"schema:identifier":1039,"schema:headline":1040,"schema:author":1041,"schema:datePublished":988,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2024.111908","10.1016\u002Fj.est.2024.111908","A novel hybrid optimized incremental relevance vector machine and filtering technique for state of charge estimation of lithium-ion batteries",[592,1042,1043,1044],"Xin Zhang","Xiang Yun","Xingming Fan",{"@type":89,"@id":1046,"schema:additionalType":91,"schema:identifier":1047,"schema:headline":1048,"schema:author":1049,"schema:datePublished":988,"schema:isPartOf":167},"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",[1050,1051,1052,1053,1054],"Chong Bian","Zhiyu Duan","Yaqian Hao","Shunkun Yang","Junlan Feng",{"@type":89,"@id":1056,"schema:additionalType":91,"schema:identifier":1057,"schema:headline":1058,"schema:author":1059,"schema:datePublished":988,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2024.112046","10.1016\u002Fj.est.2024.112046","Optimization charging method of lithium-ion battery based on multi-objective BBO algorithm",[1060,1061,1062,1063,1064],"Shuangming Duan","Kuifeng Xia","Junhui Li","Zhiqiang Zhao","Haojun Liu",{"@type":89,"@id":1066,"schema:additionalType":91,"schema:identifier":1067,"schema:headline":1068,"schema:author":1069,"schema:datePublished":988,"schema:isPartOf":139},"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",[1070,1071,693,1072,1073,1074],"Kai Zhang","Dongxin Bai","Ke Song","Bailin Zheng","Fuqian Yang",{"@type":89,"@id":1076,"schema:additionalType":91,"schema:identifier":1077,"schema:headline":1078,"schema:author":1079,"schema:datePublished":988,"schema:isPartOf":167},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.energy.2024.130948","10.1016\u002Fj.energy.2024.130948","State of charge estimation for Li-ion battery during dynamic driving process based on dual-channel deep learning methods and conditional judgement",[194,193,964,1080,1081,196,1081,196],"Jianke Li","Xiaori Liu",{"@type":89,"@id":1083,"schema:additionalType":91,"schema:identifier":1084,"schema:headline":1085,"schema:author":1086,"schema:datePublished":988,"schema:isPartOf":1095},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fmodelling5030048","10.3390\u002Fmodelling5030048","A Model-Based Strategy for Active Balancing and SoC and SoH Estimations of an Automotive Battery Management System",[1087,1088,1089,1090,1091,1092,1093,1094],"Lorenzo Breglio","Arcangelo Fiordellisi","Giovanni Gasperini","Giulio Iodice","Denise Palermo","Manuela Tufo","Fabio Ursumando","Agostino Mele","Modelling—International Open Access Journal of Modelling in Engineering Science",{"@type":89,"@id":1097,"schema:additionalType":91,"schema:identifier":1098,"schema:headline":1099,"schema:author":1100,"schema:datePublished":988,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2024.112438","10.1016\u002Fj.est.2024.112438","Secure state of charge estimation for lithium-ion batteries under deception attacks based on attack-resilient fractional-order extended Kalman filter",[1101,1102,1103],"Tong Yang","Yan Li","Yi Zeng",{"@type":89,"@id":1105,"schema:additionalType":91,"schema:identifier":1106,"schema:headline":1107,"schema:author":1108,"schema:datePublished":988,"schema:isPartOf":412},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fbatteries10050152","10.3390\u002Fbatteries10050152","Prediction of the Remaining Useful Life of Lithium-Ion Batteries Based on the 1D CNN-BLSTM Neural Network",[1109,1110,1111,1112,1113,1114],"Jianhui Mou","Qingxin Yang","Yi Tang","Yuhui Liu","Junjie Li","Chengcheng Yu",{"@type":89,"@id":1116,"schema:additionalType":91,"schema:identifier":1117,"schema:headline":1118,"schema:author":1119,"schema:datePublished":988,"schema:isPartOf":1122},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.heliyon.2024.e28454","10.1016\u002Fj.heliyon.2024.e28454","Development of dual polarization battery model with high accuracy for a lithium-ion battery cell under dynamic driving cycle conditions",[1120,1121],"Merve Tekin","Mehmet İhsan Karamangil","Heliyon",{"@type":89,"@id":1124,"schema:additionalType":91,"schema:identifier":1125,"schema:headline":1126,"schema:author":1127,"schema:datePublished":988,"schema:isPartOf":167},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.energy.2024.132583","10.1016\u002Fj.energy.2024.132583","A novel battery SOC estimation method based on random search optimized LSTM neural network",[1128,1129,1130],"Xuqing Chai","Shihao Li","Fengwei Liang",{"@type":89,"@id":1132,"schema:additionalType":91,"schema:identifier":1133,"schema:headline":1134,"schema:author":1135,"schema:datePublished":988,"schema:isPartOf":453},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fen17143488","10.3390\u002Fen17143488","The Impact of Wide Discharge C-Rates on the Voltage Plateau Performance of Cylindrical Ternary Lithium-Ion Batteries",[1136,1137,1138,1139,1140,1141],"Xingxing Wang","Yuhang Chen","Linfei Chen","Shengren Liu","Yu Zhu","Yelin Deng",{"@type":89,"@id":1143,"schema:additionalType":91,"schema:identifier":1144,"schema:headline":1145,"schema:author":1146,"schema:datePublished":988,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2024.114325","10.1016\u002Fj.est.2024.114325","Estimation of battery state of charge based on changing window adaptive extended Kalman filtering",[1147,1148,1149,1150,1151,1152,1153,1154,1155],"Jianhua Du","Jiabin Wang","B.L. Tan","Xin Cao","Chang Qu","Yingjie Ou","Xingfeng He","Leji Xiong","Ran Tu",{"@type":89,"@id":1157,"schema:additionalType":91,"schema:identifier":1158,"schema:headline":1159,"schema:author":1160,"schema:datePublished":988,"schema:isPartOf":1168},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.sciaf.2024.e02232","10.1016\u002Fj.sciaf.2024.e02232","Lithium-ion point-of-care ultrasound battery joint state of charge estimation",[1161,1162,1163,1164,1165,1166,1167],"Nicolas Daniel Mbele Ndzana","Aristide Tolok Nelem","Yannick Abanda","Mathieu Jean Pierre Pesdjock","Murele Vanina Toukam Ngouagna","Odile Fernande Zeh","Pierre Ele","Scientific African",{"@type":89,"@id":1170,"schema:additionalType":91,"schema:identifier":1171,"schema:headline":1172,"schema:author":1173,"schema:datePublished":988,"schema:isPartOf":167},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.energy.2024.132141","10.1016\u002Fj.energy.2024.132141","The sensitive detection of the early-stage internal short circuit triggered by lithium plating through the simplified electrochemical model at various working conditions",[1174,1175,1176,1177,1141],"Liubin Hou","Ao Dong","Ruifei Ma","Hejie Lin",{"@type":89,"@id":1179,"schema:additionalType":91,"schema:identifier":1180,"schema:headline":1181,"schema:author":1182,"schema:datePublished":988,"schema:isPartOf":337},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jpowsour.2024.235272","10.1016\u002Fj.jpowsour.2024.235272","A hybrid model for state of charge estimation of lithium-ion batteries utilizing improved adaptive extended Kalman filter and long short-term memory neural network",[1183,1184,1185,1186],"Chunsheng Wang","Ripeng Li","Yuan Fu Cao","Mutian Li",{"@type":89,"@id":1188,"schema:additionalType":91,"schema:identifier":1189,"schema:headline":1190,"schema:author":1191,"schema:datePublished":988,"schema:isPartOf":337},"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",[1192,767,768,769],"Yaoke Sun",{"@type":89,"@id":1194,"schema:additionalType":91,"schema:identifier":1195,"schema:headline":1196,"schema:author":1197,"schema:datePublished":988,"schema:isPartOf":337},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jpowsour.2024.235374","10.1016\u002Fj.jpowsour.2024.235374","A novel temporal-frequency dual attention mechanism network for state of charge estimation of lithium-ion battery",[1198,1199,1200,1201,1202,1203,1204,1205],"Kaixiong Li","Yong Zhang","Huaijin Liu","Yi You","Lixiong Zeng","Yiyuan Hong","Zhixiong Zhang","Ziping He",{"@type":89,"@id":1207,"schema:additionalType":91,"schema:identifier":1208,"schema:headline":1209,"schema:author":1210,"schema:datePublished":988,"schema:isPartOf":337},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jpowsour.2024.234547","10.1016\u002Fj.jpowsour.2024.234547","Multi-interest adaptive unscented Kalman filter based on improved matrix decomposition methods for lithium-ion battery state of charge estimation",[1211,1212,1213,1214],"Sijing Wang","Pan Huang","Cheng Lian","Honglai Liu",{"@type":89,"@id":1216,"schema:additionalType":91,"schema:identifier":1217,"schema:headline":1218,"schema:author":1219,"schema:datePublished":988,"schema:isPartOf":565},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.applthermaleng.2024.123421","10.1016\u002Fj.applthermaleng.2024.123421","Multiphysics integrated model of NMC111 battery module for micro-mobility applications using PCM as intercell material",[1220,1221,1222,1223],"Antonio G. Garcı́a","Javier Monsalve Serrano","Amin Dreif","Carlos Guaraco-Figueira",{"@type":89,"@id":1225,"schema:additionalType":91,"schema:identifier":1226,"schema:headline":1227,"schema:author":1228,"schema:datePublished":988,"schema:isPartOf":549},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fapp14135868","10.3390\u002Fapp14135868","Lithium Battery SoC Estimation Based on Improved Iterated Extended Kalman Filter",[1229,1230,1231,1232,1233,1234],"Xuetao Wang","Yijun Gao","Lu Dawei","Yanbo Li","Kai Du","Weiyu Liu",{"@type":89,"@id":1236,"schema:additionalType":91,"schema:identifier":1237,"schema:headline":1238,"schema:author":1239,"schema:datePublished":988,"schema:isPartOf":412},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fbatteries10060208","10.3390\u002Fbatteries10060208","State of Charge Estimation of Lithium-ion Batteries Based on Online OCV Curve Construction",[1240,1241,1242,1243],"Xuemei Wang","Ruiyun Gong","Yang Zhao","Longyun Kang",{"@type":89,"@id":1245,"schema:additionalType":91,"schema:identifier":1246,"schema:headline":1247,"schema:author":1248,"schema:datePublished":988,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2024.110573","10.1016\u002Fj.est.2024.110573","Effect of data enhancement on state-of-charge estimation of lithium-ion battery based on deep learning methods",[196,964,1249,194,1250,1250,1251,1081,1081,556],"Chen Chen","Xinjian Liu","Wei Liao",{"@type":89,"@id":1253,"schema:additionalType":91,"schema:identifier":1254,"schema:headline":1255,"schema:author":1256,"schema:datePublished":988,"schema:isPartOf":1260},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.measurement.2024.116263","10.1016\u002Fj.measurement.2024.116263","A comparative study of modeling and parameter identification for lithium-ion batteries in energy storage systems",[1257,912,1258,915,913,914,917,1259],"Yuan Fan","Guozhi Yang","Peng Wang","Measurement",{"@type":89,"@id":1262,"schema:additionalType":91,"schema:identifier":1263,"schema:headline":1264,"schema:author":1265,"schema:datePublished":988,"schema:isPartOf":1267},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.egyai.2024.100468","10.1016\u002Fj.egyai.2024.100468","Identification of cell chemistries in lithium-ion batteries: Improving the assessment for recycling and second-life",[332,333,1266,335,336],"Dominik Görick","Energy and AI",{"@type":89,"@id":1269,"schema:additionalType":91,"schema:identifier":1270,"schema:headline":1271,"schema:author":1272,"schema:datePublished":988,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2024.113392","10.1016\u002Fj.est.2024.113392","Lithium battery state of charge estimation based on improved variable forgetting factor recursive least squares method and adaptive Kalman filter joint algorithm",[1273,1274,1275],"Jinhui Zhao","Xinxin Qian","Bing Jiang",{"@type":89,"@id":1277,"schema:additionalType":91,"schema:identifier":1278,"schema:headline":1279,"schema:author":1280,"schema:datePublished":988,"schema:isPartOf":1283},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ijepes.2024.110109","10.1016\u002Fj.ijepes.2024.110109","Small signal analysis and dynamic modeling of a battery energy storage system in a DC microgrid",[1281,1282],"Rongrui Lin","Sungwoo Bae","International Journal of Electrical Power & Energy Systems",{"@type":89,"@id":1285,"schema:additionalType":91,"schema:identifier":1286,"schema:headline":1287,"schema:author":1288,"schema:datePublished":988,"schema:isPartOf":1294},"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",[1289,1290,1291,1292,1293],"Bingyang Chen","Xingjie Zeng","Chao Liu","XU Ya-fei","Heling Cao","Reliability Engineering & System Safety",{"@type":89,"@id":1296,"schema:additionalType":91,"schema:identifier":1297,"schema:headline":1298,"schema:author":1299,"schema:datePublished":988,"schema:isPartOf":820},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Faccess.2024.3389969","10.1109\u002Faccess.2024.3389969","An Improved AhI Method With Deep Learning Networks for State of Charge Estimation of Lithium-Ion Battery",[1300,1301],"W. D. Chang","Chung‐Chun Kung",{"@type":89,"@id":1303,"schema:additionalType":91,"schema:identifier":1304,"schema:headline":1305,"schema:author":1306,"schema:datePublished":988,"schema:isPartOf":820},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Faccess.2024.3490655","10.1109\u002Faccess.2024.3490655","Digital Twin Model for Lithium-Ion Battery SOC Estimation in Battery Swapping Station",[1307,1308,1309,1310,1311,1312,1313],"ruopeng wu","Ying Shi","Qin Hu","Changjun Xie","Jicheng Yu","Boyang Ma","Shengzhong Liu",{"@type":89,"@id":1315,"schema:additionalType":91,"schema:identifier":1316,"schema:headline":1317,"schema:author":1318,"schema:datePublished":988,"schema:isPartOf":820},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Faccess.2024.3517708","10.1109\u002Faccess.2024.3517708","State of Charge Prediction for Electric Loader Battery Based on Extreme Learning Machine",[1319,1320,1321,1322],"Wei Ding","Fumin Zou","Jishun Liu","Cheng Zhang",{"@type":89,"@id":1324,"schema:additionalType":91,"schema:identifier":1325,"schema:headline":1326,"schema:author":1327,"schema:datePublished":988},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fcac63892.2024.10865434","10.1109\u002Fcac63892.2024.10865434","LSTM with AhI-Model Based Kalman Filter for Lithium-ion Battery State of Charge Estimation",[1328,1329,1330,1331],"Xiangyong Luo","Lujuan Dang","Meng Yang","Badong Chen",{"@type":89,"@id":1333,"schema:additionalType":91,"schema:identifier":1334,"schema:headline":1335,"schema:author":1336,"schema:datePublished":988},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fccdc62350.2024.10588040","10.1109\u002Fccdc62350.2024.10588040","Research on Hierarchical Active Equalization Control of Series Lithium-ion Battery Pack Based on Model",[1337,1338,1339,1340],"Dongfang Li","Xiong Hou","Chao Yang","Jiaxuan Mo",{"@type":89,"@id":1342,"schema:additionalType":91,"schema:identifier":1343,"schema:headline":1344,"schema:author":1345,"schema:datePublished":988},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fecceeurope62508.2024.10752020","10.1109\u002Fecceeurope62508.2024.10752020","MPC-based Constant Temperature charging for Lithium-ion batteries",[1346,1347,1348,1349,1350,1351],"Galo D. Astudillo","Hamzeh Beiranvand","Federico Cecati","Christian Werlich","Andreas Würsig","Marco Liserre",{"@type":89,"@id":1353,"schema:additionalType":91,"schema:identifier":1354,"schema:headline":1355,"schema:author":1356,"schema:datePublished":988},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fesars-itec60450.2024.10819760","10.1109\u002Fesars-itec60450.2024.10819760","State-of-Charge, State-of-Health and State-of-Power Estimation for Traction Batteries",[1357,1358,1359,1360],"Simona Sabatino","Vito Calderaro","Vincenzo Galdi","Giuseppe Greber",{"@type":89,"@id":1362,"schema:additionalType":91,"schema:identifier":1363,"schema:headline":1364,"schema:author":1365,"schema:datePublished":988},"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",[1366,1367,1368,1369,496,498],"Yuanhua Li","Huipin Lin","Li Ping","Xinghao Zhang",{"@type":89,"@id":1371,"schema:additionalType":91,"schema:identifier":1372,"schema:headline":1373,"schema:author":1374,"schema:datePublished":988},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficmcsi61536.2024.00081","10.1109\u002Ficmcsi61536.2024.00081","Improving State of Charge Estimation for Lithium-Ion Batteries through Optimized CNN Models",[1375,1376,1377,1378,1379,1380],"Indradeep Kumar","Madhavi Dasari","Chaitanya Danamaraju","K V Bindu","Vinayagam Mohanavel","Joshuva Arockia Dhanraj",{"@type":89,"@id":1382,"schema:additionalType":91,"schema:identifier":1383,"schema:headline":1384,"schema:author":1385,"schema:datePublished":988},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficsintesa62455.2024.10747960","10.1109\u002Ficsintesa62455.2024.10747960","Performance Evaluation of Equivalent Circuit Model Parameter Extraction Methods on Lithium-Ion Battery",[1386,1387,1388],"Tri Eko Putra Manvi","Julian Permana","Prawito Prajitno",{"@type":89,"@id":1390,"schema:additionalType":91,"schema:identifier":1391,"schema:headline":1392,"schema:author":1393,"schema:datePublished":988},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fiecon55916.2024.10905666","10.1109\u002Fiecon55916.2024.10905666","Lithium-ion Battery SoC and SoE Sliding Mode Observation for Energy Storage System",[1394,1395,1396,1397],"Xuemei Zheng","Qien Li","Zongxuan Liu","Jirong Zhi",{"@type":89,"@id":1399,"schema:additionalType":91,"schema:identifier":1400,"schema:headline":1401,"schema:author":1402,"schema:datePublished":988},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fijcnn60899.2024.10650667","10.1109\u002Fijcnn60899.2024.10650667","An Extended Battery Equivalent Circuit Model for an Energy Community Real Time EMS",[1403,1404,1405,1406],"Danial Zendehdel","Antonino Capillo","Enrico De Santis","Antonello Rizzi",{"@type":89,"@id":1408,"schema:additionalType":91,"schema:identifier":1409,"schema:headline":1410,"schema:author":1411,"schema:datePublished":988},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fipemc-ecceasia60879.2024.10567102","10.1109\u002Fipemc-ecceasia60879.2024.10567102","Fault diagnosis of the lithium-ion power battery current\u002Fvoltage sensor based on a fusion diagnosis factor",[1412,1413,1414,1415],"Muyao Wu","Changpeng Tan","Yuzhao Qian","Li Wang",{"@type":89,"@id":1417,"schema:additionalType":91,"schema:identifier":1418,"schema:headline":1419,"schema:author":1420,"schema:datePublished":988},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fropec62734.2024.10877128","10.1109\u002Fropec62734.2024.10877128","Development of a Microgrid Energy Storage System based on Repurposed Li-ion Batteries",[1421,1422,1423],"Norberto Garcia","Julieta Garcia","Ivan Loaiza",{"@type":89,"@id":1425,"schema:additionalType":91,"schema:identifier":1426,"schema:headline":1427,"schema:author":1428,"schema:datePublished":988,"schema:isPartOf":1433},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftase.2024.3471253","10.1109\u002Ftase.2024.3471253","Multi-Fault Diagnosis for Series-Connected Lithium-Ion Battery Packs Based on Improved Sensor Topology and Correlation Coefficient Method",[1429,1430,1431,1432],"Yue Cao","Engang Tian","Hui Chen","Huwei Chen","IEEE Transactions on Automation Science and Engineering",{"@type":89,"@id":1435,"schema:additionalType":91,"schema:identifier":1436,"schema:headline":1437,"schema:author":1438,"schema:datePublished":988,"schema:isPartOf":938},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftim.2024.3390162","10.1109\u002Ftim.2024.3390162","State of Charge Estimation of the Lithium-Ion Power Battery Based on a Multi-Time-Scale Improved Adaptive Unscented Kalman Filter",[1412,1415,1439,1440],"Yuqing Wang","Ji Wu",{"@type":89,"@id":1442,"schema:additionalType":91,"schema:identifier":1443,"schema:headline":1444,"schema:author":1445,"schema:datePublished":988,"schema:isPartOf":967},"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",[1050,1446,1051,1447,1053,1054],"Xue Han","Chao Deng",{"@type":89,"@id":1449,"schema:additionalType":91,"schema:identifier":1450,"schema:headline":1451,"schema:author":1452,"schema:datePublished":988,"schema:isPartOf":967},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftte.2024.3473989","10.1109\u002Ftte.2024.3473989","Integrated Strategy for Optimized Charging and Balancing of Lithium-Ion Battery Packs",[1346,1347,1348,1349,1350,1351],{"@type":89,"@id":1454,"schema:additionalType":91,"schema:identifier":1455,"schema:headline":1456,"schema:author":1457,"schema:datePublished":988,"schema:isPartOf":1459},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftvt.2024.3350663","10.1109\u002Ftvt.2024.3350663","TTSNet: State-of-Charge Estimation of Li-Ion Battery in Electrical Vehicles With Temporal Transformer-Based Sequence Network",[494,499,1367,1458,497,496],"Kejie Gao","IEEE Transactions on Vehicular Technology",{"@type":89,"@id":1461,"schema:additionalType":91,"schema:identifier":1462,"schema:headline":1463,"schema:author":1464,"schema:datePublished":988,"schema:isPartOf":412},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fbatteries10110388","10.3390\u002Fbatteries10110388","State of Charge Estimation of Lithium Battery Utilizing Strong Tracking H-Infinity Filtering Algorithm",[1465,1466,1467,1468],"Tianqing Yuan","Yang Liu","Jing Bai","Hao Sun",{"@type":89,"@id":1470,"schema:additionalType":91,"schema:identifier":1471,"schema:headline":1472,"schema:author":1473,"schema:datePublished":988,"schema:isPartOf":435},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Felectronics13224412","10.3390\u002Felectronics13224412","A Novel Heuristic Algorithm Integrating Battery Digital-Twin-Based State-of-Charge Estimation for Optimized Electric Vehicle Charging",[1474,1475,1476,1477,1478,1479,1480],"Nandini G. Iyer","Sivakumar Ponnurangan","Nazar Ali Abdul Gafoor","R. S. Anand","Abderezak Lashab","Diptish Saha","Josep Maria Guerrero",{"@type":89,"@id":1482,"schema:additionalType":91,"schema:identifier":1483,"schema:headline":1484,"schema:author":1485,"schema:datePublished":988,"schema:isPartOf":435},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Felectronics13224436","10.3390\u002Felectronics13224436","Robust Estimation of Lithium Battery State of Charge with Random Missing Current Measurement Data",[1486,1487,1488,1489],"Xi Li","Zongsheng Zheng","Jinhao Meng","Qinling Wang",{"@type":89,"@id":1491,"schema:additionalType":91,"schema:identifier":1492,"schema:headline":1493,"schema:author":1494,"schema:datePublished":1500,"schema:isPartOf":1501},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.cnsns.2023.107365","10.1016\u002Fj.cnsns.2023.107365","State of charge estimation for lithium-ion batteries based on a novel complex-order model",[1495,1496,1497,527,1498,1499],"Liping Chen","Xiaobo Wu","António Mendes Lopes","Penghua Li","Ranchao Wu",2023,"Communications in Nonlinear Science and Numerical Simulation",{"@type":89,"@id":1503,"schema:additionalType":91,"schema:identifier":1504,"schema:headline":1505,"schema:author":1506,"schema:datePublished":1500,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2023.107728","10.1016\u002Fj.est.2023.107728","A NARX network optimized with an adaptive weighted square-root cubature Kalman filter for the dynamic state of charge estimation of lithium-ion batteries",[115,114,1507,1508,1509],"Hongying Zhang","Yang Xiao","Carlos Fernández",{"@type":89,"@id":1511,"schema:additionalType":91,"schema:identifier":1512,"schema:headline":1513,"schema:author":1514,"schema:datePublished":1500,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2023.108333","10.1016\u002Fj.est.2023.108333","Electric vehicle battery pack state of charge estimation using parallel artificial neural networks",[683,684,686,685],{"@type":89,"@id":1516,"schema:additionalType":91,"schema:identifier":1517,"schema:headline":1518,"schema:author":1519,"schema:datePublished":1500,"schema:isPartOf":167},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.energy.2023.127231","10.1016\u002Fj.energy.2023.127231","A hybrid probabilistic correction model for the state of charge estimation of lithium-ion batteries considering dynamic currents and temperatures",[115,114,1507,1520,1509],"Xiao Q. Yang",{"@type":89,"@id":1522,"schema:additionalType":91,"schema:identifier":1523,"schema:headline":1524,"schema:author":1525,"schema:datePublished":1500,"schema:isPartOf":1528},"https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs40031-023-00947-3","10.1007\u002Fs40031-023-00947-3","State of Charge Estimation of Lithium-Ion Batteries Using Long Short-Term Memory and Bi-directional Long Short-Term Memory Neural Networks",[1526,895,896,1527],"Kannan Madhavan Namboothiri","Sishaj P. Simon","Journal of The Institution of Engineers (India) Series B",{"@type":89,"@id":1530,"schema:additionalType":91,"schema:identifier":1531,"schema:headline":1532,"schema:author":1533,"schema:datePublished":1500,"schema:isPartOf":187},"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",[196,964,194,1251,556],{"@type":89,"@id":1535,"schema:additionalType":91,"schema:identifier":1536,"schema:headline":1537,"schema:author":1538,"schema:datePublished":1500,"schema:isPartOf":565},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.applthermaleng.2023.120685","10.1016\u002Fj.applthermaleng.2023.120685","Analysis of the aging effects on the thermal runaway characteristics of Lithium-Ion cells through stepwise reactions",[1539,1540,1221,1541],"José V. Pastor","Antonio García","Diego Golke",{"@type":89,"@id":1543,"schema:additionalType":91,"schema:identifier":1544,"schema:headline":1545,"schema:author":1546,"schema:datePublished":1500,"schema:isPartOf":1552},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jechem.2023.01.016","10.1016\u002Fj.jechem.2023.01.016","Investigation of multi-step fast charging protocol and aging mechanism for commercial NMC\u002Fgraphite lithium-ion batteries",[1547,1548,1549,1550,1551],"Yaqi Li","Jia Guo","Kjeld Pedersen","Leonid Gurevich","Daniel‐Ioan Stroe","Journal of Energy Chemistry",{"@type":89,"@id":1554,"schema:additionalType":91,"schema:identifier":1555,"schema:headline":1556,"schema:author":1557,"schema:datePublished":1500,"schema:isPartOf":1561},"https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00202-023-02064-2","10.1007\u002Fs00202-023-02064-2","Variable recursive least square algorithm for online battery equivalent circuit model parameters identification for electric vehicles",[1558,1559,1560],"Mouncеf Еl Marghichi","Azeddine Loulijat","Issam El Hantati","Electrical Engineering",{"@type":89,"@id":1563,"schema:additionalType":91,"schema:identifier":1564,"schema:headline":1565,"schema:author":1566,"schema:datePublished":1500,"schema:isPartOf":167},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.energy.2023.127233","10.1016\u002Fj.energy.2023.127233","Optimization on charging of the direct hybrid lithium-ion battery and supercapacitor for high power application through resistance balancing",[1175,1176,1141],{"@type":89,"@id":1568,"schema:additionalType":91,"schema:identifier":1569,"schema:headline":1570,"schema:author":1571,"schema:datePublished":1500,"schema:isPartOf":167},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.energy.2023.129466","10.1016\u002Fj.energy.2023.129466","Robust state-of-charge estimation method for lithium-ion batteries based on the fusion of time series relevance vector machine and filter algorithm",[592,1042,1043,1572,1044],"Xiangfei Meng",{"@type":89,"@id":1574,"schema:additionalType":91,"schema:identifier":1575,"schema:headline":1576,"schema:author":1577,"schema:datePublished":1500,"schema:isPartOf":187},"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",[1578,1579,1580,1581,1582],"Kuo Yang","Yanyu Wang","Yugui Tang","Shujing Zhang","Zhen Zhang",{"@type":89,"@id":1584,"schema:additionalType":91,"schema:identifier":1585,"schema:headline":1586,"schema:author":1587,"schema:datePublished":1500,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2023.109248","10.1016\u002Fj.est.2023.109248","State of health estimation of lithium-ion batteries based on Mixers-bidirectional temporal convolutional neural network",[1588,1589,1590,1591,1592,600],"Jingyi Gao","Dongfang Yang","Shi Wang","Zhaoting Li","Licheng Wang",{"@type":89,"@id":1594,"schema:additionalType":91,"schema:identifier":1595,"schema:headline":1596,"schema:author":1597,"schema:datePublished":1500,"schema:isPartOf":629},"https:\u002F\u002Fdoi.org\u002F10.1038\u002Fs41598-023-43858-5","10.1038\u002Fs41598-023-43858-5","Prediction of lithium-ion battery SOC based on the fusion of MHA and ConvolGRU",[1598,1599,1600,1601,1602],"Pei Tang","Jusen Hua","Pengchen Wang","Zhonghui QU","Minnan Jiang",{"@type":89,"@id":1604,"schema:additionalType":91,"schema:identifier":1605,"schema:headline":1606,"schema:author":1607,"schema:datePublished":1500,"schema:isPartOf":1612},"https:\u002F\u002Fdoi.org\u002F10.1049\u002Frpg2.12809","10.1049\u002Frpg2.12809","MDGN: Circuit design of memristor‐based denoising autoencoder and gated recurrent unit network for lithium‐ion battery state of charge estimation",[1608,1369,1609,1610,244,1611,496],"Jiayang Wang","Yifeng Han","Chun Sing Lai","Guojin Ma","IET Renewable Power Generation",{"@type":89,"@id":1614,"schema:additionalType":91,"schema:identifier":1615,"schema:headline":1616,"schema:author":1617,"schema:datePublished":1500,"schema:isPartOf":820},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Faccess.2023.3305950","10.1109\u002Faccess.2023.3305950","State-of-Charge Estimation Method for Lithium-Ion Batteries Using Extended Kalman Filter With Adaptive Battery Parameters",[1618,1619,1620,1621,1622],"Jae-Jung Yun","Yeonho Choi","Jaehyung Lee","Seong Gon Choi","Chang-Seop Shin",{"@type":89,"@id":1624,"schema:additionalType":91,"schema:identifier":1625,"schema:headline":1626,"schema:author":1627,"schema:datePublished":1500},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fccdc58219.2023.10327005","10.1109\u002Fccdc58219.2023.10327005","Calculation of the maximum transmit power of the fractional order equivalent circuit for lithium-ion batteries",[1628,1496,1629,1630,1631,1495],"Min Xue","Zhenwei Lai","Jiyu Ding","Chuang Liu",{"@type":89,"@id":1633,"schema:additionalType":91,"schema:identifier":1634,"schema:headline":1635,"schema:author":1636,"schema:datePublished":1500},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fccdc58219.2023.10327034","10.1109\u002Fccdc58219.2023.10327034","A Canonical Correlation Analysis-Based Approach for Battery State of Charge Estimation",[1637,1638],"Zichuan Ni","Ying Zhen Yang",{"@type":89,"@id":1640,"schema:additionalType":91,"schema:identifier":1641,"schema:headline":1642,"schema:author":1643,"schema:datePublished":1500},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fipec57296.2023.00042","10.1109\u002Fipec57296.2023.00042","State of Charge Estimation for Lithium Battery Via Attention and LSTM Algorithm",[1644,1645],"Xueguang Li","Menchita F. Dumlao",{"@type":89,"@id":1647,"schema:additionalType":91,"schema:identifier":1648,"schema:headline":1649,"schema:author":1650,"schema:datePublished":1500,"schema:isPartOf":1653},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fjsen.2023.3341857","10.1109\u002Fjsen.2023.3341857","A Correlation-Augmented Informer-Based Method for State-of-Health Estimation of Li-Ion Batteries",[496,1651,494,1652,497],"Handan Shen","Yingqi Deng","IEEE Sensors Journal",{"@type":89,"@id":1655,"schema:additionalType":91,"schema:identifier":1656,"schema:headline":1657,"schema:author":1658,"schema:datePublished":1500},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fscored60679.2023.10563702","10.1109\u002Fscored60679.2023.10563702","Comparative Study of Recurrent Neural Networks for Electric Vehicle Battery State of Charge Estimation",[1659,683,686,684],"Choong Ting Hui",{"@type":89,"@id":1661,"schema:additionalType":91,"schema:identifier":1662,"schema:headline":1663,"schema:author":1664,"schema:datePublished":1500},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fsrse59585.2023.10336124","10.1109\u002Fsrse59585.2023.10336124","Charging Optimization Strategy of the Lithium-ion Power Battery Based on the Step Generalized Predictive Control",[1412,1439,1413,1415],{"@type":89,"@id":1666,"schema:additionalType":91,"schema:identifier":1667,"schema:headline":1668,"schema:author":1669,"schema:datePublished":1500},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fstpec59253.2023.10430817","10.1109\u002Fstpec59253.2023.10430817","Continuous Wavelet Transform based CNN Model for EV Battery State of Charge Estimation",[1670,1671,1672],"Prasanta Kumar Mohanty","Premalata Jena","Narayana Prasad Padhy",{"@type":89,"@id":1674,"schema:additionalType":91,"schema:identifier":1675,"schema:headline":1676,"schema:author":1677,"schema:datePublished":1500,"schema:isPartOf":967},"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",[1678,1679,1680,1681,1682],"Liyuan Shen","Jingjing Li","Lichao Meng","Lei Zhu","Heng Tao Shen",{"@type":89,"@id":1684,"schema:additionalType":91,"schema:identifier":1685,"schema:headline":1686,"schema:author":1687,"schema:datePublished":1500,"schema:isPartOf":1459},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftvt.2023.3267500","10.1109\u002Ftvt.2023.3267500","An RNN With Small Sequence Trained by Multi-Level Optimization for SOC Estimation in Li-Ion Battery Applications",[692,693,694,1688,1689,1690],"Li Zhong Jiang","Jianghu Wan","Christian Rehtanz",{"@type":89,"@id":1692,"schema:additionalType":91,"schema:identifier":1693,"schema:headline":1694,"schema:author":1695,"schema:datePublished":1500,"schema:isPartOf":1696},"https:\u002F\u002Fdoi.org\u002F10.21203\u002Frs.3.rs-3027715\u002Fv1","10.21203\u002Frs.3.rs-3027715\u002Fv1","Prediction of Lithium-ion Battery SOC Based on the Fusion of MHA and ConvolGRU",[1598,1599,1600,1601,1602],"Research Square",{"@type":89,"@id":1698,"schema:additionalType":91,"schema:identifier":1699,"schema:headline":1700,"schema:author":1701,"schema:datePublished":1500},"https:\u002F\u002Fdoi.org\u002F10.23919\u002Fccc58697.2023.10240550","10.23919\u002Fccc58697.2023.10240550","SOC Estimation of Lithium Battery Based on Improved Multi-Innovation Cubature Kalman Considering Temperature Effect",[1702,1703,1704,1705],"Kangwei Gu","Youhong Wan","Jiahua Zou","Junjie Wei",{"@type":89,"@id":1707,"schema:additionalType":91,"schema:identifier":1708,"schema:headline":1709,"schema:author":1710,"schema:datePublished":1500,"schema:isPartOf":412},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fbatteries9040213","10.3390\u002Fbatteries9040213","Fractional-Order Sliding-Mode Observers for the Estimation of State-of-Charge and State-of-Health of Lithium Batteries",[1711,1712,1713,1714,1715,1716,1717,1718],"Minghao Zhou","Kemeng Wei","Xiaogang Wu","Ling Weng","Hongyu Su","Dong Wang","Yuanke Zhang","Jialin Li",{"@type":89,"@id":1720,"schema:additionalType":91,"schema:identifier":1721,"schema:headline":1722,"schema:author":1723,"schema:datePublished":1500,"schema:isPartOf":412},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fbatteries9070358","10.3390\u002Fbatteries9070358","State of Charge Estimation for Lithium-Ion Battery Based on Unscented Kalman Filter and Long Short-Term Memory Neural Network",[1103,1102,1101],{"@type":89,"@id":1725,"schema:additionalType":91,"schema:identifier":1726,"schema:headline":1727,"schema:author":1728,"schema:datePublished":1500,"schema:isPartOf":453},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fen16155608","10.3390\u002Fen16155608","An Intermodular Active Balancing Topology for Efficient Operation of High Voltage Battery Packs in Li-Ion Based Energy Storage Systems: Switched (Flying) DC\u002FDC Converter",[1729,1730],"Murat Ceylan","Abdulkadir Balıkçı",{"@type":89,"@id":1732,"schema:additionalType":91,"schema:identifier":1733,"schema:headline":1734,"schema:author":1735,"schema:datePublished":1500,"schema:isPartOf":475},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fmath11153401","10.3390\u002Fmath11153401","Lithium-Ion Battery Modeling and State of Charge Prediction Based on Fractional-Order Calculus",[1736,1737,1738,1739],"Xinfeng Zhang","Xiangjun Li","Kaikai Yang","Zhongyi Wang",{"@type":89,"@id":1741,"schema:additionalType":91,"schema:identifier":1742,"schema:headline":1743,"schema:author":1744,"schema:datePublished":1500,"schema:isPartOf":1747},"https:\u002F\u002Fdoi.org\u002F10.48550\u002Farxiv.2309.03607","10.48550\u002Farxiv.2309.03607","Your Battery Is a Blast! Safeguarding Against Counterfeit Batteries with Authentication",[1745,1746],"Francesco Marchiori","Mauro Conti","arXiv (Cornell University)",{"@type":89,"@id":1749,"schema:additionalType":91,"schema:identifier":1750,"schema:headline":1751,"schema:author":1752,"schema:datePublished":1755,"schema:isPartOf":1756},"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",[1050,1053,1753,1754],"Jie Liu","Enrico Zio",2022,"Applied Soft Computing",{"@type":89,"@id":1758,"schema:additionalType":91,"schema:identifier":1759,"schema:headline":1760,"schema:author":1761,"schema:datePublished":1755,"schema:isPartOf":1764},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.dsp.2022.103780","10.1016\u002Fj.dsp.2022.103780","Improved unscented Kalman filter for state of charge estimation of lithium-ion battery with one-step randomly measurement loss and inaccurate noise covariance matrices",[1762,1487,1763,946],"Yuze Tong","Wenli Fan","Digital Signal Processing",{"@type":89,"@id":1766,"schema:additionalType":91,"schema:identifier":1767,"schema:headline":1768,"schema:author":1769,"schema:datePublished":1755,"schema:isPartOf":167},"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",[706,1770,1771],"Zhenhang Chen","Wei Zhang",{"@type":89,"@id":1773,"schema:additionalType":91,"schema:identifier":1774,"schema:headline":1775,"schema:author":1776,"schema:datePublished":1755,"schema:isPartOf":167},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.energy.2022.123972","10.1016\u002Fj.energy.2022.123972","Adaptive state-of-charge estimation of lithium-ion batteries based on square-root unscented Kalman filter",[1495,1496,1497,1777,1498],"Lisheng Yin",{"@type":89,"@id":1779,"schema:additionalType":91,"schema:identifier":1780,"schema:headline":1781,"schema:author":1782,"schema:datePublished":1755,"schema:isPartOf":167},"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",[1637,1783,1638],"Xianchao Xiu",{"@type":89,"@id":1785,"schema:additionalType":91,"schema:identifier":1786,"schema:headline":1787,"schema:author":1788,"schema:datePublished":1755,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2022.104472","10.1016\u002Fj.est.2022.104472","State of charge estimation of Power lithium-ion battery based on an Affine Iterative Adaptive Extended Kalman Filter",[1412,1789,1790],"Linlin Qin","Gang Wu",{"@type":89,"@id":1792,"schema:additionalType":91,"schema:identifier":1793,"schema:headline":1794,"schema:author":1795,"schema:datePublished":1755,"schema:isPartOf":187},"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",[683,686,685,684],{"@type":89,"@id":1797,"schema:additionalType":91,"schema:identifier":1798,"schema:headline":1799,"schema:author":1800,"schema:datePublished":1755,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2022.105825","10.1016\u002Fj.est.2022.105825","State of charge estimation of lithium-ion batteries with non-negligible outlier observations based on Student’s-T filter",[184,185,1801],"Weipeng Shi",{"@type":89,"@id":1803,"schema:additionalType":91,"schema:identifier":1804,"schema:headline":1805,"schema:author":1806,"schema:datePublished":1755,"schema:isPartOf":1814},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.eswa.2022.117192","10.1016\u002Fj.eswa.2022.117192","Cooperative co-evolutionary differential evolution algorithm applied for parameters identification of lithium-ion batteries",[1807,1808,1809,1810,1811,1812,1813],"Chuan  Xi Wang","Minyi Xu","Qinjin Zhang","Ruizheng Jiang","Jinhong Feng","Yi Wei","Yancheng Liu","Expert Systems with Applications",{"@type":89,"@id":1816,"schema:additionalType":91,"schema:identifier":1817,"schema:headline":1818,"schema:author":1819,"schema:datePublished":1755,"schema:isPartOf":1528},"https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs40031-022-00848-x","10.1007\u002Fs40031-022-00848-x","State of Charge Estimation of Lithium-Ion Batteries Employing Deep Neural Network with Variable Learning Rate",[1526,895,896,1527],{"@type":89,"@id":1821,"schema:additionalType":91,"schema:identifier":1822,"schema:headline":1823,"schema:author":1824,"schema:datePublished":1755,"schema:isPartOf":1829},"https:\u002F\u002Fdoi.org\u002F10.1002\u002Fer.8136","10.1002\u002Fer.8136","Design and optimization of a novel reverse layered air‐cooling battery management system using U and Z type flow patterns",[1825,1826,1827,1828,497],"Xin Lan","Xiangrui Li","Shaobo Ji","Chunyu Gao","International Journal of Energy Research",{"@type":89,"@id":1831,"schema:additionalType":91,"schema:identifier":1832,"schema:headline":1833,"schema:author":1834,"schema:datePublished":1755,"schema:isPartOf":1837},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fwevj14010008","10.3390\u002Fwevj14010008","State of Charge Estimation for Power Battery Base on Improved Particle Filter",[1835,1836,1415,1440],"Xingtao Liu","Xiaojie Fan","World Electric Vehicle Journal",{"@type":89,"@id":1839,"schema:additionalType":91,"schema:identifier":1840,"schema:headline":1841,"schema:author":1842,"schema:datePublished":1755,"schema:isPartOf":1849},"https:\u002F\u002Fdoi.org\u002F10.1007\u002F978-3-030-93479-8_17","10.1007\u002F978-3-030-93479-8_17","Accurate Estimation on the State-of-Charge of Lithium-Ion Battery Packs",[1843,1844,1845,1846,1847,1848],"Mengying Chen","Fengling Han","Long Xing Shi","Yong Feng","Chen Xue","Chaojie Li","Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering",{"@type":89,"@id":1851,"schema:additionalType":91,"schema:identifier":1852,"schema:headline":1853,"schema:author":1854,"schema:datePublished":1755,"schema:isPartOf":453},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fen15093115","10.3390\u002Fen15093115","A Novel Data-Driven Estimation Method for State-of-Charge Estimation of Li-Ion Batteries",[1855,1856,1857,1858],"Suwei Zhai","Wenyun Li","Cheng Wang","Yundi Chu",{"@type":89,"@id":1860,"schema:additionalType":91,"schema:identifier":1861,"schema:headline":1862,"schema:author":1863,"schema:datePublished":1755,"schema:isPartOf":1867},"https:\u002F\u002Fdoi.org\u002F10.3389\u002Ffenrg.2022.938467","10.3389\u002Ffenrg.2022.938467","State of Charge Estimation for Lithium-Ion Batteries Using Simple Recurrent Units and Unscented Kalman Filter",[623,1369,497,1864,1865,496,1866],"Chunxiang Zhu","Wenlong Song","Yining Song","Frontiers in Energy Research",{"@type":89,"@id":1869,"schema:additionalType":91,"schema:identifier":1870,"schema:headline":1871,"schema:author":1872,"schema:datePublished":1755,"schema:isPartOf":453},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fen15082853","10.3390\u002Fen15082853","State of Charge Centralized Estimation of Road Condition Information Based on Fuzzy Sunday Algorithm",[1873,1874,1875,1876,1877,1878],"Jingwei Hu","Bing C. Lin","Mingfen Wang","Jie Zhang","Wenliang Zhang","Yu Dong Lu",{"@type":89,"@id":1880,"schema:additionalType":91,"schema:identifier":1881,"schema:headline":1882,"schema:author":1883,"schema:datePublished":1755,"schema:isPartOf":187},"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",[1884,1885,1886,1887,1888,1889],"Runmin Zou","Yuxin Duan","Yun Wang","Jiameng Pang","Fulin Liu","Shakil Rehman Sheikh",{"@type":89,"@id":1891,"schema:additionalType":91,"schema:identifier":1892,"schema:headline":1893,"schema:author":1894,"schema:datePublished":1755,"schema:isPartOf":337},"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",[1895,1282],"Daeung Jeong",{"@type":89,"@id":1897,"schema:additionalType":91,"schema:identifier":1898,"schema:headline":1899,"schema:author":1900,"schema:datePublished":1755,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2022.106462","10.1016\u002Fj.est.2022.106462","An improved parameter identification method considering multi-timescale characteristics of lithium-ion batteries",[1242,1240],{"@type":89,"@id":1902,"schema:additionalType":91,"schema:identifier":1903,"schema:headline":1904,"schema:author":1905,"schema:datePublished":1755,"schema:isPartOf":1907},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.enconman.2022.116530","10.1016\u002Fj.enconman.2022.116530","Energy assessment of the ageing phenomenon in Li-Ion batteries and its impact on the vehicle range efficiency",[1540,1221,1906,1541],"Santiago Martínez-Boggio","Energy Conversion and Management",{"@type":89,"@id":1909,"schema:additionalType":91,"schema:identifier":1910,"schema:headline":1911,"schema:author":1912,"schema:datePublished":1755,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2022.106481","10.1016\u002Fj.est.2022.106481","Estimation of battery internal resistance using built-in self-scaling method",[1913,1914,1915],"Ai Hui Tan","Duu Sheng Ong","Mathias Fui Lin Foo",{"@type":89,"@id":1917,"schema:additionalType":91,"schema:identifier":1918,"schema:headline":1919,"schema:author":1920,"schema:datePublished":1755,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2022.106488","10.1016\u002Fj.est.2022.106488","Probabilistic dischargeable time forecasting of power batteries via statistical characterization of future loading profiles",[1921,1922,1923,1924],"Guangzhong Dong","Yuyao Feng","Yifei Wang","Jingwen Wei",{"@type":89,"@id":1926,"schema:additionalType":91,"schema:identifier":1927,"schema:headline":1928,"schema:author":1929,"schema:datePublished":1755,"schema:isPartOf":1501},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.cnsns.2022.107059","10.1016\u002Fj.cnsns.2022.107059","State-of-charge estimation for lithium-ion batteries based on incommensurate fractional-order observer",[1495,1930,1497,1499,1498,1777],"Wenliang Guo",{"@type":89,"@id":1932,"schema:additionalType":91,"schema:identifier":1933,"schema:headline":1934,"schema:author":1935,"schema:datePublished":1755,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2022.106432","10.1016\u002Fj.est.2022.106432","Model parameter identification for lithium-ion batteries using adaptive multi-context cooperatively co-evolutionary parallel differential evolution algorithm",[1936,1937,1937,1938,1938,997],"Ruoli Tang","Shihan Zhang","Shangyu Zhang",{"@type":89,"@id":1940,"schema:additionalType":91,"schema:identifier":1941,"schema:headline":1942,"schema:author":1943,"schema:datePublished":1755,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2022.106183","10.1016\u002Fj.est.2022.106183","Research on active state of charge balance of battery pack based on two controllable flyback converters",[184,185,1801,186],{"@type":89,"@id":1945,"schema:additionalType":91,"schema:identifier":1946,"schema:headline":1947,"schema:author":1948,"schema:datePublished":1755,"schema:isPartOf":820},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Faccess.2022.3149617","10.1109\u002Faccess.2022.3149617","A Novel Modal Representation of Battery Dynamics",[1949,1950,1951,1952,1953,1954,1955],"Khaled I. Alsharif","Alexander H. Pesch","Vamsi Borra","Frank X. Li","Pedro Henrique Côrtes","Eric W. MacDonald","Kyosung Choo",{"@type":89,"@id":1957,"schema:additionalType":91,"schema:identifier":1958,"schema:headline":1959,"schema:author":1960,"schema:datePublished":1755,"schema:isPartOf":1962},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Facfpe56003.2022.9952275","10.1109\u002Facfpe56003.2022.9952275","A MSTUKF-based Technique for SOC Estimation of Li-ion Batteries for Electric Vehicles",[1961,778],"Bingxin Wu","2022 Asian Conference on Frontiers of Power and Energy (ACFPE)",{"@type":89,"@id":1964,"schema:additionalType":91,"schema:identifier":1965,"schema:headline":1966,"schema:author":1967,"schema:datePublished":1755,"schema:isPartOf":1970},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fddcls55054.2022.9858424","10.1109\u002Fddcls55054.2022.9858424","Data-driven Unscented Kalman Filter for State of Charge Estimation of Li-ion Batteries",[1968,1102,1969],"Huiqin Xu","Meijuan Yu","2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS)",{"@type":89,"@id":1972,"schema:additionalType":91,"schema:identifier":1973,"schema:headline":1974,"schema:author":1975,"schema:datePublished":1755},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficstcee56972.2022.10100238","10.1109\u002Ficstcee56972.2022.10100238","Electrical Equivalent Circuit Modeling of Lithium-Ion Battery",[1976,1977,1978,1979],"Bansilal Bairwa","Kapil Pareek","K A Manohar","Nanditha Varshini E",{"@type":89,"@id":1981,"schema:additionalType":91,"schema:identifier":1982,"schema:headline":1983,"schema:author":1984,"schema:datePublished":1755,"schema:isPartOf":1987},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Findicon56171.2022.10039759","10.1109\u002Findicon56171.2022.10039759","Unified Approach for Estimation of State of Charge and Remaining Useful Life of Li-Ion batteries using Deep Learning",[1985,1986],"Bharat Mullapudi","R. Shanmughasundaram","2022 IEEE 19th India Council International Conference (INDICON)",{"@type":89,"@id":1989,"schema:additionalType":91,"schema:identifier":1990,"schema:headline":1991,"schema:author":1992,"schema:datePublished":1755},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fitec53557.2022.9813768","10.1109\u002Fitec53557.2022.9813768","Assessing Degradation-Aware Model Predictive Control for Energy Management of a Grid-Connected PV-Battery Microgrid",[1993,1994],"Alan Gen Li","Matthias Preindl",{"@type":89,"@id":1996,"schema:additionalType":91,"schema:identifier":1997,"schema:headline":1998,"schema:author":1999,"schema:datePublished":1755,"schema:isPartOf":2003},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fmysurucon55714.2022.9972449","10.1109\u002Fmysurucon55714.2022.9972449","Online State of Charge(SOC) estimation of Lithium-Ion battery using Improved Extended Kalman Filter",[2000,2001,2002],"Shivaji Ganapati Chikkalkar","M Naveen Kumar","R. Chidanandappa","2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon)",{"@type":89,"@id":2005,"schema:additionalType":91,"schema:identifier":2006,"schema:headline":2007,"schema:author":2008,"schema:datePublished":1755,"schema:isPartOf":2012},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fssd54932.2022.9955959","10.1109\u002Fssd54932.2022.9955959","Modeling of Lithium-ion battery open-circuit voltage using incremental and low current test",[2009,2010,2011],"Djamila Abbas","Brahim Boulebtateche","Mohamed Mourad Lafifi","2022 19th International Multi-Conference on Systems, Signals & Devices (SSD)",{"@type":89,"@id":2014,"schema:additionalType":91,"schema:identifier":2015,"schema:headline":2016,"schema:author":2017,"schema:datePublished":1755,"schema:isPartOf":1433},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftase.2022.3222759","10.1109\u002Ftase.2022.3222759","Uncorrelated Sparse Autoencoder With Long Short-Term Memory for State-of-Charge Estimations in Lithium-Ion Battery Cells",[2018,2019,2020,2021],"Mayuresh Savargaonkar","Isaiah Oyewole","Abdallah Chehade","Ala Al-Haj Hussein",{"@type":89,"@id":2023,"schema:additionalType":91,"schema:identifier":2024,"schema:headline":2025,"schema:author":2026,"schema:datePublished":1755,"schema:isPartOf":402},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftia.2022.3170842","10.1109\u002Ftia.2022.3170842","A Novel Neural Network With Gaussian Process Feedback for Modeling the State-of-Charge of Battery Cells",[2018,2020,2021],{"@type":89,"@id":2028,"schema:additionalType":91,"schema:identifier":2029,"schema:headline":2030,"schema:author":2031,"schema:datePublished":1755,"schema:isPartOf":2036},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fyac57282.2022.10023738","10.1109\u002Fyac57282.2022.10023738","Model Parameter Identification for Lithium-ion Batteries Based on Fractional Hybrid Genetic-Particle Swarm Optimization Method",[2032,2033,2034,1496,1495,2035],"Guangya Zhang","Hao Han","Kaixuan Chen","Kehan Wu","2022 37th Youth Academic Annual Conference of Chinese Association of Automation (YAC)",{"@type":89,"@id":2038,"schema:additionalType":91,"schema:identifier":2039,"schema:headline":2040,"schema:author":2041,"schema:datePublished":1755,"schema:isPartOf":453},"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",[2042,2043,2044],"Biao Yang","Yinshuang Wang","Yuedong Zhan",{"@type":89,"@id":2046,"schema:additionalType":91,"schema:identifier":2047,"schema:headline":2048,"schema:author":2049,"schema:datePublished":1755,"schema:isPartOf":2052},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Ffractalfract6020052","10.3390\u002Ffractalfract6020052","State-of-Charge Estimation of Lithium-Ion Batteries Based on Fractional-Order Square-Root Unscented Kalman Filter",[1495,1496,2050,1497,1498,2051],"J. A. Tenreiro Machado","Xueping Dong","Fractal and Fractional",{"@type":89,"@id":2054,"schema:additionalType":91,"schema:identifier":2055,"schema:headline":2056,"schema:author":2057,"schema:datePublished":1755,"schema:isPartOf":475},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fmath10173056","10.3390\u002Fmath10173056","Parameter Identification for Lithium-Ion Battery Based on Hybrid Genetic–Fractional Beetle Swarm Optimization Method",[2058,1496,1497,2059,2060,1495],"Peng Guo","Anyu Cheng","Yang Xu",{"@type":89,"@id":2062,"schema:additionalType":91,"schema:identifier":2063,"schema:headline":2064,"schema:author":2065,"schema:datePublished":1755,"schema:isPartOf":1837},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fwevj13050080","10.3390\u002Fwevj13050080","Applications of Battery Management System (BMS) in Sustainable Transportation: A Comprehensive Approach from Battery Modeling to Battery Integration to the Power Grid",[2066,2067,2068,1976],"B S Sagar","Santoshkumar Hampannavar","B Deepa",{"@type":89,"@id":2070,"schema:additionalType":91,"schema:identifier":2071,"schema:headline":2072,"schema:author":2073,"schema:datePublished":2074,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002FJ.EST.2021.102535","10.1016\u002Fj.est.2021.102535","State of charge estimation of power lithium-ion battery based on an adaptive time scale dual extend Kalman filtering",[1412,1789,1790],2021,{"@type":89,"@id":2076,"schema:additionalType":91,"schema:identifier":2077,"schema:headline":2078,"schema:author":2079,"schema:datePublished":2074,"schema:isPartOf":337},"https:\u002F\u002Fdoi.org\u002F10.1016\u002FJ.JPOWSOUR.2021.230340","10.1016\u002Fj.jpowsour.2021.230340","Alleviation on battery thermal runaway propagation: Effects of oxygen level and dilution gas",[2080,2081,447,2082,2083,2084,2085],"Jingwen Weng","Dongxu Ouyang","Mingyi Chen","Yaping Li","Xinyan Huang","Jian Wang",{"@type":89,"@id":2087,"schema:additionalType":91,"schema:identifier":2088,"schema:headline":2089,"schema:author":2090,"schema:datePublished":2074,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2021.102841","10.1016\u002Fj.est.2021.102841","State of Charge Estimation of Power Lithium-ion Battery Based on a Variable Forgetting Factor Adaptive Kalman Filter",[1412,1789,1790,2091,2092],"Yusha Huang","Chun Shi",{"@type":89,"@id":2094,"schema:additionalType":91,"schema:identifier":2095,"schema:headline":2096,"schema:author":2097,"schema:datePublished":2074,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2021.103070","10.1016\u002Fj.est.2021.103070","State of charge estimation of Lithium-ion batteries based on the probabilistic fusion of two kinds of cubature Kalman filters",[2098,2099,2100,2101],"Long Ling","Daoming Sun","Xiaoli Yu","Rui Ning Huang",{"@type":89,"@id":2103,"schema:additionalType":91,"schema:identifier":2104,"schema:headline":2105,"schema:author":2106,"schema:datePublished":2074,"schema:isPartOf":1561},"https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs00202-021-01358-7","10.1007\u002Fs00202-021-01358-7","Adaptive robust unscented Kalman filter with recursive least square for state of charge estimation of batteries",[2107],"Ramazan Havangi",{"@type":89,"@id":2109,"schema:additionalType":91,"schema:identifier":2110,"schema:headline":2111,"schema:author":2112,"schema:datePublished":2074,"schema:isPartOf":1829},"https:\u002F\u002Fdoi.org\u002F10.1002\u002Fer.7081","10.1002\u002Fer.7081","Overcoming limited battery data challenges: A coupled neural network approach",[2113,2114,2115],"Aniruddh Herle","Janamejaya Channegowda","Dinakar Prabhu",{"@type":89,"@id":2117,"schema:additionalType":91,"schema:identifier":2118,"schema:headline":2119,"schema:author":2120,"schema:datePublished":2074,"schema:isPartOf":2126},"https:\u002F\u002Fdoi.org\u002F10.1002\u002Fbatt.202100292","10.1002\u002Fbatt.202100292","Development of Small‐Scale Monitoring and Modeling Strategies for Safe Lithium‐Ion Batteries",[2121,2122,2123,2124,2125],"Yawen Zhang","Peng Chen","Tianyi Wang","Dawei Su","Chengyin Wang","Batteries & Supercaps",{"@type":89,"@id":2128,"schema:additionalType":91,"schema:identifier":2129,"schema:headline":2130,"schema:author":2131,"schema:datePublished":2074,"schema:isPartOf":1829},"https:\u002F\u002Fdoi.org\u002F10.1002\u002Fer.7401","10.1002\u002Fer.7401","A noise‐immune model identification method for lithium‐ion battery using two‐swarm cooperative particle swarm optimization algorithm based on adaptive dynamic sliding window",[2132,2133,2134,2135],"Yongjie Zhu","Jiajun Chen","Ling Mao","Jinbin Zhao",{"@type":89,"@id":2137,"schema:additionalType":91,"schema:identifier":2138,"schema:headline":2139,"schema:author":2140,"schema:datePublished":2074,"schema:isPartOf":2143},"https:\u002F\u002Fdoi.org\u002F10.1002\u002Fadts.202100258","10.1002\u002Fadts.202100258","Estimation of State of Charge and State of Health of Lithium‐Ion Batteries Based on a New Adaptive Nonlinear Observer",[2141,2142],"Rajakumar Sakile","Umesh Kumar Sinha","Advanced Theory and Simulations",{"@type":89,"@id":2145,"schema:additionalType":91,"schema:identifier":2146,"schema:headline":2147,"schema:author":2148,"schema:datePublished":2074,"schema:isPartOf":412},"https:\u002F\u002Fdoi.org\u002F10.3390\u002FBATTERIES7010017","10.3390\u002Fbatteries7010017","State-of-Charge Monitoring and Battery Diagnosis of Different Lithium Ion Chemistries Using Impedance Spectroscopy",[2149,2150],"Peter R. Kurzweil","Wolfgang Scheuerpflug",{"@type":89,"@id":2152,"schema:additionalType":91,"schema:identifier":2153,"schema:headline":2154,"schema:author":2155,"schema:datePublished":2074,"schema:isPartOf":2052},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Ffractalfract5030091","10.3390\u002Ffractalfract5030091","State of Charge Estimation of Lithium-Ion Batteries Based on Fuzzy Fractional-Order Unscented Kalman Filter",[1495,2156,1497,2157,1499],"Yu Chen","Huifang Kong",{"@type":89,"@id":2159,"schema:additionalType":91,"schema:identifier":2160,"schema:headline":2161,"schema:author":2162,"schema:datePublished":2074,"schema:isPartOf":453},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fen14217386","10.3390\u002Fen14217386","A Physically Inspired Equivalent Neural Network Circuit Model for SoC Estimation of Electrochemical Cells",[2163,2164,1406,2165],"Stefano Leonori","Luca Baldini","Fabio Massimo Frattale Mascioli",{"@type":89,"@id":2167,"schema:additionalType":91,"schema:identifier":2168,"schema:headline":2169,"schema:author":2170,"schema:datePublished":2074,"schema:isPartOf":565},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.applthermaleng.2021.117884","10.1016\u002Fj.applthermaleng.2021.117884","Thermal runaway evaluation and thermal performance enhancement of a lithium-ion battery coupling cooling system and battery sub-models",[1540,1221,2171,1906],"Rafael Lago Sari",{"@type":89,"@id":2173,"schema:additionalType":91,"schema:identifier":2174,"schema:headline":2175,"schema:author":2176,"schema:datePublished":2074,"schema:isPartOf":167},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.energy.2021.122406","10.1016\u002Fj.energy.2021.122406","Noise immune state of charge estimation of li-ion battery via the extreme learning machine with mixture generalized maximum correntropy criterion",[2177,2178,2179,2180,2181,2182],"Xiaofei Wang","Quan Sun","Xiao Kou","Wentao Ma","Hong Zhang","Rui Liu",{"@type":89,"@id":2184,"schema:additionalType":91,"schema:identifier":2185,"schema:headline":2186,"schema:author":2187,"schema:datePublished":2074,"schema:isPartOf":2188},"https:\u002F\u002Fdoi.org\u002F10.1002\u002Fest2.231","10.1002\u002Fest2.231","Investigation on lithium ion battery equivalent circuit models for dynamic load profiles",[1976,1977,2067],"Energy Storage",{"@type":89,"@id":2190,"schema:additionalType":91,"schema:identifier":2191,"schema:headline":2192,"schema:author":2193,"schema:datePublished":2074,"schema:isPartOf":820},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Faccess.2021.3049944","10.1109\u002Faccess.2021.3049944","An Improved Bidirectional Gated Recurrent Unit Method for Accurate State-of-Charge Estimation",[623,244,1367,497,2194,2195,2196,496],"Minghao Wang","Yufei He","Xiang Gao",{"@type":89,"@id":2198,"schema:additionalType":91,"schema:identifier":2199,"schema:headline":2200,"schema:author":2201,"schema:datePublished":2074,"schema:isPartOf":820},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Faccess.2021.3068813","10.1109\u002Faccess.2021.3068813","State-of-Charge and State-of-Health Estimation for Lithium-Ion Batteries Based on Dual Fractional-Order Extended Kalman Filter and Online Parameter Identification",[2202,661],"Liuyi Ling",{"@type":89,"@id":2204,"schema:additionalType":91,"schema:identifier":2205,"schema:headline":2206,"schema:author":2207,"schema:datePublished":2074,"schema:isPartOf":820},"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",[2208,2209,2210,2211,2212,2213,2214,2215,2216,2217,2218,2219],"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":89,"@id":2221,"schema:additionalType":91,"schema:identifier":2222,"schema:headline":2223,"schema:author":2224,"schema:datePublished":2074},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficpsasia52756.2021.9621560","10.1109\u002Ficpsasia52756.2021.9621560","A Voltage Sensor Fault Diagnosis Method Based on Long Short-Term Memory Neural Networks for Battery Energy Storage System",[2225,2226,2227],"Changjiang Wan","Quanqing Yu","Jianming Li",{"@type":89,"@id":2229,"schema:additionalType":91,"schema:identifier":2230,"schema:headline":2231,"schema:author":2232,"schema:datePublished":2074},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fitec51675.2021.9490081","10.1109\u002Fitec51675.2021.9490081","Battery Voltage Prediction Using Neural Networks",[2233,2234,2235],"Di Zhu","Jeffrey Joseph Campbell","Gyouho Cho",{"@type":89,"@id":2237,"schema:additionalType":91,"schema:identifier":2238,"schema:headline":2239,"schema:author":2240,"schema:datePublished":2074,"schema:isPartOf":402},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftia.2021.3065194","10.1109\u002Ftia.2021.3065194","State-of-Charge Estimation of Li-ion Battery Using Gated Recurrent Unit With One-Cycle Learning Rate Policy",[2241,2242,2243,2244,2245,2246],"M. A. Hannan","Dickson N. T. How","Muhamad Mansor","Molla Shahadat Hossain Lipu","Pin Jern Ker","Kashem Mohammad Muttaqi",{"@type":89,"@id":2248,"schema:additionalType":91,"schema:identifier":2249,"schema:headline":2250,"schema:author":2251,"schema:datePublished":2255,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2020.101838","10.1016\u002Fj.est.2020.101838","Adaptive state of charge estimation for lithium-ion batteries based on implementable fractional-order technology",[2252,1102,2253,2254],"Shizhong Li","Daduan Zhao","Chenghui Zhang",2020,{"@type":89,"@id":2257,"schema:additionalType":91,"schema:identifier":2258,"schema:headline":2259,"schema:author":2260,"schema:datePublished":2255,"schema:isPartOf":337},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jpowsour.2020.228375","10.1016\u002Fj.jpowsour.2020.228375","State of charge estimation of lithium-ion batteries using hybrid autoencoder and Long Short Term Memory neural networks",[2261,2262],"Mohammad Fasahat","Mohammad Manthouri",{"@type":89,"@id":2264,"schema:additionalType":91,"schema:identifier":2265,"schema:headline":2266,"schema:author":2267,"schema:datePublished":2255,"schema:isPartOf":337},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.jpowsour.2020.228691","10.1016\u002Fj.jpowsour.2020.228691","Robust state of charge estimation based on a sequence-to-sequence mapping model with process information",[2268,2269,2270,2271,2272,2273,2274],"Liang Ma","Zili Wang","Fan Yang","Yujie Cheng","Chen Lü","Laifa Tao","Taotao Zhou",{"@type":89,"@id":2276,"schema:additionalType":91,"schema:identifier":2277,"schema:headline":2278,"schema:author":2279,"schema:datePublished":2255,"schema:isPartOf":1829},"https:\u002F\u002Fdoi.org\u002F10.1002\u002Fer.5690","10.1002\u002Fer.5690","State of charge estimation for lithium‐ion battery based on an intelligent adaptive unscented Kalman filter",[2099,2100,1322,2280,2101],"Chongmin Wang",{"@type":89,"@id":2282,"schema:additionalType":91,"schema:identifier":2283,"schema:headline":2284,"schema:author":2285,"schema:datePublished":2255,"schema:isPartOf":2289},"https:\u002F\u002Fdoi.org\u002F10.1007\u002F978-981-15-6259-4_30","10.1007\u002F978-981-15-6259-4_30","Comparison of State of Charge Estimation Algorithms for Lithium Battery",[1558,2286,2287,2288],"Mostafa Bouzi","Naoufal Ettalabi","Mounir Derri","Lecture notes in electrical engineering",{"@type":89,"@id":2291,"schema:additionalType":91,"schema:identifier":2292,"schema:headline":2293,"schema:author":2294,"schema:datePublished":2255,"schema:isPartOf":2300},"https:\u002F\u002Fdoi.org\u002F10.1007\u002F978-3-030-51965-0_15","10.1007\u002F978-3-030-51965-0_15","An LSTM-Based Encoder-Decoder Model for State-of-Charge Estimation of Lithium-Ion Batteries",[2295,2296,2297,2298,2299],"Shengmin Cui","Xiaowa Yong","Sanghwan Kim","Seokjoon Hong","Inwhee Joe","Advances in intelligent systems and computing",{"@type":89,"@id":2302,"schema:additionalType":91,"schema:identifier":2303,"schema:headline":2304,"schema:author":2305,"schema:datePublished":2255,"schema:isPartOf":2309},"https:\u002F\u002Fdoi.org\u002F10.1149\u002F1945-7111\u002Fab6448","10.1149\u002F1945-7111\u002Fab6448","Analysis of Generalized Peukert’s Equations for Capacity Calculation of Lithium-Ion Cells",[2306,2307,2308],"Nikolay E. Galushkin","Nataliya N. Yazvinskaya","Dmitriy N. Galushkin","Journal of The Electrochemical Society",{"@type":89,"@id":2311,"schema:additionalType":91,"schema:identifier":2312,"schema:headline":2313,"schema:author":2314,"schema:datePublished":2255,"schema:isPartOf":820},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Faccess.2020.3028095","10.1109\u002Faccess.2020.3028095","Capacity Estimation of Li-Ion Batteries Using Constant Current Charging Voltage With Multilayer Perceptron",[2315,2316,2317,2318],"Minjun Park","Minhwan Seo","Youngbin Song","Sang Woo Kim",{"@type":89,"@id":2320,"schema:additionalType":91,"schema:identifier":2321,"schema:headline":2322,"schema:author":2323,"schema:datePublished":2255},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fias44978.2020.9334824","10.1109\u002Fias44978.2020.9334824","State-of-Charge Estimation of Li-ion Battery at Variable Ambient Temperature with Gated Recurrent Unit Network",[2241,2242,2243,2244,2245,2246],{"@type":89,"@id":2325,"schema:additionalType":91,"schema:identifier":2326,"schema:headline":2327,"schema:author":2328,"schema:datePublished":2255},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficiis51140.2020.9342642","10.1109\u002Ficiis51140.2020.9342642","An Analytical study on Methods to Detect Degraded Cells in a Multi-Cell Lithium-ion Battery Pack",[2329,2330,2331],"I.A. Premaratne","B.G.L.T. Samaranayake","Prabath Binduhewa",{"@type":89,"@id":2333,"schema:additionalType":91,"schema:identifier":2334,"schema:headline":2335,"schema:author":2336,"schema:datePublished":2255},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fphm-shanghai49105.2020.9280940","10.1109\u002Fphm-shanghai49105.2020.9280940","State-of-Charge Estimation of Lithium-ion Batteries Based on Deep Neural Network",[2337,2338,2339,2340,2341],"Chao Lyu","Yi‐Tong Han","Qi Guo","Lixin Wang","Yankong Song",{"@type":89,"@id":2343,"schema:additionalType":91,"schema:identifier":2344,"schema:headline":2345,"schema:author":2346,"schema:datePublished":2255},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fsiitme50350.2020.9292232","10.1109\u002Fsiitme50350.2020.9292232","A Comparison between State of Charge Estimation Methods: Extended Kalman Filter and Unscented Kalman Filter",[2347,2348,2349],"Adelina Ioana Ilieş","Gabriel Chindriș","Dan Pitică",{"@type":89,"@id":2351,"schema:additionalType":91,"schema:identifier":2352,"schema:headline":2353,"schema:author":2354,"schema:datePublished":2255,"schema:isPartOf":967},"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",[1050,1053,2355],"Qiang Miao",{"@type":89,"@id":2357,"schema:additionalType":91,"schema:identifier":2358,"schema:headline":2359,"schema:author":2360,"schema:datePublished":2255},"https:\u002F\u002Fdoi.org\u002F10.23919\u002Fccc50068.2020.9189457","10.23919\u002Fccc50068.2020.9189457","State of Charge Estimation of Lithium ion Battery Based on a New Linear Online Model",[1412,1789,1790,2092],{"@type":89,"@id":2362,"schema:additionalType":91,"schema:identifier":2363,"schema:headline":2364,"schema:author":2365,"schema:datePublished":2370,"schema:isPartOf":2371},"https:\u002F\u002Fdoi.org\u002F10.1088\u002F1742-6596\u002F1345\u002F4\u002F042069","10.1088\u002F1742-6596\u002F1345\u002F4\u002F042069","SOC Estimation of Modular Lithium Battery Pack Based on Adaptive Kalman Filter Algorithm",[2366,2367,2368,2369],"Zhi Duan Cai","Jing Yun Xu","Xiao Yue Sun","Li Quan",2019,"Journal of Physics Conference Series",{"@type":89,"@id":2373,"schema:additionalType":91,"schema:identifier":2374,"schema:headline":2375,"schema:author":2376,"schema:datePublished":2370,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2019.100819","10.1016\u002Fj.est.2019.100819","A semi-empirical, electrochemistry-based model for Li-ion battery performance prediction over lifetime",[2377,2378,2379],"Maria Varini","Pietro Elia Campana","Göran Lindbergh",{"@type":89,"@id":2381,"schema:additionalType":91,"schema:identifier":2382,"schema:headline":2383,"schema:author":2384,"schema:datePublished":2370,"schema:isPartOf":139},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.apenergy.2019.113644","10.1016\u002Fj.apenergy.2019.113644","Data-efficient parameter identification of electrochemical lithium-ion battery model using deep Bayesian harmony search",[2385,2386,2387,2388,2389,2390,2391],"Minho Kim","Huiyong Chun","Jungsoo Kim","Kwangrae Kim","Jungwook Yu","Taegyun Kim","Soohee Han",{"@type":89,"@id":2393,"schema:additionalType":91,"schema:identifier":2394,"schema:headline":2395,"schema:author":2396,"schema:datePublished":2370,"schema:isPartOf":453},"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",[964,2397,2398],"Fei Xiao","Yaxiang Fan",{"@type":89,"@id":2400,"schema:additionalType":91,"schema:identifier":2401,"schema:headline":2402,"schema:author":2403,"schema:datePublished":2370,"schema:isPartOf":167},"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",[1050,2404,1053],"Huoliang He",{"@type":89,"@id":2406,"schema:additionalType":91,"schema:identifier":2407,"schema:headline":2408,"schema:author":2409,"schema:datePublished":2370},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fapccas47518.2019.8953137","10.1109\u002Fapccas47518.2019.8953137","Capacity Estimation of Li-ion battery using Constant Current Charging Voltage",[2315,2316,2317,2410],"Sangwoo Kim",{"@type":89,"@id":2412,"schema:additionalType":91,"schema:identifier":2413,"schema:headline":2414,"schema:author":2415,"schema:datePublished":2370},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fias.2019.8912003","10.1109\u002Fias.2019.8912003","State-of-Charge Estimation of Li-ion Battery in Electric Vehicles: A Deep Neural Network Approach",[2242,2241,2244,2416,2245,2246],"Khairul Salleh Mohamed Sahari",{"@type":89,"@id":2418,"schema:additionalType":91,"schema:identifier":2419,"schema:headline":2420,"schema:author":2421,"schema:datePublished":2370},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fismac.2019.8836138","10.1109\u002Fismac.2019.8836138","Improved Accuracy of Online State of Charge Estimation for Wireless Sensor Network Nodes",[2422,2423,2424],"Ydron Paul C. Amarga","Marc Caesar R. Talampas","Lew Andrew R. Tria",{"@type":89,"@id":2426,"schema:additionalType":91,"schema:identifier":2427,"schema:headline":2428,"schema:author":2429,"schema:datePublished":2370,"schema:isPartOf":918},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftie.2019.2916389","10.1109\u002Ftie.2019.2916389","Robust Estimation for State-of-Charge and State-of-Health of Lithium-Ion Batteries Using Integral-Type Terminal Sliding-Mode Observers",[1846,1847,2430,1844,2431],"Qing‐Long Han","Jiacheng Du",{"@type":89,"@id":2433,"schema:additionalType":91,"schema:identifier":2434,"schema:headline":2435,"schema:author":2436,"schema:datePublished":2439,"schema:isPartOf":167},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.energy.2018.06.116","10.1016\u002Fj.energy.2018.06.116","Successive-approximation algorithm for estimating capacity of Li-ion batteries",[2437,2315,2316,2438,2318],"Taedong Goh","Jun Gu Kim",2018,{"@type":89,"@id":2441,"schema:additionalType":91,"schema:identifier":2442,"schema:headline":2443,"schema:author":2444,"schema:datePublished":2439},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fiecon.2018.8591631","10.1109\u002Fiecon.2018.8591631","An Online Estimation Algorithm of State-of-Charge of Lithium-Ion Batteries",[1846,2445,1844,2446,2447],"Cheng Meng","Xun Yi","Xinghuo Yu",{"@type":89,"@id":2449,"schema:additionalType":91,"schema:identifier":2450,"schema:headline":2451,"schema:author":2452,"schema:datePublished":2453,"schema:isPartOf":167},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.energy.2017.06.141","10.1016\u002Fj.energy.2017.06.141","Capacity estimation algorithm with a second-order differential voltage curve for Li-ion batteries with NMC cathodes",[2437,2315,2316,2438,2318],2017,{"@type":89,"@id":2455,"schema:additionalType":91,"schema:identifier":2456,"schema:headline":2457,"schema:author":2458,"schema:datePublished":2453,"schema:isPartOf":453},"https:\u002F\u002Fdoi.org\u002F10.3390\u002FEN10010076","10.3390\u002Fen10010076","Detection of Internal Short Circuit in Lithium Ion Battery Using Model-Based Switching Model Method",[2316,2437,2315,2459,2460],"Gyogwon Koo","Sang Kim",{"@type":89,"@id":2462,"schema:additionalType":91,"schema:identifier":2463,"schema:headline":2464,"schema:author":2465,"schema:datePublished":2453},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fapec.2017.7930859","10.1109\u002Fapec.2017.7930859","Differentiation of ECM and noise model\u002Fdata rejection for high-capacity and high-power cell according to the electrical characteristics",[2466,2467,166],"Hyun-jun Lee","Joung‐Hu Park",{"@type":89,"@id":2469,"schema:additionalType":91,"schema:identifier":2470,"schema:headline":2471,"schema:author":2472,"schema:datePublished":2453},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fecce.2017.8095897","10.1109\u002Fecce.2017.8095897","Environmental tests and evaluations of variable 18650 cylindrical li-ion cells for space cell's qualification establishment",[166,2473,2474,2475,2476],"Pyeong‐Yeon Lee","Chang-O Youn","Woonki Na","Min‐Ho Jang",{"@type":89,"@id":2478,"schema:additionalType":91,"schema:identifier":2479,"schema:headline":2480,"schema:author":2481,"schema:datePublished":2453,"schema:isPartOf":918},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftie.2017.2764869","10.1109\u002Ftie.2017.2764869","Battery State-of-Charge Estimation Based on Regular\u002FRecurrent Gaussian Process Regression",[2482,2483,2484,2485,2486,2487],"Gozde O. Sahinoglu","Milutin Pajovic","Zafer Şahinoğlu","Yebin Wang","Philip V. Orlik","Toshihiro Wada",{"@type":89,"@id":2489,"schema:additionalType":91,"schema:identifier":2490,"schema:headline":2491,"schema:author":2492,"schema:datePublished":2494},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fvss.2016.7506936","10.1109\u002Fvss.2016.7506936","SoC estimation for lithium-ion batteries in automotive systems: Sliding mode observation",[2493],"Erkan Abdulhamitbilal",2016,{"@type":89,"@id":2496,"schema:additionalType":2497,"schema:identifier":2498,"schema:headline":2499,"schema:author":2500,"schema:datePublished":106,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2026.122173","REFERENCED","10.1016\u002Fj.est.2026.122173","Hybrid active disturbance rejection and neural network control architecture for optimized charging-discharging current regulation in Li-ion batteries",[2501,2502,2503,2504,2505],"Abdullah A. Memon","Muhammad Majid Gulzar","Salman Habib","Ali Arishi","Ali Faisal Murtaza",{"@type":89,"@id":2507,"schema:additionalType":2497,"schema:identifier":2508,"schema:headline":2509,"schema:author":2510,"schema:datePublished":106},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fiatmsi68868.2026.11465539","10.1109\u002Fiatmsi68868.2026.11465539","Emerging Approaches for Integrating Passive Balancing and Charging Strategies in Electric Vehicle Batteries",[2511,2512,2513],"Shrusti Girimath","Anupama R. Itagi","Rakhee Kallimani",{"@type":89,"@id":2515,"schema:additionalType":2497,"schema:identifier":2516,"schema:headline":2517,"schema:author":2518,"schema:datePublished":488,"schema:isPartOf":2520},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fphyschem5010012","10.3390\u002Fphyschem5010012","Random Forest-Based Machine Learning Model Design for 21,700\u002F5 Ah Lithium Cell Health Prediction Using Experimental Data",[2519],"Sid-Ali Amamra","Physchem",{"@type":89,"@id":2522,"schema:additionalType":2497,"schema:identifier":2523,"schema:headline":2524,"schema:author":2525,"schema:datePublished":488,"schema:isPartOf":2531},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.ces.2025.121878","10.1016\u002Fj.ces.2025.121878","Remaining useful life prediction of lithium-ion batteries based on informer model with multi-feature extraction and Bayesian optimization",[2526,1211,2527,2528,2529,2530,1213,1214],"Ruoyu Zhou","Yijia Ren","Kaite Liu","Xin Xiang Peng","Liqing He","Chemical Engineering Science",{"@type":89,"@id":2533,"schema:additionalType":2497,"schema:identifier":2534,"schema:headline":2535,"schema:author":2536,"schema:datePublished":488},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fcodit66093.2025.11321671","10.1109\u002Fcodit66093.2025.11321671","A Combined Bi-LSTM and Self-Attention Approach for Li-Ion Battery SoC Estimation Under Varying Temperatures",[2537,2538],"Ines Baccouche","Najoua Essoukri Ben Amara",{"@type":89,"@id":2540,"schema:additionalType":2497,"schema:identifier":2541,"schema:headline":2542,"schema:author":2543,"schema:datePublished":488},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fmepcon66918.2026.11360159","10.1109\u002Fmepcon66918.2026.11360159","Finite Element-Based Modeling of Thermal Behavior Study of Lithium-Ion Batteries",[2544,2545,2546,2547,2548],"Ibrahim Moukhtar","Jackleen S. Same","Esam H. Abdelhameed","Adel Z. El-Dein","A. El-Tayeb",{"@type":89,"@id":2550,"schema:additionalType":2497,"schema:identifier":2551,"schema:headline":2552,"schema:author":2553,"schema:datePublished":488,"schema:isPartOf":1747},"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",[2554,2555,2556,2557,2558,2559,2560,2561],"Tosin Adewumi","Martin H. Karlsson","Marcus Liwicki","Mikael Sjödahl","Lama Alkhaled","Rihab Gargouri","Nudrat Habib","Franz Hennie",{"@type":89,"@id":2563,"schema:additionalType":2497,"schema:identifier":2564,"schema:headline":2565,"schema:author":2566,"schema:datePublished":988,"schema:isPartOf":586},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fpr12091871","10.3390\u002Fpr12091871","A Review on Lithium-Ion Battery Modeling from Mechanism-Based and Data-Driven Perspectives",[582,2567,2568,584,2569,585],"Jindong Dai","Chi Zhai","Yuhe Tian",{"@type":89,"@id":2571,"schema:additionalType":2497,"schema:identifier":2572,"schema:headline":2573,"schema:author":2574,"schema:datePublished":988,"schema:isPartOf":435},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Felectronics13203991","10.3390\u002Felectronics13203991","Data-Driven State of Health Interval Prediction for Lithium-Ion Batteries",[2575,2576,2577],"Ziyao Song","Han Zhang","Jianfang Jia",{"@type":89,"@id":2579,"schema:additionalType":2497,"schema:identifier":2580,"schema:headline":2581,"schema:author":2582,"schema:datePublished":988,"schema:isPartOf":629},"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",[2583,2584,2585,2586,2587,2588],"Obuli Pranav D","Preethem S. Babu","Vairavasundaram Indragandhi","B. Ashok","S. Vedhanayaki","C. Kavitha",{"@type":89,"@id":2590,"schema:additionalType":2497,"schema:identifier":2591,"schema:headline":2592,"schema:author":2593,"schema:datePublished":988,"schema:isPartOf":1837},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fwevj15090406","10.3390\u002Fwevj15090406","Parameters Identification for Lithium-Ion Battery Models Using the Levenberg–Marquardt Algorithm",[2594,2595,2596],"Ashraf Alshawabkeh","Mustafa Matar","Fayha Almutairy",{"@type":89,"@id":2598,"schema:additionalType":2497,"schema:identifier":2599,"schema:headline":2600,"schema:author":2601,"schema:datePublished":988,"schema:isPartOf":453},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fen17225582","10.3390\u002Fen17225582","Adaptive Remaining Capacity Estimator of Lithium-Ion Battery Using Genetic Algorithm-Tuned Random Forest Regressor Under Dynamic Thermal and Operational Environments",[2602,2603,2604],"Uzair Ijaz Khan","Mohd Tariq","Arif I. Sarwat",{"@type":89,"@id":2606,"schema:additionalType":2497,"schema:identifier":2607,"schema:headline":2608,"schema:author":2609,"schema:datePublished":988,"schema:isPartOf":2611},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.gce.2024.09.001","10.1016\u002Fj.gce.2024.09.001","Advanced data-driven techniques in AI for predicting lithium-ion battery remaining useful life: a comprehensive review",[1211,2526,2527,2610,1214,1213],"Meiyuan Jiao","Green Chemical Engineering",{"@type":89,"@id":2613,"schema:additionalType":2497,"schema:identifier":2614,"schema:headline":2615,"schema:author":2616,"schema:datePublished":988},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficiea61579.2024.10664826","10.1109\u002Ficiea61579.2024.10664826","Predicting State of Health of Lithium Ion Batteries",[2617,2618,2619],"Aiswarya Anand","M. M. Manohara Pai","Radhika M. Pai",{"@type":89,"@id":2621,"schema:additionalType":2497,"schema:identifier":2622,"schema:headline":2623,"schema:author":2624,"schema:datePublished":1500,"schema:isPartOf":187},"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",[115,114,1507,2625,1520,1509],"Huan Li",{"@type":89,"@id":2627,"schema:additionalType":2497,"schema:identifier":2628,"schema:headline":2629,"schema:author":2630,"schema:datePublished":1500,"schema:isPartOf":2638},"https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs11708-023-0891-7","10.1007\u002Fs11708-023-0891-7","Machine learning and neural network supported state of health simulation and forecasting model for lithium-ion battery",[2631,2632,2633,2634,2635,2636,2637],"Nan Qi","Kang Yan","Yajuan Yu","Rui Li","Rong Huang","Lai Chen","Yuefeng Su","Frontiers in Energy",{"@type":89,"@id":2640,"schema:additionalType":2497,"schema:identifier":2641,"schema:headline":2642,"schema:author":2643,"schema:datePublished":1500,"schema:isPartOf":187},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.est.2023.108777","10.1016\u002Fj.est.2023.108777","A comprehensive review of state of charge estimation in lithium-ion batteries used in electric vehicles",[2644,2585],"Vedhanayaki Selvaraj",{"@type":89,"@id":2646,"schema:additionalType":2497,"schema:identifier":2647,"schema:headline":2648,"schema:author":2649,"schema:datePublished":1500},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fapec43580.2023.10131605","10.1109\u002Fapec43580.2023.10131605","Overview of Machine Learning-Enabled Battery State Estimation Methods",[2650,2651,2652],"Yingjian Zhuge","Hengzhao Yang","Haoyu Wang",{"@type":89,"@id":2654,"schema:additionalType":2497,"schema:identifier":2655,"schema:headline":2656,"schema:author":2657,"schema:datePublished":1500},"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",[2658,2659,2660,2661,2662,2663],"B. Pushpavanam","T. Akilan","S. Tara Kalyani","C. Swedheetha","Palanichamy Naveen","Palanivel Manikandan",{"@type":89,"@id":2665,"schema:additionalType":2497,"schema:identifier":2666,"schema:headline":2667,"schema:author":2668,"schema:datePublished":1500,"schema:isPartOf":453},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fen16176334","10.3390\u002Fen16176334","Battery Energy Storage Systems for the New Electricity Market Landscape: Modeling, State Diagnostics, Management, and Viability—A Review",[2669,2670,2671,2672,2673],"Pablo Carrasco Ortega","Pablo Durán Gómez","Julio César Mérida Sánchez","Fernando Echevarría Camarero","Ángel Á. Pardiñas",{"@type":89,"@id":2675,"schema:additionalType":2497,"schema:identifier":2676,"schema:headline":2677,"schema:author":2678,"schema:datePublished":1755,"schema:isPartOf":167},"https:\u002F\u002Fdoi.org\u002F10.1016\u002Fj.energy.2022.124812","10.1016\u002Fj.energy.2022.124812","State of health estimation for lithium-ion battery based on energy features",[2679,2680,2681,2682],"Dongliang Gong","Ying Gao","Yalin Kou","Yurang Wang",{"@type":89,"@id":2684,"schema:additionalType":2497,"schema:identifier":2685,"schema:headline":2686,"schema:author":2687,"schema:datePublished":1755,"schema:isPartOf":1829},"https:\u002F\u002Fdoi.org\u002F10.1002\u002Fer.8621","10.1002\u002Fer.8621","Determination of m ulti‐step constant current based fast charging method for Li‐NMC battery cells using multi‐ swarm particle swarm optimization algorithm",[2688,2689],"Taner Çarkıt","Mustafa Alçı",{"@type":89,"@id":2691,"schema:additionalType":2497,"schema:identifier":2692,"schema:headline":2693,"schema:author":2694,"schema:datePublished":1755,"schema:isPartOf":2699},"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",[2695,2696,2697,2698],"Dawei Zhang","Chen Zhong","Peijuan Xu","Yiyang Tian","Machines",{"@type":89,"@id":2701,"schema:additionalType":2497,"schema:identifier":2702,"schema:headline":2703,"schema:author":2704,"schema:datePublished":1755,"schema:isPartOf":453},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fen15196881","10.3390\u002Fen15196881","Method for SoC Estimation in Lithium-Ion Batteries Based on Multiple Linear Regression and Particle Swarm Optimization",[2705,2706,2707,2708,2709,2710,2711,2712,2713],"Diego Solak Castanho","Márcio Guerreiro","Ludmila C. A. Silva","Jony Javorski Eckert","Thiago Antonini Alves","Yara de Souza Tadano","Sérgio Luiz Stevan","Hugo Valadares Siqueira","Fernanda Cristina Corrêa",{"@type":89,"@id":2715,"schema:additionalType":2497,"schema:identifier":2716,"schema:headline":2717,"schema:author":2718,"schema:datePublished":1755,"schema:isPartOf":187},"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",[2244,2719,2720,2721,2722,2723,2241,2246,2724],"Shaheer Ansari","Md. Sazal Miah","Sheikh Tanzim Meraj","Kamrul Hasan","ASM Shihavuddin","Aini Hussain",{"@type":89,"@id":2726,"schema:additionalType":2497,"schema:identifier":2727,"schema:headline":2728,"schema:author":2729,"schema:datePublished":1755,"schema:isPartOf":2735},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fjestpe.2022.3199093","10.1109\u002Fjestpe.2022.3199093","Battery Storage System as Power Unbalance Redistributor in Distribution Grids Based on Three Legs Four Wire Voltage Source Converter",[2730,2731,2732,2733,2734],"Marco Stecca","Thiago Batista Soeiro","Anand Krishnamurthy Iyer","Pavol Bauer","Peter Pálenský","IEEE Journal of Emerging and Selected Topics in Power Electronics",{"@type":89,"@id":2737,"schema:additionalType":2497,"schema:identifier":2738,"schema:headline":2739,"schema:author":2740,"schema:datePublished":1755,"schema:isPartOf":967},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ftte.2022.3215691","10.1109\u002Ftte.2022.3215691","A Novel Hybrid Battery Thermal Management System for Prevention of Thermal Runaway Propagation",[2741,2742,1322,2743,2744,2745],"Zeyu Sun","Yue Guo","Hongming Xu","Quan Zhou","Chongming Wang",{"@type":89,"@id":2747,"schema:additionalType":2497,"schema:identifier":2748,"schema:headline":2749,"schema:author":2750,"schema:datePublished":2074,"schema:isPartOf":1267},"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",[2751,2752,2753,2754],"Gonçalo dos Reis","Calum Strange","Mohit Yadav","Xiang Li",{"@type":89,"@id":2756,"schema:additionalType":2497,"schema:identifier":2757,"schema:headline":2758,"schema:author":2759,"schema:datePublished":2255,"schema:isPartOf":453},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fen13020478","10.3390\u002Fen13020478","An Improved State of Charge and State of Power Estimation Method Based on Genetic Particle Filter for Lithium-ion Batteries",[1835,2760,1440,1488,1551,2761],"Chaoyi Zheng","Jiajia Chen",{"@type":89,"@id":2763,"schema:additionalType":2497,"schema:identifier":2764,"schema:headline":2765,"schema:author":2766,"schema:datePublished":2439},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Fecce.2018.8557458","10.1109\u002Fecce.2018.8557458","Cell Failure Evaluations under Environmental and Safety Tests of Multiple 18650 Li-Ion NCA and NMC Cells for Space Cell's Qualification Estabilishment",[166,2475,2767,2476,2768],"Seongjun Lee","Chulwoo Lim",{"@type":89,"@id":2770,"schema:additionalType":2771,"schema:identifier":2772,"schema:headline":2773,"schema:author":2774,"schema:datePublished":488},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficcep65222.2025.11143706","UNCLEAR","10.1109\u002Ficcep65222.2025.11143706","Characterization of LTO Batteries and Active Balancing Modes for Energy Storage Systems of Rolling Stock Operating Non-Electrified Lines",[1357,2775,1358,1359],"Giuseppe Graber",{"@type":89,"@id":2777,"schema:additionalType":2771,"schema:identifier":2778,"schema:headline":2779,"schema:author":2780,"schema:datePublished":988},"https:\u002F\u002Fdoi.org\u002F10.1109\u002Ficaice63571.2024.10863882","10.1109\u002Ficaice63571.2024.10863882","State of Charge Estimation for Lithium-Ion Batteries Based on IGA-EKPF",[2781,2782],"Huiheng Hou","Haizhong Chen",{"@type":89,"@id":2784,"schema:additionalType":2771,"schema:identifier":2785,"schema:headline":2786,"schema:author":2787,"schema:datePublished":2439,"schema:isPartOf":453},"https:\u002F\u002Fdoi.org\u002F10.3390\u002Fen11071669","10.3390\u002Fen11071669","Detection Method for Soft Internal Short Circuit in Lithium-Ion Battery Pack by Extracting Open Circuit Voltage of Faulted Cell",[2316,2437,2315,2318],{"@type":2789,"schema:name":2790},"schema:Person","Philipp Dechent","1.0","2026-09-27",1790617787202]