This Website provides additional insights into structered battery data found in the Cell Info Repository tab.

Abstract

More than 20,000 papers mentioning 'lithium-ion battery' were indexed by OpenAlex for 2025 alone, far more than any researcher can read. This paper discusses strategies based on structured, semantic, and linked data to manage this information overload. Structured data follows a predefined, machine-readable format; semantic data includes metadata for context; linked data references other semantic data, forming a web of interconnected information. We use the battery-related ontology BattINFO to standardise terms and enable automated data extraction and analysis. We compiled a corpus of more than 450,000 battery publications, converted manufacturer data sheets of more than 380 commercial cells into BattINFO-based JSON-LD, and linked each cell to the publications that tested it. Although only a first step, this approach can make literature-based battery research considerably faster, and we invite the community to contribute. We provide the structured data and the tools to access them as open source.

Acknowledgements

The authors thank DFG (506629963, 511349305) and ERC (101103997) for funding.