Physics-informed neural networks for electrode-level state estimation in lithium-ion batteries

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Published: Sep 01, 2021
Vol/Issue: 506
Pages: 230034
License: View

Authors

Department of Cardiology, the First Affiliated Hospital of Harbin Medical University, Harbin, China

Northern Illinois University

Funding

Horizon 2020 Award: 03XP0334

European Commission

Bundesministerium für Bildung und Forschung

Cite This Article

Weihan Li, Jiawei Zhang, Florian Ringbeck, et al. (2021). Physics-informed neural networks for electrode-level state estimation in lithium-ion batteries. Journal of Power Sources, 506, 230034. https://doi.org/10.1016/j.jpowsour.2021.230034

Physics-informed neural networks for electrode-level state estimation in lithium-ion batteries

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