Physics-based Models, Machine Learning, and Experiment: Towards Understanding Complex Electrode Degradation

Degradation phenomena in Li-ion batteries are highly complex, coupled, and sensitive to use history and operating conditions. In this study, we show how tracking model parameters in continuum-level physics-based models, expedited by machine learning, can be useful in testing hypotheses for degradati...

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Veröffentlicht in:	Journal of the Electrochemical Society 2023-01, Vol.170 (1), p.10502
Hauptverfasser:	Mayilvahanan, Karthik S., Nicoll, Andrew, Soni, Jwal R., Takeuchi, Kenneth J., Takeuchi, Esther S., Marschilok, Amy C., West, Alan C.
Format:	Artikel
Sprache:	eng
Schlagworte:	Electrochemistry ENERGY STORAGE Materials Science
Online-Zugang:	Volltext
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