Transfer learning from synthetic data for open-circuit voltage curve reconstruction and state of health estimation of lithium-ion batteries from partial charging segments

Data-driven models for battery state estimation require extensive experimental training data, which may not be available or suitable for specific tasks like open-circuit voltage (OCV) reconstruction and subsequent state of health (SOH) estimation. This study addresses this issue by developing a tran...

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Λεπτομέρειες βιβλιογραφικής εγγραφής

Κύριοι συγγραφείς:	Tobias Hofmann, Jacob Hamar, Bastian Mager, Simon Erhard, Jan Philipp Schmidt
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	Elsevier 2024-09-01
Σειρά:	Energy and AI
Θέματα:	Lithium-ion battery State of health estimation Transfer learning OCV curve Partial charging Synthetic data
Διαθέσιμο Online:	http://www.sciencedirect.com/science/article/pii/S266654682400048X
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