Battery aging mode identification across NMC compositions and designs using machine learning

A comprehensive understanding of lithium-ion battery (LiB) lifespan is the key to designing durable batteries and optimizing use protocols. Although battery lifetime prediction methods are flourishing, diagnosis of the root causes of aging and degradation have not yet been well developed nor studied...

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Veröffentlicht in:	Joule 2022-12, Vol.6 (12), p.2776-2793
Hauptverfasser:	Chen, Bor-Rong, Walker, Cody M., Kim, Sangwook, Kunz, M. Ross, Tanim, Tanvir R., Dufek, Eric J.
Format:	Artikel
Sprache:	eng
Schlagworte:	aging battery aging degradation diagnostics ENERGY STORAGE Li ion battery machine learning MATERIALS SCIENCE
Online-Zugang:	Volltext
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