Interpretable machine learning for battery capacities prediction and coating parameters analysis

Battery manufacturing plays a direct and pivotal role in determining battery performance, which, in turn, significantly affects the applications of battery-related energy storage systems. As a complicated process that involves chemical, mechanical and electrical operations, effective battery propert...

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Veröffentlicht in:	Control engineering practice Jg. 124; S. 105202
Hauptverfasser:	Liu, Kailong, Niri, Mona Faraji, Apachitei, Geanina, Lain, Michael, Greenwood, David, Marco, James
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.07.2022
Schlagworte:	Battery capacity predictions Battery manufacturing analysis Control engineering Data science Energy storage system Machine learning Data science Control engineering Energy storage system Battery capacity predictions Battery manufacturing analysis Machine learning
ISSN:	0967-0661, 1873-6939
Online-Zugang:	Volltext
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