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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Vydané v:	Control engineering practice Ročník 124; s. 105202
Hlavní autori:	Liu, Kailong, Niri, Mona Faraji, Apachitei, Geanina, Lain, Michael, Greenwood, David, Marco, James
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.07.2022
Predmet:	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
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