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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Bibliographic Details

Published in:	Control engineering practice Vol. 124; p. 105202
Main Authors:	Liu, Kailong, Niri, Mona Faraji, Apachitei, Geanina, Lain, Michael, Greenwood, David, Marco, James
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.07.2022
Subjects:	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 Access:	Get full text
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