Bayesian information criterion based data-driven state of charge estimation for lithium-ion battery

Accurate state of charge (SOC) estimation is essential for the safe and reliable operation of Li-ion batteries. To solve the problem of poor generalisation caused by over-fitting, this paper presents a combination algorithm based on feature selection to estimate battery SOC. Firstly, a portion of th...

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Veröffentlicht in:	Journal of energy storage Jg. 55; S. 105669
Hauptverfasser:	Liu, Xingtao, Yang, Jiacheng, Wang, Li, Wu, Ji
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 30.11.2022
Schlagworte:	Bayesian information criterion Data-driven Lithium-ion battery State of charge estimation Support vector regression algorithm Lithium-ion battery State of charge estimation Data-driven Bayesian information criterion Support vector regression algorithm
ISSN:	2352-152X, 2352-1538
Online-Zugang:	Volltext
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