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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Vydané v:	Journal of energy storage Ročník 55; s. 105669
Hlavní autori:	Liu, Xingtao, Yang, Jiacheng, Wang, Li, Wu, Ji
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 30.11.2022
Predmet:	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
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