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...

Celý popis

Podrobná bibliografie

Vydáno v:	Journal of energy storage Ročník 55; s. 105669
Hlavní autoři:	Liu, Xingtao, Yang, Jiacheng, Wang, Li, Wu, Ji
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 30.11.2022
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!