On-Line Parameter Identification and SOC Estimation for Lithium-Ion Batteries Based on Improved Sage–Husa Adaptive EKF

For the Battery Management System (BMS) to manage and control the battery, State of Charge (SOC) is an important battery performance indicator. In order to identify the parameters of the LiFePO₄ battery, this paper employs the forgetting factor recursive least squares (FFRLS) method, whic...

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Hlavní autoři:	Xuan Tang, Hai Huang, Xiongwu Zhong, Kunjun Wang, Fang Li, Youhang Zhou, Haifeng Dai
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2024-11-01
Edice:	Energies
Témata:	state of charge the Sage–Husa adaptive method extended Kalman filter equivalent circuit model
On-line přístup:	https://www.mdpi.com/1996-1073/17/22/5722
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