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

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 LiFePO<sub>4</sub> battery, this paper employs the forgetting factor recursive least squares (FFRLS)...

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Bibliographic Details
Main Authors: Xuan Tang, Hai Huang, Xiongwu Zhong, Kunjun Wang, Fang Li, Youhang Zhou, Haifeng Dai
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Energies
Subjects:
state of charge
the Sage–Husa adaptive method
extended Kalman filter
equivalent circuit model
Online Access:https://www.mdpi.com/1996-1073/17/22/5722
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