State of Charge Estimation of Lithium-Ion Batteries Based on an Improved Sage-Husa Extended Kalman Filter Algorithm

An improved Sage-Husa extended Kalman filter (SHEKF) algorithm is intended to improve the accuracy and stability of SOC prediction. In this paper, two different exponential weighting algorithms are used to adaptively select the forgetting factor for adaptive noise estimation. Moreover, the OCV-SOC c...

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Detalhes bibliográficos

Principais autores:	Lihong Xiang, Li Cai, Nina Dai, Le Gao, Guoping Lei, Junting Li, Ming Deng
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-11-01
Colecção:	World Electric Vehicle Journal
Assuntos:	state of charge measurement noise and system noise third-order RC equivalent circuit model Sage-Husa algorithm exponential weighting
Acesso em linha:	https://www.mdpi.com/2032-6653/13/11/220
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