Combining Forgetting Factor Recursive Least Squares and Adaptive Extended Kalman Filter Techniques for Dynamic Estimation of Lithium Battery State of Charge

For electric vehicles widely used recently, lithium-ion batteries serve as the primary energy storage units, affecting the vehicles’ performance, safety, and lifespan. Accurate state of charge (SOC) estimation is pivotal for the battery management system (BMS) to enhance the predictability of the ve...

ver descrição completa

Detalhes bibliográficos

Principais autores:	En-Jui Liu, Cai-Chun Ting, Wei-Hsuan Hsu, Pei-Zhang Chen, Wei-Hua Hong, Hung-Chih Ku
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-08-01
coleção:	Engineering Proceedings
Assuntos:	state of charge estimation dual adaptive extended Kalman filter forgetting factor recursive least squares online battery parameter identification
Acesso em linha:	https://www.mdpi.com/2673-4591/108/1/1
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!