A parameter adaptive method for state of charge estimation of lithium-ion batteries with an improved extended Kalman filter

A parameter adaptive method for state of charge estimation of lithium-ion batteries with an improved extended Kalman filter

Abstract An accurate state of charge (SOC) estimation in battery management systems (BMS) is of crucial importance to guarantee the safe and effective operation of automotive batteries. However, the BMS consistently suffers from inaccuracy of SOC estimation. Herein, we propose a SOC estimation appro...

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Autores principales: Shichun Yang, Sida Zhou, Yang Hua, Xinan Zhou, Xinhua Liu, Yuwei Pan, Heping Ling, Billy Wu
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/c8b762e012e94c5295ec00d15b98c844
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