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

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 approach with...

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Detalles Bibliográficos
Autores principales: Yang, Shichun, Zhou, Sida, Hua, Yang, Zhou, Xinan, Liu, Xinhua, Pan, Yuwei, Ling, Heping, Wu, Billy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7952569/
https://www.ncbi.nlm.nih.gov/pubmed/33707575
http://dx.doi.org/10.1038/s41598-021-84729-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7952569/
https://www.ncbi.nlm.nih.gov/pubmed/33707575
http://dx.doi.org/10.1038/s41598-021-84729-1

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