State of Charge Estimation and Evaluation of Lithium Battery Using Kalman Filter Algorithms

The accurate and rapid estimation of the state of charge (SOC) is important and difficult in lithium battery management systems. In this paper, an adaptive infinite Kalman filter (AUKF) was used to estimate the state of charge for a 18650 LiNiMnCoO(2)/graphite lithium-ion battery, and its performanc...

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Detalles Bibliográficos
Autores principales: Hu, Longzhou, Hu, Rong, Ma, Zengsheng, Jiang, Wenjuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9785816/
https://www.ncbi.nlm.nih.gov/pubmed/36556550
http://dx.doi.org/10.3390/ma15248744

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9785816/
https://www.ncbi.nlm.nih.gov/pubmed/36556550
http://dx.doi.org/10.3390/ma15248744

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