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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |