Protocol for state-of-health prediction of lithium-ion batteries based on machine learning

Accurate estimates of State of Health (SoH) are critical for characterizing the aging of lithium-ion batteries. This protocol combines feature extraction and a representative machine learning algorithm (i.e., least-squares support vector machine) for SoH prediction of lithium-ion batteries. We detai...

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Detalles Bibliográficos
Autores principales: Shu, Xing, Shen, Shiquan, Shen, Jiangwei, Zhang, Yuanjian, Li, Guang, Chen, Zheng, Liu, YongGang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8987387/
https://www.ncbi.nlm.nih.gov/pubmed/35403003
http://dx.doi.org/10.1016/j.xpro.2022.101272

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8987387/
https://www.ncbi.nlm.nih.gov/pubmed/35403003
http://dx.doi.org/10.1016/j.xpro.2022.101272

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