State of health prediction of lithium-ion batteries based on machine learning: Advances and perspectives

Accurate state of health (SOH) prediction is significant to guarantee operation safety and avoid latent failures of lithium-ion batteries. With the development of communication and artificial intelligence technologies, a body of researches have been performed toward precise and reliable SOH predicti...

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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 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8567399/
https://www.ncbi.nlm.nih.gov/pubmed/34761185
http://dx.doi.org/10.1016/j.isci.2021.103265

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8567399/
https://www.ncbi.nlm.nih.gov/pubmed/34761185
http://dx.doi.org/10.1016/j.isci.2021.103265

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