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

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

Summary: 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...

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Autores principales: Xing Shu, Shiquan Shen, Jiangwei Shen, Yuanjian Zhang, Guang Li, Zheng Chen, Yonggang Liu
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
Materias:
Machine learning
Energy management
Energy storage
Science
Q
Acceso en línea:https://doaj.org/article/d9e93810ba434890864e31059f126034
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