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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Bibliographic Details
Main Authors: Xing Shu, Shiquan Shen, Jiangwei Shen, Yuanjian Zhang, Guang Li, Zheng Chen, Yonggang Liu
Format: Article
Language:English
Published: Elsevier 2021-11-01
Series:iScience
Subjects:
Machine learning
Energy management
Energy storage
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004221012347

Internet

http://www.sciencedirect.com/science/article/pii/S2589004221012347

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