Estimation of the residual useful life of EV batteries using advanced hybrid learning tools
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Electrical and Electronic Engineering
Link
https://link.springer.com/content/pdf/10.1007/s00202-023-02071-3.pdf
Reference41 articles.
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4. Zhang Q, Yang L, Guo W, Qiang J, Peng C, Li Q, Deng Z (2022) A deep learning method for lithium-ion battery remaining useful life prediction based on sparse segment data via cloud computing system. Energy 241:122716
5. Li X, Yuan C, Wang Z, He J, Shike Yu (2022) Lithium battery state-of-health estimation and remaining useful lifetime prediction based on non-parametric aging model and particle filter algorithm. ETransportation 11:100156
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