Multi-Channel Profile Based Artificial Neural Network Approach for Remaining Useful Life Prediction of Electric Vehicle Lithium-Ion Batteries

Remaining useful life (RUL) is a crucial assessment indicator to evaluate battery efficiency, robustness, and accuracy by determining battery failure occurrence in electric vehicle (EV) applications. RUL prediction is necessary for timely maintenance and replacement of the battery in EVs. This paper...

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Auteurs principaux:	Shaheer Ansari, Afida Ayob, Molla Shahadat Hossain Lipu, Aini Hussain, Mohamad Hanif Md Saad
Format:	article
Langue:	EN
Publié:	MDPI AG 2021
Sujets:	lithium-ion battery remaining useful life electric vehicles backpropagation neural network multi-channel input (MCI) profile Technology T
Accès en ligne:	https://doaj.org/article/8773643e040a41459c1978729eacd85c
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Multi-Channel Profile Based Artificial Neural Network Approach for Remaining Useful Life Prediction of Electric Vehicle Lithium-Ion Batteries

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