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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Autores principales:	Shaheer Ansari, Afida Ayob, Molla Shahadat Hossain Lipu, Aini Hussain, Mohamad Hanif Md Saad
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	lithium-ion battery remaining useful life electric vehicles backpropagation neural network multi-channel input (MCI) profile Technology T
Acceso en línea:	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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