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

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
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Acceso en línea:https://doaj.org/article/8773643e040a41459c1978729eacd85c
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https://doaj.org/article/8773643e040a41459c1978729eacd85c

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