Online Fault Tolerant RUL Prediction Strategy for Lithium-Ion Batteries Using Machine Learning

Online Fault Tolerant RUL Prediction Strategy for Lithium-Ion Batteries Using Machine Learning

The deterioration of lithium-ion batteries can lead to electrical system failures and potentially catastrophic consequences. Consequently, predicting the remaining useful life (RUL) of batteries is essential to prevent such failures and related issues. Reliable, accurate, and straightforward RUL pre...

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Bibliographic Details
Main Authors: Brahim Zraibi, Mohamed Mansouri, Chafik Okar, Hicham Chaoui
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Lithium-ion batteries
machine learning
remaining useful life
long short-term memory
recurrent neural network
convolutional neural network
Online Access:https://ieeexplore.ieee.org/document/10938530/
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https://ieeexplore.ieee.org/document/10938530/

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