Advanced Machine Learning and Deep Learning Approaches for Estimating the Remaining Life of EV Batteries—A Review

Advanced Machine Learning and Deep Learning Approaches for Estimating the Remaining Life of EV Batteries—A Review

This systematic review presents a critical analysis of advanced machine learning (ML) and deep learning (DL) approaches for predicting the remaining useful life (RUL) of electric vehicle (EV) batteries. Conducted in accordance with PRISMA guidelines and using a novel adaptation of the Downs and Blac...

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Bibliographic Details
Main Authors: Daniel H. de la Iglesia, Carlos Chinchilla Corbacho, Jorge Zakour Dib, Vidal Alonso-Secades, Alfonso J. López Rivero
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Batteries
Subjects:
lithium-ion battery
electric vehicle
battery management system
remaining useful life
machine learning
deep learning
Online Access:https://www.mdpi.com/2313-0105/11/1/17
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