Comprehensive Review of Machine Learning, Deep Learning, and Digital Twin Data-Driven Approaches in Battery Health Prediction of Electric Vehicles

Comprehensive Review of Machine Learning, Deep Learning, and Digital Twin Data-Driven Approaches in Battery Health Prediction of Electric Vehicles

This paper presents a comprehensive survey of machine learning, deep learning, and digital twin technology methods for predicting and managing the battery state of health in electric vehicles. Battery state of health estimation is essential for optimizing the battery usage, performance, safety, and...

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Bibliographic Details
Main Authors: A. Pravin Renold, Neeraj Singh Kathayat
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Machine learning models
deep learning models
data-driven methods
lithium-ion batteries
digital twin technology
battery health prediction
Online Access:https://ieeexplore.ieee.org/document/10477658/

Internet

https://ieeexplore.ieee.org/document/10477658/

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