General Machine Learning Approaches for Lithium-Ion Battery Capacity Fade Compared to Empirical Models

General Machine Learning Approaches for Lithium-Ion Battery Capacity Fade Compared to Empirical Models

Today’s growing demand for lithium-ion batteries across various industrial sectors has introduced a new concern: battery aging. This issue necessitates the development of tools and models that can accurately predict battery aging. This study proposes a general framework for constructing battery agin...

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Bibliographic Details
Main Authors: Quentin Mayemba, Gabriel Ducret, An Li, Rémy Mingant, Pascal Venet
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Batteries
Subjects:
capacity loss
battery aging
empirical model
machine learning
artificial neural network
autoencoder
Online Access:https://www.mdpi.com/2313-0105/10/10/367
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