A Comprehensive Signal-Based Fault Diagnosis Method for Lithium-Ion Batteries in Electric Vehicles

A Comprehensive Signal-Based Fault Diagnosis Method for Lithium-Ion Batteries in Electric Vehicles

To enhance the operational reliability and safety of electric vehicles (EVs), big data platforms for EV supervision are rapidly developing, which makes a large quantity of battery data available for fault diagnosis. Since fault types related to lithium-ion batteries play a dominant role, a comprehen...

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Bibliographic Details
Main Authors: Xinwei Cong, Caiping Zhang, Jiuchun Jiang, Weige Zhang, Yan Jiang, Linjing Zhang
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Energies
Subjects:
dimensionless indicator
fault diagnosis
lithium-ion battery
unsupervised learning
variational mode decomposition
Online Access:https://www.mdpi.com/1996-1073/14/5/1221

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https://www.mdpi.com/1996-1073/14/5/1221

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