Rapid diagnosis of power battery faults in new energy vehicles based on improved boosting algorithm and big data

Abstract In recent years, the new energy vehicle industry has developed rapidly. A fast diagnostic method based on Boosting and big data is proposed to address the low accuracy and efficiency of fault diagnosis in new energy vehicle power batteries. Boosting is a machine learning technique that comb...

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Bibliographic Details
Main Authors: Jiali Wang, Jia Chen
Format: Article
Language:English
Published: SpringerOpen 2024-12-01
Series:Energy Informatics
Subjects:
Online Access:https://doi.org/10.1186/s42162-024-00439-8
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