Fault Diagnosis Method for Lithium-ion Batteries Based on Image Features and Improved Isolated Forests

Journal:
Energy
Published:
DOI:
10.1016/j.energy.2025.138849
Affiliations:
3
Authors:
8
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Institutions Authors Share
Huazhong University of Science and Technology (HUST), China
6.500000
 0.81
POWERCHINA, China
1.000000
 0.13
Beijing Institute of Technology (BIT), China
0.500000
 0.06
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