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Research on Early Fault Diagnosis of Lithium Battery Based on WOA-VMD and Shannon Entropy
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Jie Hu1, 2, 3, Yayu Cheng1, 2, 3, Hai Yu1, 2, 3, Chaoming Jia1, 2, 3, Haihua Qing1, 2, 3
Automotive Engineering | 2024, 46(7) : 1189 - 1196
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Automotive Engineering | 2024, 46(7): 1189-1196
Research on Early Fault Diagnosis of Lithium Battery Based on WOA-VMD and Shannon Entropy
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Jie Hu1, 2, 3, Yayu Cheng1, 2, 3, Hai Yu1, 2, 3, Chaoming Jia1, 2, 3, Haihua Qing1, 2, 3
Affiliations
  • 1. Wuhan University of Technology，Hubei Key Laboratory of Modern Automotive Parts Technology，Wuhan 　430070
  • 2. Wuhan University of Technology，Hubei Collaborative Innovation Center for Automotive Parts Technology，Wuhan 　430070
  • 3. Hubei Engineering Technology Research Center for New Energy and Intelligent Connected Vehicles，Wuhan 　430070
Published: 2024-07-25 doi: 10.19562/j.chinasae.qcgc.2024.07.006
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A lithium battery early fault diagnosis method based on WOA-VMD and Shannon entropy is proposed in this paper to solve the problem of current battery management systems being unable to diagnose early faults. Firstly， the whale optimization algorithm is introduced to optimize the parameters of the variational mode decomposition algorithm to improve its decomposition performance and obtain intrinsic mode function components containing more fault feature information. Then， the voltage signal of the individual battery is decomposed and reconstructed to reduce the impact of measurement noise and additional excitation voltage. Furthermore， a sliding window is used to calculate the Shannon entropy range of individual voltage and the overall Shannon entropy of individual voltage dispersion to set appropriate thresholds for early fault diagnosis. After verification with actual vehicle data， this method can provide fault warning about 10 minutes in advance without generating false warnings for vehicles without faults. It has strong robustness and reliability.

whale optimization algorithm  /  variational mode decomposition algorithm  /  Shannon entropy  /  fault diagnosis
Jie Hu, Yayu Cheng, Hai Yu, Chaoming Jia, Haihua Qing. Research on Early Fault Diagnosis of Lithium Battery Based on WOA-VMD and Shannon Entropy[J]. Automotive Engineering, 2024 , 46 (7) : 1189 -1196 . DOI: 10.19562/j.chinasae.qcgc.2024.07.006
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Article Info
doi: 10.19562/j.chinasae.qcgc.2024.07.006
  • Receive Date：2023-12-27
  • Online Date：2025-07-29
  • Published：2024-07-25
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History
  • Received：2023-12-27
  • Revised：2024-02-28
Funding
Affiliations
    1. Wuhan University of Technology，Hubei Key Laboratory of Modern Automotive Parts Technology，Wuhan 　430070
    2. Wuhan University of Technology，Hubei Collaborative Innovation Center for Automotive Parts Technology，Wuhan 　430070
    3. Hubei Engineering Technology Research Center for New Energy and Intelligent Connected Vehicles，Wuhan 　430070
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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