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Voltage fault diagnosis of a power battery based on wavelet time-frequency diagram

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  • Chang, Chun
  • Wang, Qiyue
  • Jiang, Jiuchun
  • Jiang, Yan
  • Wu, Tiezhou

Abstract

A fault diagnosis method for electric vehicle power batteries based on a time-frequency diagram is proposed. First, the original voltage signal is decomposed by improved variational mode decomposition to eliminate the influence of battery inconsistency on battery feature extraction. Then, the continuous wavelet transform is used to transform the one-dimensional signal into a two-dimensional time-frequency diagram, and the image entropy is used to reflect the characteristic parameters of the battery fault. Finally, the abnormal battery is marked with clustering algorithm. It is verified by real vehicle data that the proposed method can identify the battery fault and advance the identification time.

Suggested Citation

  • Chang, Chun & Wang, Qiyue & Jiang, Jiuchun & Jiang, Yan & Wu, Tiezhou, 2023. "Voltage fault diagnosis of a power battery based on wavelet time-frequency diagram," Energy, Elsevier, vol. 278(PB).
    • Handle: RePEc:eee:energy:v:278:y:2023:i:pb:s0360544223013142
    DOI: 10.1016/j.energy.2023.127920
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    References listed on IDEAS

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    Cited by:

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