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Matches in SemOpenAlex for { <https://semopenalex.org/work/W4378364256> ?p ?o ?g. }

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• W4378364256 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." @default.
• W4378364256 created "2023-05-27" @default.
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• W4378364256 date "2023-09-01" @default.
• W4378364256 modified "2023-09-29" @default.
• W4378364256 title "Voltage fault diagnosis of a power battery based on wavelet time-frequency diagram" @default.
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• W4378364256 doi "https://doi.org/10.1016/j.energy.2023.127920" @default.
• W4378364256 hasPublicationYear "2023" @default.
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