Battery fault diagnosis for in-service electric vehicles

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Authors: Jinwen Li
Cited by: 0

Abstract

Data and code for paper "Cross-modal topology decodes battery faults from sparse voltage snapshots".Please cite our paper (J. Li, Y. Che, S. Onori, W. Li, X. Hu, Decoupling battery faults from sparse voltage snapshots via cross-modal topology) if the data or code is used. Data: The voltage snapshots of all EVs. Label: The labels corresponding to each voltage snapshot. Source data: The source data of the main results in the paper. Code: Python codes for the developed cross-modal learning in battery fault diagnosis. More details can be found in readme.

Fields of Study & Subjects

Advanced Battery Technologies Research Fault Detection and Control Systems Electrical Fault Detection and Protection

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 February 2026