Battery fault diagnosis for in-service electric vehicles
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