Physically interpretable and experimentally validated uncertainty-aware causal fusion network for real-time fault diagnosis and risk quantification in lithium-ion batteries for electric vehicles
Fields of Study & Subjects
Advanced Battery Technologies Research
Fault Detection and Control Systems
Machine Fault Diagnosis Techniques
Publication details
- Journal / source
- Journal of Energy Storage
- Publisher
- Elsevier BV
- Volume
- 153
- Pages
- 121054–121054
- Publication date
- 17 February 2026
- Language
- EN