Timely multi-fault diagnosis and prognostics for lithium-ion batteries of electric vehicles based on hybrid neural network and anomaly detection
Fields of Study & Subjects
Advanced Battery Technologies Research
Machine Fault Diagnosis Techniques
Fault Detection and Control Systems
Publication details
- Journal / source
- Journal of Energy Storage
- Publisher
- Elsevier BV
- Volume
- 150
- Pages
- 120026–120026
- Publication date
- 12 January 2026
- Language
- EN