Data-driven models with novel feature factors for sensorless prediction of lithium battery internal temperature
Fields of Study & Subjects
Advanced Battery Technologies Research
Advanced Battery Materials and Technologies
Silicon Carbide Semiconductor Technologies
Publication details
- Journal / source
- Journal of Energy Storage
- Publisher
- Elsevier BV
- Volume
- 147
- Pages
- 119975–119975
- Publication date
- 6 January 2026
- Language
- EN