A physics-informed deep learning framework for remaining useful life prediction of lithium-ion batteries with feature subset construction
Fields of Study & Subjects
Advanced Battery Technologies Research
Advancements in Battery Materials
Machine Fault Diagnosis Techniques
Publication details
- Journal / source
- Energy
- Publisher
- Elsevier BV
- Volume
- 346
- Pages
- 140288–140288
- Publication date
- 31 January 2026
- Language
- EN