Joint prediction of polarization losses and internal states in fuel cell via time–frequency feature fusion and machine learning
Fields of Study & Subjects
Fuel Cells and Related Materials
Advanced Battery Technologies Research
Electric and Hybrid Vehicle Technologies
Publication details
- Journal / source
- eTransportation
- Publisher
- Elsevier BV
- Volume
- 28
- Pages
- 100548–100548
- Publication date
- 16 January 2026
- Language
- EN