Research data supporting the publication "Rapid prediction of electrolyte-based cell failure in retired Li-ion Electric Vehicle pouch cells"
Abstract
1. Cycling_Discharge-Capacities_CP1-and-CP2 2. EIS dataset CP1 at various SOCs (100, 80, 60, 40, 20%) 3. EIS dataset CP2 at various SOCs (100, 80, 60, 40, 20%)
Fields of Study & Subjects
Advanced Battery Technologies Research
Advancements in Battery Materials
Extraction and Separation Processes
Publication details
- Journal / source
- University of Birmingham Research Portal (University of Birmingham)
- Publication date
- 4 February 2026
- Document type
- Dataset