Accurate state of charge estimation of lithium-ion batteries using XGBoost optimized with driving training-based optimization
Fields of Study & Subjects
Advanced Battery Technologies Research
Advancements in Battery Materials
Machine Fault Diagnosis Techniques
Publication details
- Journal / source
- Ionics
- Publisher
- Springer Science and Business Media LLC
- Volume
- 32
- Issue
- 5
- Pages
- 5475–5488
- Publication date
- 11 April 2026
- Language
- EN