Battery performance prediction using supervised learning: a comparative study
How dataset characteristics, feature linearity, and model complexity influence SOC prediction accuracy are highlighted, providing insights into selecting appropriate ML models for battery management systems while emphasizing the importance of dataset transparency, interpretability, and generalization analysis.