A Real-Time Framework for Segment-Level SOC Variation Prediction in Electric Vehicles Using a Stacking Ensemble
Accurate prediction of state-of-charge (SOC) variation is important for range estimation and energy management in battery electric vehicles (BEVs), but segment-level SOC consumption is jointly affected by driving behavior, battery condition, and traffic context. This study proposes a real-time SOC variation prediction...