Trip-End Battery State of Charge Prediction for Electric Vehicles Using a Physics-Constrained Machine Learning Stacking Ensemble
This study proposes an approach for predicting the state of charge (SoC) of an electric vehicle battery at the end of an individual operational interval using parameters available before the start of the trip. The input features included the initial SoC, trip distance, and ambient temperature. The driving range estimat...