We also introduce a new quantitative metric called charge usage score for assessing SOC drop of each trip by comparing each to a reference trip with the maximum SOC drop (or constant maximum velocity). To estimate this score accurately, we developed machine learning models based on velocity and current profiles. Overall, current-based models showed high accuracy since they inherently included behavioral and terrain features, highlighting their importance in making accurate predictions.