Figure compares the MAPE results for velocity and current models for two different time intervals. The MAPE values from early predictions 1 and 2 for both velocity and current models exhibit comparable results. For instance, the best-performing current model 2 at early predictions 1 and 2 demonstrates MAPE values of approximately 4.3% and 2.7%. This suggests that data from the initial few hundred seconds is sufficient for estimating the charge saving score, provided the training data closely resembles real-world conditions. Moreover, these results underscores that having early and accurate prediction enables drivers to make modification in trip in terms of route, driving and charging strategies. Furthermore, in both early prediction 1 and 2, the MAPE values of velocity models are twice as high as those of current models. This is primarily attributed to the rich dataset of current profiles, which have a stronger correlation with the charge saving score compared to velocity profiles data. Notably, the addition of new features significantly reduces the MAPE values for velocity models, making this approach more practical and valuable for providing real-time feedback to drivers.