Prediction of Driving Range per Charge for e-Mobility using a Vehicle Dynamics Model

This paper presents a method for predicting the driving range of an e-mobility on a single charge. In the development of innovative e-mobility solutions, the range attainable on a single charge serves as a critical performance indicator. The driving range is significantly related to the battery system of the e-mobility. Accurate predictions of the driving range can shorten the battery design process and reduce costs in the development of battery systems. A longitudinal dynamics model of the vehicle is introduced to predict the single-charge driving range of the e-mobility. Within the driving cycle, the output exerted by the motor is calculated, as well as the energy consumed by the battery. Prediction of the decrease in the state-of-charge of the battery pack during driving is used for estimating the driving range. The proposed method is validated through MATLAB/Simulink-based simulations and experiments, showing an error rate of around 1% in the driving distance of e-mobility.