Simulation Analysis of Electrical Vehicle’s Remaining Discharge Energy Based on Driving Profile Prediction

Both internal characteristics and operation conditions of the battery pack influence the remaining discharge energy (RDE) and driving range of electric vehicles (EVs). To analyze such influences, a battery pack model and an electric motor model are designed and combined to simulate the operation of EVs under different driving profiles. Firstly, a clustering algorithm combined with Markov prediction is employed to predict future driving profiles of vehicles by grouping various power levels under typical driving conditions into defined states. Next, the battery pack, inverter, and electric motor in an EV are modeled, considering inconsistencies in the battery state of charge and temperature. Then, the EV’s RDEs are simulated based on the predicted future driving profiles. Finally, the predicted RDEs of the investigated battery pack under various battery and driving conditions are compared and analyzed to provide accurate data support for estimating the EV’s remaining driving range under practical driving conditions.