EVs Performance and Charging Modelling: Comparison between Simulation and Reality

This paper presents the development and validation of a comprehensive model for Battery Electric Vehicles (BEVs), focusing on accurately predicting energy consumption. The model integrates key components such as the drive cycle, electric motor, battery system, and vehicle dynamics, providing a detailed simulation of BEV performance. Validation is performed using manufacturer data and real-world driving measurements to assess the model's accuracy. Discrepancies between the calculated and actual energy consumption are analyzed, highlighting the influence of unmeasured parameters such as environmental conditions and auxiliary power usage. The findings emphasize the need for incorporating more precise physical and dynamic parameters, including Joule losses and mechanical friction, to improve the model's predictive capability. Furthermore, extending the model to include thermal analyses is proposed to evaluate the effects of heating and cooling on vehicle components. This study underscores the importance of advanced simulation models in enhancing the reliability of energy efficiency predictions for BEVs in real-world scenarios.