Article révisé par les pairs
Résumé : This paper addresses a virtual prototyping and testing method intended for electromechanical components in the context of the electric vehicle market. The focus point is the battery energy consumption when simulating different reference driving cycles and monitoring the electric machine performance parameters. The author adopted a Model-based (MBD) design approach distinguished by Model-in-the-loop (MiL) simulation and Hardware-in-the-loop (HiL) testing. This is constructed through a process of co-simulation between a MATLAB/Simulink electric drive indirect field oriented control (IFOC) model and an AMESim forward-facing electric vehicle model for the offline case and real-time file generation between the same software environments plus the Triphase interface that commands the mechanical coupled induction machines on the test-bench done in the online case. The vehicle model takes into account the signal received from the driver model and commands the vehicle control unit (VCU) in a way that permits energy consumption management through the use of regenerative braking. An estimation of the DC current at the level of the battery terminals and an efficiency map of the real induction machine were needed to achieve the battery energy consumption results. Finally, the energy consumption in Wh/km is obtained by dividing the consumed battery energy by the distance traveled by the vehicle. By monitoring the speed, torque and energy consumption in the offline and online tests we remarked the similarity between the different variables and we can determine which drive cycle is more energy demanding.