The rapid advancement of electric vehicles (EVs) underscores the necessity for improved testing methodologies capable of accurately reproducing real-world driving conditions. This work focuses on the design and modeling of a laboratory platform presented as an Electric Vehicle Dynamics Emulator (EVDE), specifically developed to replicate the dynamic operating environment of EVs. The EVDE provides a controlled yet realistic framework for evaluating performance, efficiency, and durability across diverse operating scenarios. In this case study, a three-phase induction motor (IM) is employed as the traction drive, regulated via a current-sensorless indirect Field-Oriented Control (FOC). The dynamics of EVs are emulated through the application of vehicle-equivalent rotational inertia, calibrated to the ECE R15 driving cycle and an artificially modeled road slope to reflect variations in traffic and roadway geometry. To enhance the operational efficiency of the EVDE, a Predictive Power Management Unit (PPMU) is proposed and integrated in the overall system. Simulation studies conducted in MATLAB/Simulink evaluate the performance of the EVDE and its embedded PPMU, confirming their potential to advance automotive research and support the development of intelligent energy management systems.