This study introduces a comprehensive dynamic performance analysis of an electric vehicle (EV) system using different control techniques in order to define the most effective control technique for induction motor (IM) in an EV system. The entire EV system components are initially modeled in detail. The electric vehicle system dynamic is then tested using three different controllers: field-oriented control (FOC), model predictive direct torque control (MP-DTC),and finite control set predictive current control (FCS-PCC) techniques. The implementation of the FOC is based on a hysteresis current controller (HCC) which forces the input current of the IM to follow the reference current. The MP-DTC implementation is standing on a cost function which consists of the absolute errors of both the torque and flux with a weighting factor. Meanwhile, the operation of the PCC scheme articulates on a designed cost function that guarantees the minimum error between the predicted and reference currents. The EV system dynamic performance is tested by simulation using MATLAB/Simulink software. The obtained results illustrated that the electrical and mechanical dynamics of the vehicle under the PCC technique exhibit better performance compared to the results obtained using the other two control techniques. This is illustrated through the fast-dynamic response, low torque and flux ripples, and low current harmonics.