Permanent Magnet Synchronous Motors (PMSMs) have become the dominant choice in high-performance electric vehicle (EV) propulsion systems due to their superior torque density, high efficiency, and excellent dynamic characteristics. Classical Field-Oriented Control (FOC) ensures decoupled torque and flux regulation but exhibits limited transient performance under fast dynamic load variations. Model Predictive Control (MPC), on the other hand, provides rapid torque response and constraint handling but often suffers from computational complexity and switching frequency variation. This paper presents an enhanced hybrid Field-Oriented Predictive Control (FO–MPC) scheme for PMSM drives that integrates the steady-state smoothness of FOC with the dynamic adaptability of MPC. The proposed controller employs dq-axis current regulation with predictive torque optimization, ensuring low torque ripple and high-speed transient response. A comparative simulation study in MATLAB/Simulink demonstrates that the hybrid controller achieves a 30–40% reduction in torque settling time compared to conventional FOC, with approximately 25% lower current total harmonic distortion (THD) than finite control set MPC (FCS-MPC). The findings suggest that FO–MPC provides a robust and efficient alternative for EV traction applications where fast dynamics and energy efficiency are critical.