This paper presents the modeling, simulation and control of four-Quadrant Brushless DC (BLDC) motor for electric vehicle applications using Model Predictive Control (MPC). The proposed system comprises a Lithium-Ion battery, a bidirectional DC–DC converter, a three-phase voltage source inverter (VSI), and a BLDC motor to achieve efficient power conversion and four-quadrant operation with regenerative braking [1],[6]. A PI controller regulates the bidirectional converter to maintain the DC-link voltage, while Hall sensor feedback is processed within the MPC framework to predict the motor response and determine the optimal control action. The Model Predictive Controller output is applied to a discrete PWM generator, which produces the switching pulses for the VSI. The proposed control strategy enhances dynamic performance, reduces tracking error, and ensures smooth transitions between forward motoring, forward regenerative braking, reverse motoring, and reverse regenerative braking. MATLAB/Simulink results demonstrate effective speed regulation, satisfactory torque characteristics, stable back EMF and stator current, and effective battery voltage, battery current and State Of Charge (SOC) through regenerative braking, confirming the suitability of the proposed MPC-based BLDC drive for high-performance electric vehicle applications.

Keywords- BLDC Motor, Four-Quadrant Operation, Model Predictive Control (MPC), Bidirectional Converter, Lithium-Ion Battery, Regenerative Braking, Voltage Source Inverter.