Performance Assessment of the BLDC Motor in EV Drives using Nonlinear Model Predictive Control

In this paper, the Nonlinear Model Predictive Control (NMPC) technique is proposed for control of BrushLess Direct Current (BLDC) motors to address problem over-excitation, specifically in Electric Vehicle (EV) applications. This over-excitation increases overall energy consumption machine and eventually reduces vehicle’s driving range. The developed NMPC incorporates a nonlinear model BLDC motor with EV load obtains optimal current through voltage applied regulate torque. compared three conventional techniques, Field-Oriented (FOC), Torque (DTC), hybrid (the combination DTC FOC) control. It observed from simulation results that controller more efficient while maintaining performance. paper also discusses selection based on specified vehicle requirements. has been done by matching speed-torque characteristic curve motor’s one.