Iron-Loss Modeling With Sensorless Predictive Control of PMBLDC Motor Drive for Electric Vehicle Application

Permanent-magnet brushless dc motor (PMBLDCM) is more suitable for electric vehicle (EV) with higher torque and driving performance. A suitable loss modeling of PMBLDCM with proper analysis can improve the control stability at different road surface conditions. However, the iron loss is not minimal enough to be ignored during high-speed operation of PMBLDCM drives. This article proposes a disturbance observer-based sensorless drive control for accurate estimation of the rotor position. This is achieved by taking the iron loss into consideration in order to further reduce the rotor position estimation error. A modified model predictive control is also proposed to deal with the novel modeling to provide torque ripple-free operation at reduced losses. The EV performances are compared for lossless and loss model of PMBLDCM through both simulation and experimental validation.