Optimization of High-Efficiency Region of EV Traction Motor through Innovative Motor Constant Considering the Current Angle and Iron Loss

This paper presents a novel definition of motor constants that integrates iron loss, current angle, and copper loss, providing a comprehensive assessment of motor performance and efficiency. By incorporating this innovative motor constant into the optimization process, multi-objective optimization becomes more streamlined, leading to enhanced motor designs with expanded high-efficiency operational ranges. The Genetic Algorithm (GA) optimization approach employed in this study, utilizing the new motor constant with the current angle as the fitness function, enables the identification of optimal parameters for the motor stator to maximize the high-efficiency operational range in the field weakening (FW) region. The analyses uncover a significant correlation between the new motor constant and efficiency, considering the influence of the current angle to achieve broader high-efficiency operational ranges. The electromagnetic properties of the designed motors are thoroughly examined and validated using finite element analysis (FEA).