A novel hybrid genetic algorithm for optimal design of IPM machines for electric vehicle

Abstract

A novel hybrid genetic algorithm (HGA) is proposed to optimize the rotor structure of an IPM machine which is used in EV application. The finite element (FE) simulation results of the HGA design is compared with the genetic algorithm (GA) design and those before optimized. It is shown that the performance of the IPMSM is effectively improved by employing the GA and HGA, especially by HGA. Moreover, higher flux-weakening capability and less magnet usage are also obtained. Therefore, the validity of HGA method in IPMSM optimization design is verified.

Keywords

• genetic algorithm (ga)
• taguchi method
• hybrid genetic algorithm (hga)
• ipmsm
• optimal design
• 88.85.hj