A Novel Hybrid Genetic Algorithm for Optimal Design of Interior Permanent Magnet Machine

摘要

A hybrid genetic algorithm (HGA) is proposed to optimize the rotor shape of an Interior permanent magnet machine which is used in EV application. The novel method obtain lower iron loss and torque ripple as well as higher average torque and efficiency for the machine. The optimization results of the HGA design is compared with the initial and genetic algorithm designs. It is shown that the performance of the IPMSM is effectively improved by employing the GA and HGA, especially by adopting HGA. Moreover, better flux-weakening capability and less mass magnet is also obtained by these methods.