Abstract: In order to solve the problem that the finite element method (FEM) needs too long calculation time in the process of motor optimization design, this paper combined with the previous studies, and put forward a method to improve the optimization efficiency by using the mixed analytic finite element model. Firstly, the modeling method of the analytical-finite element hybrid model is summarized. Aiming at a vernier permanent magnet motor to be optimized, the hybrid model is established and used as the bottom design of the optimization program. At the same time, the genetic algorithm is combined in the top design to realize the multi-objective optimization of the motor. Finally, the effectiveness of the optimization scheme was verified using Ansys Maxwell software.