Design And Optimization Of Permanent Magnet Synchronous Motor For Electric Vehicle

In recent years,China has vigorously promoted new energy electric vehicles.Electric vehicles have the remarkable characteristics of low noise,low emission or even zero emission,high efficiency and energy diversification,which is of great significance to realizing the diversification of transportation energy,safeguarding national energy security,reducing automobile emission pollution and promoting the sustainable development of society.The requirements of electric vehicles for driving motors are small volume,light weight,high power and high torque density,high overload capacity,high efficiency,good environmental adaptability,high reliability,low cost and other characteristics in a wide range of speed regulation.Permanent magnet synchronous motor(PMSM)has become the first choice for electric vehicles due to its simple structure,reliable operation,small size,light weight,low inertia and fast response,high power factor and high power density,and high efficiency.In this paper,a built-in permanent magnet synchronous motor is designed according to the performance indicators of electric vehicles,and then the performance of the designed motor is optimized.First of all,through the classic formula to determine the basic size of the motor,pole slot with the choice,stator,rotor material selection,stator winding structure selection and the selection of rotor pole structure,initially formed a permanent magnet synchronous motor model.Then,the finite element simulation analysis of the motor is carried out by Ansoft Maxwell software.Particle Swarm Optimization(PSO)is easy to understand,the program is short,easy to implement,fast convergence speed,can be used in many fields of science and engineering.In this paper,particle swarm optimization is used to optimize the efficiency,power factor and cog torque of the primary PMSM to find the global optimal advantage.However,particle swarm optimization algorithm has serious shortcomings in local optimization,so the Taguchi method is used to further local optimization,so that the performance of permanent magnet synchronous motor is better.This design combines the advantages of particle swarm optimization algorithm and Taguchi method,which can be regarded as a combination of effective optimization methods.At the end,the rotor eccentricity method was used to optimize the motor’s toothed torque,air-gap magneto-density and air-gap magneto-density waveform,and finally the optimal design model of the motor was obtained.