Design And Simulation Optimization Of Switched Reluctance Motor For In-wheel Electric Vehicle

In-wheel motor has become an important direction of electric vehicle development,due to its advantages of simplifying the system structure,improving the transmission efficiency and the independent control,etc.However,due to the requirements of the electric vehicle’s high performance and the limited installation space,the torque density,torque ripple and overload capacity are essential in the design of in-wheel motor.The decelerated-drive in-wheel motor is one of the hub motor,which integrates the inner rotor drive motor with the retarding mechanism.Aiming at the design requirements of high speed inner rotor driving motor applied to the decelerated-drive in-wheel motor,the advantages and disadvantages of several commonly used driving motors are analyzed,and a switched reluctance motor is designed.This paper firstly analyzes the characteristics of the two driving modes of the hub motor.According to the power performance requirements of the electric vehicle,the design parameters of the driving motor are determined.The basic principle,basic structure and design process of switched reluctance motor are introduced.Based on the design theory of switched reluctance motor and the design experience of traditional motor,a three-phase 12/8 pole switched reluctance motor of 32 kW is designed.According to the initial parameters of the motor,the modeling and simulation analysis are carried out by ANSYS Maxwell software,and some parameters of the motor are parameterized and analyzed.The influence of the motor air gap,the rotor pole arc and the stator yoke thickness on the motor torque is discussed,and the size parameters of the motor are determined.In order to optimize the torque of the motor,a new fixed rotor tooth pole structure is proposed.Based on the ANSYS Maxwell software,the genetic algorithm is used to optimize the parameters.The motor torque is increased and the torque ripple is reduced.The optimization of parameter and the optimization of tooth structure is combined.The genetic algorithm is used to optimize the ANSYS Maxwell software.Compared with the single parameter optimization and tooth structure optimization,the optimization results show that the torque of switched reluctance motor has been improved,the torque ripple suppression.