Optimization Design Of PMSWM For Electric Wheel Vehicle And Distribution Of Regenerative Braking Strategies

With the increasingly serious energy shortage and environmental problems,electric wheel vehicle,as an important branch of electric vehicle,has the advantages of simple structure,simple operation,light weight and accurate control,and has gradually won the attention of domestic and foreign researchers.In order to solve the problem of short distance traveled by electric wheel vehicles after completing a single charge,this paper studies the distribution strategy of electric wheel vehicles motor and mechanical regenerative braking.When the electric wheel vehicles decelerate and brake,the output force of the electric braking depends on driving motor,therefore,this article fundamentally designs and optimizes the driving motor-permanent magnet synchronous in-wheel motor to increase its force output under deceleration or braking conditions,which in turn enables electric wheels to recover more energy.Finally,using ADVISOR and MATLAB/Simulink to build a joint simulation model to verify the research content.The details are as follows:(1)According to the basic dynamic parameters of an electric wheel vehicle,the permanent magnet synchronous in-wheel motor for electric wheel vehicle is designed,and its basic operating parameters are determined and verified.At the same time,the electromagnetic parameters are designed and calculated,and the preliminary design scheme is simulated and analyzed by using Maxwell software.The simulation results show that the designed permanent magnet synchronous in-wheel motor is reasonable.(2)The HPSO algorithm is used to optimize the preliminary design of permanent magnet synchronous in-wheel motor.Firstly,the principle and operation steps of HPSO algorithm are described.Secondly,the optimization mathematical model of permanent magnet synchronous in-wheel motor is established,including the establishment of objective functions,the selection of optimization objectives and the setting of constraints.Finally,MATLAB is used to compile programs to optimize the selected optimization subjects of permanent magnet synchronous in-wheel motor.The simulation results show that compared with the traditional design scheme,PSO optimization algorithm reduces the iron consumption of permanent magnet synchronous hub motor by 2.83%,increases the motor efficiency by 1.69%,increases the output electromagnetic torque by 2.13%,and reduces the cogging torque by 2.7%;Compared with PSO algorithm,HPSO algorithm reduces iron consumption of permanent magnet synchronous hub motor by 2.06%,increases motor efficiency by 2.55%,increases output electromagnetic torque by 3.38%,and reduces cogging torque by 2.78%(3)The composition and working principle of regenerative braking system of electric wheel vehicle based on permanent magnet synchronous in-wheel motor are summarized,and the influencing factors of regenerative braking system are analyzed.According to the braking intensity,the ideal braking force curve and ECE regulation line are calculated to determine the electric mechanism and brake braking force of the front and rear wheels of the electric wheel vehicle.On this basis,this paper proposes a fuzzy logic control strategy to realize the reasonable distribution of electric mechanism power and brake force.(4)ADVISOR is used to build the vehicle model of electric wheel vehicle based on permanent magnet synchronous in-wheel motor and Matlab/Simulink is used to build the fuzzy logic control model.The fuzzy logic control model is embedded into the vehicle model for joint simulation.The simulation results show that when the SOC of the battery drops to 0.1,compared with the fuzzy logic control strategy of the non-optimized PMSWM model,the fuzzy logic control strategy of the optimized PMSWM model increases the driving time of the electric-wheeled vehicle by 4.47%under the fuzzy logic control strategy of the non-optimized PMSWM model and the ADVISOR’s own look-up table control strategy.Compared with the control strategy with look-up table,the fuzzy logic control strategy of the optimized PMSWM model increases the driving time of the electric wheel vehicle by 8.2%.At the same time,the proposed fuzzy logic control strategy reduces the difference between the actual speed and the theoretical speed of the electric wheel vehicle by 8.8mphand has good stability.