Research On Electronic Differential System And Algorithms For Electric Vehicles

With the continuous development of electric vehicle technology,concept innovation and people’s requirements for driving safety and stability,the development direction of electric vehicles in the future will definitely get rid of the complex mechanical structure of traditional fuel vehicles and develop towards the direction of distributed drive.In distributed drive,traditional mechanical drive is abandoned.Therefore,an electronic differential system adapted to this structure needs to be developed.SRD laboratory design in this paper the iSR-1 intelligent dual drive electric vehicles as the foundation,in view of the distributed power and electronic differential system to study the key technology and algorithm,and then from the theoretical system and complete the design of relevant experience,perfect the iSR-1 the design of the intelligent double drive electric vehicles,for the future of electric vehicles to provide theoretical basis for design and control of distributed drive.The power source,steering system and driving motor of the iSR-1 electric vehicle are different from today’s electric vehicles.In this paper,Matlab/Simulink and Carsim are used for joint simulation,which reduces the construction of complex modules,and the simulation results are closer to the reality,thus improving the real test means for the proposed control algorithm.In this paper,the parameters of the whole vehicle are set according to the early design of iSR-1 intelligent double-drive electric vehicle,and the parameters of the driving motor and the peak parameters are matched.Based on the control theory of yaw moment and slip rate,electronic differential control is simulated and analyzed.According to different driving conditions of vehicles,the yaw moment and slip rate control algorithms are improved and improved to meet the differential requirements of various road conditions.The differential system is verified by subsequent relevant simulation tests,which provides theoretical support for subsequent actual road condition tests of the vehicle.