| With China’s continuous accumulation of 5G core technologies,automotive services and operations based on "cloud ecology + AI ecology" will take the lead in the field of new energy vehicles in the future.At present,new energy vehicles are transitioning from single-motor centralized drive to multi-motor distributed drive.Among them,in-wheel motor drive is widely used as the most advanced drive technology in distributed drive.However,the use of in-wheel motor drive is easy to cause torque pulsation,which causes the four-wheel cooperative control to fail.At the same time,the energy recovery rate of new energy vehicles is also an important factor to ensure long battery life.Among them,a perfect regenerative braking control strategy is required to support it.This project cooperates with the project enterprises to study distributed drive electric vehicles as the research object,and to study the coordinated control technology and regenerative braking control strategies of distributed in-wheel motor-driven passenger cars.For the conventional double closed-loop PI control algorithm,it is easy to cause the speed response to fluctuate due to the change of the load torque,which leads to the inability to coordinate the four wheels.This paper proposes a double closedloop drive control algorithm based on load self-tuning.Segment and perform tuning to obtain a set of PI parameter tables,and then calculate the corresponding PI parameters in real time from the load torque of the electric vehicle during operation to ensure driving stability under different road conditions.The validity of the algorithm was verified through simulation.Concerning the contradiction between common braking force distribution schemes that are difficult to balance braking safety and energy recovery as much as possible,an electric vehicle braking force distribution scheme suitable for this project is proposed,and the braking force distribution coefficients of the front and rear wheels are obtained by calculating the peak condition of regenerative braking force.Development of regenerative braking control strategies.By building a distributed drive control platform,the drive control algorithm for the collaborative control of electric vehicles is further verified.The verification results show the effectiveness of the drive control algorithm,and it is worth popularizing. |