Application of pid algorithm in drive fault-tolerant control of four-wheel drive electric vehicle

Objective: The objective of this study is to study the application of PID algorithm in the drive fault-tolerant control of four-wheel drive electric vehicle, and to improve the stability of electric vehicle. Method: The dynamic model of vehicle is analysed and modelled to obtain the reference value of vehicle running in steady state. Then, the hub motor is used to study the direct torque of a single Brushless Direct Current Motor (BLDCM). The fuzzy PID controller based on the yaw rate and the sideslip angle of the centre of mass is designed. In the environment of Simulink and CarSim, the whole vehicle simulation model of electric vehicle is established. The whole vehicle system is simulated and analysed. Results: Under the condition of straight line, lane change and overtaking, the running state of the fault motor in different time, different location and different location is simulated. The simulation results show the validity and correctness of the design strategy. Conclusion: In this study, the designed drive fault-tolerant control strategy can effectively control the running stability of the vehicle in different states, so that the vehicle can still run stably in case of hub motor failure, and improve the safety of drivers and passengers. © 2020, Cefin Publishing House. All rights reserved.