Study of TCS for All Electric Independent Driving and Braking Electric Vehicle of Dual Axles

2nd International Symposium on Resource Exploration and Environmental Science

生态环境科学

Yang, Kun^1 ; Wang, Jie^1 ; Ma, Chao^1 ; Tan, Di^1 ; Wang, Youtang^1 ; Liu, Jishun^2

School of Transportation and Vehicle Engineering, Shandong University of Technology, Zibo

255049, China^1

IAT Automobile Technology Corporation Limited, Beijing

100076, China^2

关键词: Acceleration performance;    Acceleration time;    Adhesion coefficient;    BP neural networks;    Electric independent driving;    Electromechanical brake;    Independent driving;    Simulation platform;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/170/4/042072/pdf
DOI  :  10.1088/1755-1315/170/4/042072

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

In this study, a new configuration for all electric independent driving and braking electric vehicle of dual axles is proposed based on the driving ability requirement of dual axle independent driving electric vehicle on the weak adhesion pavement and the advantage of electromechanical brake system (EMB). The working principle and scheme of traction control system (TCS) for this configuration is given. The TCS control scheme is proposed based on BP neural network PID algorithm. The simulation platform is developed and it includes vehicle model, motor model, driveline model, EMB model, tire model and so on. The acceleration performance is verified by simulation on the separated pavements. The results show that the speed of wheels which are on the low adhesion pavement can be controlled near the target value. The vehicle driving ability is improved effectively. For example, the acceleration time with TCS control can be reduced by 64.04% compared with no TCS situation, when the adhesion coefficient of separated pavement is 0.7/0.1.