Study on optimal slip ratio identification and traction control for electric vehicle

2011 ◽  
Author(s):  
Qiang Gu ◽  
Xiusheng Cheng
Keyword(s):  
Electric Vehicle ◽  
Slip Ratio ◽  
Traction Control ◽  
Optimal Slip Ratio

A Novel Traction Control Strategy Based on Optimal Slip Ratio Control for Electric Vehicle

2014 ◽  
Vol 705 ◽  
pp. 355-359
Author(s):  
Ling Fei Wu ◽  
Li Fang Wang ◽  
Jun Zhi Zhang
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Pid Control ◽  
Optimal Point ◽  
Slip Ratio ◽  
Traction Control ◽  
Optimal Slip Ratio ◽  
Simulation Based ◽  
Hardware In Loop ◽  
Driving Torque

A novel traction control strategy based on slip ratio gradient PID control is proposed. The gradient of slip ratio can be controlled accurately through adapting the driving torque by analyzing the dynamic process of the wheel. The optimal slip ratio for traction control is found through the analysis of the characteristic of the tire. The slip ratio of the driving wheels can be control at the optimal point through slip ratio gradient PID control. An electric vehicle model for simulation based on MATLAB/SIMULINK has been built and simulations have been carried out. A hardware-in-loop test bench has been built and experiment has been carried out. Results show that the strategy can achieve better driving performance than motor torque PID control strategy.

A Research on Anti-Slip Regulation of In-Wheel Motor Driven Electric Vehicle

2014 ◽  
Vol 536-537 ◽  
pp. 1059-1064 ◽  
Author(s):  
Miao Hua Huang ◽  
Ya Chao Zhao
Keyword(s):  
Electric Vehicle ◽  
Vehicle Dynamics ◽  
Control Algorithms ◽  
Ratio Estimator ◽  
Slip Ratio ◽  
The Road ◽  
Model Following Control ◽  
Model Following ◽  
Optimal Slip Ratio ◽  
The One

In order to develop the four in-wheel motors driven Electric Vehicle (EV), this paper designed a skidding detector depending on the motor torque, established a slip-ratio estimator. Then, the Model Following Control (MFC) and Optimal Slip-ratio Control algorithms were analysed, compared and optimized. All of the algorithms were simulated using the one-wheel vehicle model. The simultion results show that the algorithms can make full use of the road adhesion characteristics and do good work on the ASR and the vehicle dynamics.

Variable gain control-based acceleration slip regulation control algorithm for four-wheel independent drive electric vehicle

2020 ◽  
pp. 014233122093342
Author(s):  
Luole Guo ◽  
Hongbing Xu ◽  
Jianxiao Zou ◽  
Hongyu Jie ◽  
Gang Zheng
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Large Scale ◽  
Dynamic Performance ◽  
Gain Control ◽  
Scalar Function ◽  
System Stability ◽  
Slip Ratio ◽  
Variable Gain ◽  
Optimal Slip Ratio

In order to improve the dynamic performance and stability of general acceleration slip regulation (ASR) control technology for four-wheel independent drive electric vehicle (4WID EV), an ASR control strategy based on variable gain controller (VGC) is proposed in this paper. First of all, a road identification strategy is designed to identify the current road surface and calculate the optimal slip ratio of the road. Then, the optimal slip ratio is taken as the control target, and the ASR control strategy based on VGC is designed to keeps slip ratio around the optimum slip ratio through controlling the driving torque output, so wheels can make the best of road adhesion to prevent vehicle from slipping. Meanwhile, we analyze the control system state space, and build a scalar function of the system, and prove that the system satisfies Lyapunov large scale asymptotic stability theorem, so the parameters of the VGC does not affect the system stability. Then, in order to meet the requirement of quick dynamic response and no overshoot, parameters selection of VGC is deduced by mathematics. Finally, the co-simulation of Matlab/Simulink and Carsim results show that the proposed control strategy is with the better dynamics and stability, and can better prevent wheel slipping on various roads.

scholarly journals A Study of Coordinated Vehicle Traction Control System Based on Optimal Slip Ratio Algorithm

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Gang Liu ◽  
LiQiang Jin
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Control Method ◽  
Road Surface ◽  
Vehicle Model ◽  
Slip Ratio ◽  
Traction Control ◽  
Traction Control System ◽  
Optimal Slip Ratio ◽  
Vehicle Acceleration

Under complicated situations, such as the low slippery road surface and split-μroad surface, traction control system is the key issue to improve the performance of vehicle acceleration and stability. In this paper, a novel control strategy with engine controller and active pressure controller is presented. First and foremost, an ideal vehicle model is proposed for simulation; then a method for the calculation of optimal slip ratio is also brought. Finally, the scheme of control method with engine controller and active brake controller is presented. From the results of simulation and road tests, it can be concluded that the acceleration performance and stability of a vehicle equipped with traction control system (TCS) can be improved.

A state observation and torque compensation–based acceleration slip regulation control approach for a four-wheel independent drive electric vehicle under slope driving

2020 ◽  
Vol 234 (12) ◽  
pp. 2728-2743
Author(s):  
Luole Guo ◽  
Hongbing Xu ◽  
Jianxiao Zou ◽  
Hongyu Jie ◽  
Gang Zheng
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Longitudinal Component ◽  
Identification Algorithm ◽  
Wheel Slip ◽  
Slip Ratio ◽  
Control Approach ◽  
State Observation ◽  
Optimal Slip Ratio ◽  
Control Objective

Wheel slipping of four-wheel independent drive electric vehicle on slope will reduce vehicle controllability and driving stability, thereby reducing vehicle safety. In order to solve the problem of wheel slipping and optimize the speed control performance of four-wheel independent drive electric vehicle on slope, an acceleration slip regulation control strategy of slope drive is proposed in this paper. First, we design a road identification algorithm to identify the current road conditions of the four-wheel independent drive electric vehicle, and calculate the optimal slip ratio of the current road surface by curve fitting method. Then, with the optimal slip ratio as the control objective, the acceleration slip regulation control strategy is designed to maximize the utilization of wheel adhesion coefficient to prevent wheel slip. Third, a slope identification algorithm based on Luenberger state observer is designed to identify the various slopes of the uphill and downhill road, after which a torque compensation algorithm is designed according to the identification slope, to compensate for the longitudinal component of vehicle gravity at different slopes. Fourth, a slope torque distribution algorithm is proposed based on acceleration slip regulation and slope identification. Finally, through the joint simulation platform of MATLAB/Simulink and CarSim, it is shown that the proposed control strategy can better restrain wheel slipping on the uphill and downhill road, and has better dynamic characteristics and stability.

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