A new anti-skid control method for electric vehicles using the motor torque and the wheel acceleration with experimental verification

Author(s):  
Xiang Liu ◽  
Mian Li ◽  
Min Xu

Driving electric vehicles by electric motors can result in many unique advantages for dynamic control of electric vehicles. With the superior fast and accurate torque control performance of electric motors, electric vehicles, in particular, can achieve higher levels of safety and handling performance. A simple, effective and efficient anti-skid control method specified for electric vehicles is proposed in this paper by considering the real-world resistance factors. This method is developed on the basis of sensing and regulating a newly defined parameter, namely the ratio of the drive motor torque to the angular acceleration of the wheels, both of which can be easily obtained for electric motors. The monotonic relationship between the slip ratio and the ratio of the drive motor torque to the angular acceleration of the wheels is proved under both acceleration conditions and deceleration conditions, by considering the real-world resistance factors. The simulations and the experimental results show that the ratio of the drive motor torque to the angular acceleration of the wheels can be efficiently used, instead of the slip ratio, in anti-skid control. The results indicate that electric vehicles can achieve high-performance vehicle motion control with more flexible and simplified configurations by using in-wheel electric motors.

2015 ◽  
Vol 18 (3) ◽  
pp. 174-182 ◽  
Author(s):  
Minh Ngoc Vu ◽  
Minh Cao Ta

This paper presents a slip suppression controller using sliding mode control method for electric vehicles which aims to improve the control performance of Evs in both driving and braking mode. In this method, a sliding mode controller is designed to obtain the maximum driving force by suppressing the slip ratio. The numerical simulations for one wheel model under variations in mass of vehicle and road condition are performed and demonstrated to show the effectiveness of the proposed method.


2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Guodong Yin ◽  
Shanbao Wang ◽  
Xianjian Jin

To improve the driving performance and the stability of the electric vehicle, a novel acceleration slip regulation (ASR) algorithm based on fuzzy logic control strategy is proposed for four-wheel independent driving (4WID) electric vehicles. In the algorithm, angular acceleration and slip rate based fuzzy controller of acceleration slip regulation are designed to maintain the wheel slip within the optimal range by adjusting the motor torque dynamically. In order to evaluate the performance of the algorithm, the models of the main components related to the ASR of the four-wheel independent driving electric vehicle are built in MATLAB/SIMULINK. The simulations show that the driving stability and the safety of the electric vehicle are improved for fuzzy logic control compared with the conventional PID control.


2011 ◽  
Vol 196 (23) ◽  
pp. 10094-10104 ◽  
Author(s):  
Justin D.K. Bishop ◽  
Reed T. Doucette ◽  
Daniel Robinson ◽  
Barnaby Mills ◽  
Malcolm D. McCulloch

2011 ◽  
Vol 80-81 ◽  
pp. 1180-1184
Author(s):  
Li Qiang Jin ◽  
Chuan Xue Song ◽  
Jian Hua Li

In conventional vehicles, the control of vehicle speed is achieved by changing the engine load through adjusting the acceleration pedal. However, in electric vehicles, this is achieved by controlling the target motor torque obtained from the look-up table in accordance with the position of acceleration pedal. This method is an open-loop control, with which the engine brake cannot be implemented during downhill trips. In this paper, a closed-loop control of vehicle speed for electric vehicles is proposed. The target vehicle speed is set by the acceleration pedal. The controller collects the real vehicle speed, whereas the PID controller, according to the error of the real and target vehicle speed, adjusts the motor torque in real time to realize the closed-loop speed control. Under such controlling, the motor torque can be changed correspondingly with the resistance, thus makes the driving performance of electric vehicles more identical to that of conventional vehicles.


Energy ◽  
2017 ◽  
Vol 141 ◽  
pp. 1955-1968 ◽  
Author(s):  
Xinmei Yuan ◽  
Chuanpu Zhang ◽  
Guokai Hong ◽  
Xueqi Huang ◽  
Lili Li

2020 ◽  
Vol 14 (4) ◽  
pp. 6-19
Author(s):  
Xinmei Yuan ◽  
Jiangbiao He ◽  
Shuai Li ◽  
Lili Li ◽  
Shuanglong Shi ◽  
...  

2020 ◽  
Vol 11 (1) ◽  
pp. 19 ◽  
Author(s):  
Zhicheng Sun ◽  
Zui Wen ◽  
Xin Zhao ◽  
Yunpeng Yang ◽  
Su Li

Electric vehicles (EVs) include battery electric vehicles (BEVs), fuel-cell vehicles (FCVs) and fuel-cell hybrid electric vehicles (FCHEVs). The performance of vehicles is usually evaluated using standardized driving cycle tests; however, the results from standardized driving cycle tests deviate from the real-world driving cycle. In order to test the adaptability of EVs to real-world driving cycles, conditions of three typical routes in Tianjin are collected and their characteristics analyzed; then BEV and FCV models are created based on a type of FCHEV to simulate 0–100 km/h acceleration and cruising performance under a real-world driving cycle; finally, a motor bench is used to test the performance of FCHEV under the NEDC (New European Driving Cycle). After the adaptability of the three models to real-world driving cycle is compared based on the simulation and test results, it is found that FCHEV can recycle braking energy and has quick dynamic response, which can be well adapted to the real-world driving cycle.


Fuel ◽  
2021 ◽  
Vol 286 ◽  
pp. 119466
Author(s):  
Yachao Wang ◽  
Junfang Wang ◽  
Chunxiao Hao ◽  
Xin Wang ◽  
Qing Li ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document