Test Bench Emulation of Slip Ratio during Anti-Lock Braking of Electric Vehicle

2014 ◽  
Vol 709 ◽  
pp. 285-289
Author(s):  
Cheng Kun He ◽  
Jun Zhi Zhang ◽  
Li Fang Wang

Regenerative brakes offer the opportunity to improve a vehicle’s braking performance in emergency situation. This study investigates slip ratio emulation on a test bench to enable these issues to be studied in a lab. Compared with vehicle drive cycle emulation on a test bench, the slip ratio emulation on a test bench requires higher bandwidth because of the higher dynamic requirement of slip control than that of vehicle energy management. Toward this end, a feedforward compensation method that could also prevent the amplification of the noise from the sensor is designed for this based on a linearized wheel slip equation. The results of simulations and tests indicate that the proposed slip-ratio emulation method can emulate the dynamic variation of the slip rate effectively.

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.


2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Gaojian Cui ◽  
Jinglei Dou ◽  
Shaosong Li ◽  
Xilu Zhao ◽  
Xiaohui Lu ◽  
...  

The real-time change of tire-road friction coefficient is one of the important factors that influence vehicle safety performance. Besides, the vehicle wheels’ locking up has become an important issue. In order to solve these problems, this paper comes up with a novel slip control of electric vehicle (EV) based on tire-road friction coefficient estimation. First and foremost, a novel method is proposed to estimate the tire-road friction coefficient, and then the reference slip ratio is determined based on the estimation results. Finally, with the reference slip ratio, a slip control based on model predictive control (MPC) is designed to prevent the vehicle wheels from locking up. In this regard, the proposed controller guarantees the optimal braking torque on each wheel by individually controlling the slip ratio of each tire within the stable zone. Theoretical analyses and simulation show that the proposed controller is effective for better braking performance.


2015 ◽  
Vol 9 (1) ◽  
pp. 351-360 ◽  
Author(s):  
Xiaoxiang Gong ◽  
Siqing Chang ◽  
Lichen Jiang ◽  
Xiaopan Li

For the characteristics of full electric propulsion, a novel kind of brake-by-wire unit is designed for electric vehicle to improve braking performance. A comprehensive brake-by-wire system including this unit is set up after its structure and principle are introduced. Then, a multi-layer fuzzy controller is proposed to regulate decelerate and wheel slip rate, and an optimal regenerative strategy is proposed to recover braking energy. At last, the experiment of brake unit is completed to verify that this novel unit is technologically feasible, and an electric vehicle co-simulation model based on MATLAB/Simulink and AMESim is established to prove that this novel unit is able to significantly improve braking performance of electric vehicle. The simulation result shows braking distance and time are shorten by 12.19% and 15.54% respectively compared with conventional ABS system in the same braking condition, and the recovery efficiencies in light and heavy braking are 53% and 28% respectively.


2013 ◽  
Vol 347-350 ◽  
pp. 753-757
Author(s):  
Li Zhou ◽  
Lu Xiong ◽  
Zhuo Ping Yu

This paper proposes a wheel slip control strategy for 4WD Electrical Vehicle with In-wheel Motors. In the first part of this paper, a brief introduction of sliding mode control for acceleration slip regulation is given. Consider that its control effect varies with road conditions, another algorithm which can automatically adapt to different roads is designed. This method takes advantage of the peculiarity of the longitudinal static tire force curve and regulates wheel slip ratio to the detected optimal value, aiming to maximize the traction force while preserving sufficient lateral tire force. Simulation results show that the slip rate can be regulated to a value around the optimal slip ratio, and the driving torque is very close to the maximum transmissible torque. The control strategy achieves stronger stability, shorter driving distance and hence better control performance.


2020 ◽  
Vol 67 (10) ◽  
pp. 8535-8544 ◽  
Author(s):  
Dzmitry Savitski ◽  
Valentin Ivanov ◽  
Klaus Augsburg ◽  
Tomoki Emmei ◽  
Hiroyuki Fuse ◽  
...  

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