A new slip ratio observer and its application in electric vehicle wheel slip control

2012 ◽  
Author(s):  
Bo-Rong Liang ◽  
Wei-Song Lin
Keyword(s):  
Electric Vehicle ◽  
Wheel Slip ◽  
Slip Ratio ◽  
Slip Control

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
Keyword(s):  
Electric Vehicle ◽  
Energy Management ◽  
Test Bench ◽  
Slip Rate ◽  
Emergency Situation ◽  
Wheel Slip ◽  
Slip Ratio ◽  
Braking Performance ◽  
Dynamic Variation ◽  
Slip Control

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.

scholarly journals Optimal Slip Ratio Based Fuzzy Control of Acceleration Slip Regulation for Four-Wheel Independent Driving Electric Vehicles

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Guodong Yin ◽  
Shanbao Wang ◽  
Xianjian Jin
Keyword(s):  
Fuzzy Logic ◽  
Electric Vehicle ◽  
Electric Vehicles ◽  
Fuzzy Logic Control ◽  
Fuzzy Controller ◽  
Angular Acceleration ◽  
Slip Rate ◽  
Wheel Slip ◽  
Slip Ratio ◽  
Logic Control

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.

Wheel Slip Control for the Electric Vehicle With In-Wheel Motors: Variable Structure and Sliding Mode Methods

2020 ◽  
Vol 67 (10) ◽  
pp. 8535-8544 ◽  
Author(s):  
Dzmitry Savitski ◽  
Valentin Ivanov ◽  
Klaus Augsburg ◽  
Tomoki Emmei ◽  
Hiroyuki Fuse ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Sliding Mode ◽  
Variable Structure ◽  
Wheel Slip ◽  
Slip Control

scholarly journals Slip Control of Electric Vehicle Based on Tire-Road Friction Coefficient Estimation

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Gaojian Cui ◽  
Jinglei Dou ◽  
Shaosong Li ◽  
Xilu Zhao ◽  
Xiaohui Lu ◽  
...  
Keyword(s):  
Friction Coefficient ◽  
Electric Vehicle ◽  
Slip Ratio ◽  
Braking Performance ◽  
Slip Control ◽  
Coefficient Estimation ◽  
Road Friction ◽  
Braking Torque ◽  
Novel Method ◽  
Road Friction Coefficient

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.

scholarly journals A Fuzzy-algorithm-based Sliding Mode Control Approach for Acceleration Slip Regulation of Battery Electric Vehicle

2020 ◽  
Author(s):  
Lin He ◽  
Cheng Yao ◽  
Zejia He ◽  
Bingzhao Gao ◽  
Qin Shi
Keyword(s):  
Sliding Mode Control ◽  
Electric Vehicle ◽  
Sliding Mode ◽  
Robustness Analysis ◽  
Sliding Mode Controller ◽  
Battery Electric Vehicle ◽  
Wheel Slip ◽  
Slip Ratio ◽  
Fuzzy Algorithm ◽  
Mode Control

Abstract Due to large torque and quick response of electric motor, the traction wheels of battery electric vehicle (BEV) are easy to slip during the initial phase of starting. In this paper, an acceleration slip regulation approach based on sliding mode control algorithm is proposed to prevent the wheel slip of BEV. The traction wheel slip ratio is used as the control parameter, and a sliding mode controller is deduced from it. A fuzzy algorithm is employed to revise the switch function of sliding mode controller. After stability and robustness analysis, the sliding mode controller is validated by dynamic simulation of BEV. The sliding mode control law is transferred into vehicle control unit and is veried by road tests, the results of which show that the sliding mode controller is a good candidate to prevent the wheel slip.

scholarly journals Wheel Slip Control for Improving Traction-Ability and Energy Efficiency of a Personal Electric Vehicle

Energies ◽  
2015 ◽  
Vol 8 (7) ◽  
pp. 6820-6840 ◽  
Author(s):  
Kanghyun Nam ◽  
Yoichi Hori ◽  
Choonyoung Lee
Keyword(s):  
Energy Efficiency ◽  
Electric Vehicle ◽  
Wheel Slip ◽  
Slip Control

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.

Wheel slip control for all-wheel drive electric vehicle with compensation of road disturbances

2015 ◽  
Vol 61 ◽  
pp. 1-10 ◽  
Author(s):  
Valentin Ivanov ◽  
Dzmitry Savitski ◽  
Klaus Augsburg ◽  
Phil Barber ◽  
Bernhard Knauder ◽  
...  
Keyword(s):  
Electric Vehicle ◽  
Wheel Slip ◽  
Slip Control ◽  
Wheel Drive
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