scholarly journals Traction Control of Electric Vehicles Using Sliding-Mode Controller with Tractive Force Observer

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Suwat Kuntanapreeda
Keyword(s):  
Sliding Mode ◽  
Nonlinear Function ◽  
Control Law ◽  
Tractive Force ◽  
Wheel Slip ◽  
Slip Ratio ◽  
Traction Control ◽  
Control Approach ◽  
Control Objective ◽  
Safety And Stability

Traction control is an important element in modern vehicles to enhance drive efficiency, safety, and stability. Traction is produced by friction between tire and road, which is a nonlinear function of wheel slip. In this paper, a sliding-mode control approach is used to design a robust traction controller. The control objective is to operate vehicles such that a desired wheel slip ratio is achieved. A nonlinearity observer is employed to estimate tire tractive forces, which are used in the control law. Simulation and experimental results have illustrated the success of the proposed observer-based controller.

scholarly journals Effects of sliding surface on the performances of adaptive sliding mode slip ratio controller for a HEV

2013 ◽  
Vol 23 (2) ◽  
pp. 187-203 ◽  
Author(s):  
Basanta Kumar Dash ◽  
Bidyadhar Subudhi
Keyword(s):  
Hybrid Electric Vehicle ◽  
Sliding Mode ◽  
Nonlinear Function ◽  
Control Force ◽  
Sliding Surface ◽  
Wheel Slip ◽  
Slip Ratio ◽  
Important Concern ◽  
Control Paradigm ◽  
Antilock Braking System

Slip ratio control of a ground vehicle is an important concern for the development of antilock braking system (ABS) to avoid skidding when there is a transition of road surfaces. In the past, the slip ratio models of such vehicles were derived to implement ABS. It is found that the dynamics of the hybrid electric vehicle (HEV) is nonlinear, time varying and uncertain as the tire-road dynamics is a nonlinear function of road adhesion coefficient and wheel slip. Sliding mode control (SMC) is a robust control paradigm which has been extensively used successfully in the development of ABS of a HEV. But the SMC performance is influenced by the choice of sliding surface. This is due to the discontinuous switching of control force arising in the vicinity of the sliding surface that produces chattering. This paper presents a detailed study on the effects of different sliding surfaces on the performances of sliding mode based adaptive slip ratio control applied to a HEV.

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.

scholarly journals A sliding mode algorithm for antilock braking/traction control of EVs

2015 ◽  
Vol 18 (3) ◽  
pp. 174-182 ◽  
Author(s):  
Minh Ngoc Vu ◽  
Minh Cao Ta
Keyword(s):  
Electric Vehicles ◽  
Driving Force ◽  
Control Method ◽  
Sliding Mode ◽  
Sliding Mode Controller ◽  
Control Performance ◽  
Slip Ratio ◽  
Traction Control ◽  
Road Condition ◽  
Wheel Model

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.

scholarly journals Fuzzy Sliding Mode Wheel Slip Ratio Control for Smart Vehicle Anti-Lock Braking System

Energies ◽  
2019 ◽  
Vol 12 (13) ◽  
pp. 2501 ◽  
Author(s):  
Jinhong Sun ◽  
Xiangdang Xue ◽  
Ka Wai Eric Cheng
Keyword(s):  
Controller Design ◽  
Adhesion Force ◽  
Sliding Mode ◽  
Rolling Friction ◽  
Resistance Force ◽  
Wheel Slip ◽  
Slip Ratio ◽  
Braking System ◽  
Wheel Rolling ◽  
Braking Torque

With the development of in-wheel technology (IWT), the design of the electric vehicles (EV) is getting much improved. The anti-lock braking system (ABS), which is a safety benchmark for automotive braking, is particularly important. Installing the braking motor at each fixed position of the wheel improves the intelligent control of each wheel. The nonlinear ABS with robustness performance is highly needed during the vehicle’s braking. The anti-lock braking controller (CAB) designed in this paper considered the well-known adhesion force, the resistance force from air and the wheel rolling friction force, which bring the vehicle model closer to the real situation. A sliding mode wheel slip ratio controller (SMWSC) is proposed to yield anti-lock control of wheels with an adaptive sliding surface. The vehicle dynamics model is established and simulated with consideration of different initial braking velocities, different vehicle masses and different road conditions. By comparing the braking effects with various CAB parameters, including stop distance, braking torque and wheel slip ratio, the SMWSC proposed in this paper has superior fast convergence and stability characteristics. Moreover, this SMWSC also has an added road-detection module, which makes the proposed braking controller more intelligent. In addition, the important brain of this proposed ABS controller is the control algorithm, which can be used in all vehicles’ ABS controller design.

A Research on Anti-Slip Regulation for 4WD Electric Vehicle with In-Wheel Motors

2013 ◽  
Vol 347-350 ◽  
pp. 753-757
Author(s):  
Li Zhou ◽  
Lu Xiong ◽  
Zhuo Ping Yu
Keyword(s):  
Control Strategy ◽  
Sliding Mode ◽  
Traction Force ◽  
Slip Rate ◽  
Control Effect ◽  
Wheel Slip ◽  
Slip Ratio ◽  
Tire Force ◽  
Optimal Slip Ratio ◽  
Electrical Vehicle

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.

Vehicle Traction Control: Variable-Structure Control Approach

1991 ◽  
Vol 113 (2) ◽  
pp. 223-230 ◽  
Author(s):  
Han-Shue Tan ◽  
Yuen-Kwok Chin
Keyword(s):  
Sliding Mode ◽  
Control Variable ◽  
Sufficient Conditions ◽  
Variable Structure ◽  
Lyapunov Stability Theory ◽  
Vehicle Model ◽  
Control Laws ◽  
Traction Control ◽  
Control Approach ◽  
Structure Control

A longitudinal one-wheel vehicle model is described for both anti-lock braking and anti-span acceleration. Based on this vehicle model, sufficient conditions for applying sliding-mode control to vehicle traction are derived via Lyapunov Stability Theory. With the understanding of these sufficient conditions, control laws are designed to control vehicle traction. Both the sufficient conditions and the control laws are verified using computer simulations.

A Sliding Mode Controller for Wheel Slip Ratio Control System

1997 ◽  
Vol 27 (5-6) ◽  
pp. 393-408 ◽  
Author(s):  
TAKETOSHI KAWABE ◽  
MASAO NAKAZAWA ◽  
IKURO NOTSU ◽  
YOSHITO WATANABE
Keyword(s):  
Control System ◽  
Sliding Mode ◽  
Sliding Mode Controller ◽  
Wheel Slip ◽  
Slip Ratio

The Sliding Mode Control for Traction Control System Based on Variable Optimal Slip Ratio

2013 ◽  
Vol 380-384 ◽  
pp. 485-490
Author(s):  
Jian Zhao ◽  
Jin Zhang ◽  
Bing Zhu
Keyword(s):  
Control System ◽  
Sliding Mode Control ◽  
Control Method ◽  
Sliding Mode ◽  
Road Surface ◽  
Information Measurement ◽  
Slip Ratio ◽  
Traction Control ◽  
Traction Control System ◽  
Mode Control

In this paper, the concept of intelligent tire and road surface information measurement methods are introduced, and the sliding mode algorithm for traction control system based on intelligent tire is proposed. By applying braking torque onto the driving wheels, the slip rates are adjusted to maintain within the optimal region on different road surface, and the optimal longitudinal traction is achieved. According to the simulation results on the CARSIM and MATLAB co-simulation platform of several working conditions, the TCS based on sliding mode control method improves the traction performance on different road surface effectively.

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