Coordinated vehicle traction control based on engine torque and brake pressure under complicated road conditions

Kang, Mingxin; Li, Liang; Li, Hongzhi; Song, Jian; Han, Z.-Q.

doi:10.1080/00423114.2012.672747

Cited by 52 publications

(32 citation statements)

References 18 publications

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“…It is a powerful means to improve vehicle driving safety and stability performances via active safety system such as emergency collision avoidance (ECA), active front steering (AFS), anti-lock braking system (ABS), direct yaw moment control (DYC) and traction control system (TCS) [1][2][3][4][5][6]. They work well only with the tire forces within the friction limit, which means knowledge of the road friction coefficient may improve the performance of the systems.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Road Friction Coefficient in Different Road Conditions Based on Vehicle Braking Dynamics

Zhao

Lin

et al. 2017

Chin. J. Mech. Eng.

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The accurate estimation of road friction coefficient in the active safety control system has become increasingly prominent. Most previous studies on road friction estimation have only used vehicle longitudinal or lateral dynamics and often ignored the load transfer, which tends to cause inaccurate of the actual road friction coefficient. A novel method considering load transfer of front and rear axles is proposed to estimate road friction coefficient based on braking dynamic model of two-wheeled vehicle. Sliding mode control technique is used to build the ideal braking torque controller, which control target is to control the actual wheel slip ratio of front and rear wheels tracking the ideal wheel slip ratio. In order to eliminate the chattering problem of the sliding mode controller, integral switching surface is used to design the sliding mode surface. A second order linear extended state observer is designed to observe road friction coefficient based on wheel speed and braking torque of front and rear wheels. The proposed road friction coefficient estimation schemes are evaluated by simulation in ADAMS/Car. The results show that the estimated values can well agree with the actual values in different road conditions. The observer can estimate road friction coefficient exactly in real-time and resist external disturbance. The proposed research provides a novel method to estimate road friction coefficient with strong robustness and more accurate.

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Section: Introductionmentioning

confidence: 99%

Estimation of Road Friction Coefficient in Different Road Conditions Based on Vehicle Braking Dynamics

Zhao

Lin

et al. 2017

Chin. J. Mech. Eng.

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show abstract

“…A sliding-mode strategy and a proportional-integral-derivative (PID) plus fuzzy logic method were adopted to compensate the friction coefficient variation. [9,10] A new hybrid model and a model predictive control strategy were utilised by Borrelli et al to decrease the control error. [11] A fuzzy logic controller was presented in [12,13] to deal with the system nonlinearity.…”

Section: Introductionmentioning

confidence: 99%

A novel fuzzy logic correctional algorithm for traction control systems on uneven low-friction road conditions

Zhang

et al. 2015

Vehicle System Dynamics

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The traction control system (TCS) might prevent excessive skid of the driving wheels so as to enhance the driving performance and direction stability of the vehicle. But if driven on an uneven low-friction road, the vehicle body often vibrates severely due to the drastic fluctuations of driving wheels, and then the vehicle comfort might be reduced greatly. The vibrations could be hardly removed with traditional drive-slip control logic of the TCS. In this paper, a novel fuzzy logic controller has been brought forward, in which the vibration signals of the driving wheels are adopted as new controlled variables, and then the engine torque and the active brake pressure might be coordinately re-adjusted besides the basic logic of a traditional TCS. In the proposed controller, an adjustable engine torque and pressure compensation loop are adopted to constrain the drastic vehicle vibration. Thus, the wheel driving slips and the vibration degrees might be adjusted synchronously and effectively. The simulation results and the real vehicle tests validated that the proposed algorithm is effective and adaptable for a complicated uneven low-friction road.

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“…However, it is difficult to determine the best condition to perform a gear shift due to the variety of factors that influence the vehicle dynamics. The implementation of gear shifting strategies in automotive manual transmission must be assisted by intelligent systems as proposed by Kang et al (2012), to overcome the poor knowledge that a driver has about the engine and powertrain behavior. However, to develop this kind of gear shifting, a control system is necessary to understand the vehicle behavior according to each situation.…”

Section: Introductionmentioning

confidence: 99%

Vehicle gear shifting strategy optimization with respect to performance and fuel consumption

Eckert

Corrêa

Santiciolli

et al. 2015

Mechanics Based Design of Structures and Machines

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Based on the movement resistance forces, the vehicle longitudinal dynamics is related to power demand for a specific route. The vehicle gear shifting influences significantly the acceleration performance and fuel consumption because it changes the engine operation point and the powertrain inertia. This paper presents a study based on the US06 velocity profile which involves high speed and high acceleration phases, where the vehicle performance is limited by both the engine power and the tire traction limit. For improving A c c e p t e d M a n u s c r i p t the vehicle performance without increasing fuel consumption, a genetic algorithm (GA) technique is used.

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Coordinated vehicle traction control based on engine torque and brake pressure under complicated road conditions

Cited by 52 publications

References 18 publications

Estimation of Road Friction Coefficient in Different Road Conditions Based on Vehicle Braking Dynamics

Estimation of Road Friction Coefficient in Different Road Conditions Based on Vehicle Braking Dynamics

A novel fuzzy logic correctional algorithm for traction control systems on uneven low-friction road conditions

Vehicle gear shifting strategy optimization with respect to performance and fuel consumption

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