TRACTION CONTROL OF VEHICLES USING SUPER TWISTING SLIDING MODE CONTROLLER AND A NOVEL TIRE FORCE ESTIMATION STRATEGY

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.

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Tire Characteristics Estimation Method Independent of Road Surface Conditions

Journal of Robotics and Mechatronics ◽

10.20965/jrm.2018.p0138 ◽

2018 ◽

Vol 30 (1) ◽

pp. 138-144 ◽

Cited By ~ 1

Author(s):

Yuuki Shiozawa ◽

◽

Hiroshi Mouri

Keyword(s):

Estimation Method ◽

Surface Friction ◽

Road Surface ◽

Force Estimation ◽

Tire Force ◽

Significant Difference ◽

Vehicle Motion ◽

Tire Force Estimation ◽

Tire Forces ◽

Force Characteristics

To control vehicle behavior, it is essential to estimate tire force accurately at all times. However, it is currently difficult to detect tire performance degradation before the deterioration of vehicle dynamics in real time because tire force estimation is usually conducted by comparing the observed vehicle motion with the onboard vehicle-model motion baseline reference. Such conventional estimators do not perform well if there is a significant difference between the vehicle and the model behavior. The lack of technology to easily predict tire forces and road surface friction is concerning. In this paper, a new tire state estimation method based on tire force characteristics is proposed.

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Estimate Lateral Tire Force Based on Yaw Moment without Using Tire Model

ISRN Mechanical Engineering ◽

10.1155/2014/934181 ◽

2014 ◽

Vol 2014 ◽

pp. 1-8 ◽

Cited By ~ 3

Author(s):

Jun Yang ◽

Wuwei Chen ◽

Yan Wang

Keyword(s):

Heuristic Method ◽

Least Square Method ◽

Least Square ◽

Force Estimation ◽

Tire Force ◽

Highly Nonlinear ◽

Road Friction ◽

Estimation Scheme ◽

Tire Force Estimation ◽

Yaw Moment

This paper demonstrates the implementation of a model-based vehicle estimator, which can be used for lateral tire force estimation without using any highly nonlinear tire-road friction models. The lateral tire force estimation scheme has been designed, and it consists of the following three steps: the yaw moment estimation based on a disturbance observer, the sum of the lateral tire force of two front tires and two rear tires estimation based on a least-square method, and individual lateral tire force estimation based on a heuristic method. The proposed estimator is evaluated under two typical driving conditions and the estimation values are compared with simulator data from CarSim and experimental data provided by GM. Results to date indicate that this is an effective approach, which is considered to be of potential benefit to the automotive industry.

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