Proposal of the Tire Longitudinal Characteristics Real-Time Estimation Method

Author:

Shiozawa Yuuki, ,Tsukuda Shunsuke,Mouri Hiroshi

Abstract

For vehicle dynamics control and Autonomous Driving (AD) system, it is important to know the friction coefficient μ of the road surface accurately. It is because the lateral and the longitudinal force characteristics of the tire depend on the road surface condition largely. However, currently, it is 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 reference vehicle-model motion. Such conventional estimators do not perform well if there is a significant difference between the vehicle and the model behavior. In this paper, a new tire state estimation method based on this tire longitudinal characteristic is proposed. In addition, the estimator for tire-road surface friction coefficient μ is proposed by using this geometric relationship. Using this method, the friction coefficient value for a real road can be determined from relatively simple calculations. Also, the advantage of this method is that it can be estimated in a small slip region before the tire loses its grip. In addition, this paper explain how to apply and the effect on the actual vehicle.

Publisher

Fuji Technology Press Ltd.

Subject

Electrical and Electronic Engineering,General Computer Science

Reference24 articles.

1. T. Ito et al., “HMI Required Take-Over from Automated to Manual Driving,” Society of Automotive Engineers of Japan, Pre-Printing Presentation of the Spring Conf. in 2016, pp. 102-107, 2016.

2. T. Ito et al., “Effect of Take-Over Request Timing from Automated to Manual Driving,” Society of Automotive Engineers of Japan, Pre-Printing Presentation of the Spring Conf. in 2017, pp. 2720-2723, 2017.

3. R. Homma et al., “Basic Study on Transition to Manual from Highly Automated Driving automated driving’s authority transfer system basic examination (Second report),” Society of Automotive Engineers of Japan, Pre-Printing Presentation of the Spring Conf. in 2016, pp. 84-89, 2016.

4. R. Honma et al., “Basic Study on Transition to Manual from Highly Automated Driving Basic Study on Transition to Manual from Highly Automated Driving (Third report),” Society of Automotive Engineers of Japan, Pre-Printing Presentation of the Autumn Conf. 2016, pp. 483-488, 2016.

5. K. Toyoda et al., “Redundancy Concept for Automated Driving,” Society of Automotive Engineers of Japan, Pre-Printing Presentation of the Spring Conf. 2016, pp. 115-117, 2016.

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