A Study on the Fail-Safe of the Intelligent Tire Sensor using the Tire Strain Model

Heeyoung Jo (Illinois Institute of Technology)･Sun Je Kim (Chungnam National University)･Kyuwon Ken Choi (Illinois Institute of Technology)･Kihan Noh (Korea Automotive Technology Institute)･Dhrumitkumar Rami (Illinois Institute of Technology)

Recently, tire built-in sensors (i-Tire sensors) have been commercialized and used as tire management systems for logistics trucks.
It is a project to reduce costs by managing tire life using an i-Tire sensor that can detect tire conditions such as pressure, temperature, and deformation.
However, since the i-Tire sensor is mounted inside the tire, it is not easy to directly check the condition of the sensor.
Therefore, in this paper, we studied the technology to detect the failure of the i-Tire sensor using a tire deformation model.

Development of Tire and Vehicle Performance Prediction Model using Machine Learning

Yeonsang Yoo (Hyundai Motor)･Benjamin Schaefer (RWTH Aachen University)･Yongdae Kim･JinSil Kyeong (Hyundai Motor)

As tires are the only parts that contact with road surface, they deliver all the forces from the road and have enoumous effect on most of the vehicle performance. Therefore, it is essential to set and secure tire performance targets in the early stage of vehicle development. The purpose of this study is to develop a method for setting tire performance targets to meet the vehicle performance target in the early development stage. Huge amount of tire test data and vehicle simulation data were analyzed and machine learning technology was used to develop this method.

New Efforts to Construct Road Friction Measurement System

Ichiro Kageyama (Consortium on Advanced Road-Friction Database/Nihon University)･Atsushi Watanabe･Yukiyo Kuriyagawa (Nihon University)･Tetsunori Haraguchi (Consortium on Advanced Road-Friction Database/Nihon University)･Tetsuya Kaneko (Osaka Sangyo University)･Minoru Nishio (Absolute)

We verified the results of the continuous friction characteristic measurement system shown so far, extracted the problems, and identified the points to be corrected for the continuous friction characteristic measurement. Next, we will show the construction of a new measurement system aimed at improving accuracy and its measurement results.

Measurement of Road Contact Load during Straight Driving of a Car using Tire Wheel Deformation

Hiroshi Tachiya･Akira Shibuya･Masahiro Higuchi (Kanazawa University)･Daisuke Yokoi･Naoki Sekino･Kenta Konishi･Daiki Morimoto (Suzuki Motor)

A method for measuring the triaxial load acting on the tire contact surface during straight-line driving is studied using strains at several locations on the wheel. The appropriate strain measurement locations, measurement their directions, and rotation angles for measurement were determined. Furthermore, actual measurement experiments were conducted on a test bus to confirm the validity of the method by comparing it with a commercial force sensor at some conditions.