A Study on the Fail-Safe Technology of the Tire Built-in Sensor Using the Tire Deformation Model

HEEYOUNG JO (Illinois Institute of Technology)･SUNJE KIM (Chungnam National University)･KYUWON CHOI (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･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.

Vibration Analysis of Tire Using 3D Digital Image Correlation

Yuki Kato (Kochi University of Technology)･Soma Watahiki (Kozo Keikaku Engineering)･Masayoshi Otaka (Ono Sokki)･Mitsuki Togoshi (Kozo Keikaku Engineering)･Yoshiho Oda (Ono Sokki)

While driving, tires are subject to excitation forces from the road surface and engine, and exhibit complex vibration behavior. However, because they are high-speed rotating bodies, it is difficult to measure their vibration using contact sensors with cables. In this study, we evaluated the vibration characteristics of tires using digital image correlation, which enables non-contact, multi-point vibration measurement.

Study on construction of system for estimating friction characteristics between tire and road on the forward road surface
-Sensor selection and algorithm construction for forward road friction characteristics estimation system-

Atsushi Watanabe･Ichiro Kageyama･Yukiyo Kuriyagawa･Tetsunori Haraguchi (Nihon University)･Tetsuya Kaneko (Osaka Sangyo University)･Minoru Nishio (Absolute Co., Ltd.)

In the previous report, we reported on road surface categorization utilizing multiple environmental information related to road surface friction characteristics on snowy and icy roads. In this study, we investigated the selection of effective sensors and the construction of an estimation algorithm for estimating the friction characteristics of the forward road surface. As a result, the effectiveness of the proposed method is verified and the feasibility of a forward road surface friction estimation system is discussed.

New efforts to construct road friction measurement system

Ichiro Kageyama (Consortium on Advanced Road-Friction Database)･Atsushi Watanabe･Yukiyo Kuriyagawa･Tetsunori Haraguchi (Nihon University)･Tetsuya Kaneko (Oosaka 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･Masahiro Higuchi･Akira Shibuya (Kanazawa University)･Daisuke Yokoi･Naoki Sekino (Suzuki Motor)･Kenta Konishi･Daiki Morimoto (SuzSuzuki Motor Corporation)

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.