Effect of Measurement Method Differences on the Evaluation of Tire Lateral Relaxation Length

Taichi Murakami･Akio Uesaka･Naohiro Ishigami･Hiroshi Nashio (TOYO TIRE Corporation)

In the development of vehicle dynamic performance, tire relaxation length is considered an important characteristic. Conventionally, several methods for measuring relaxation length have been proposed. This study describes a comparison of four methods—sinusoidal input, step input, ramp-step input, and predicted method based on the ratio of the cornering stiffness and the lateral structural stiffness, and examines the differences and underlying factors.

Development of in-tire inflation system for controlling tire dynamic characteristics

Masami Matsubara (Waseda University)･Naoki Sekino･Takuya Nakagawa･Junya Tanehashi･Daisuke Yokoi (Suzuki Motor)

This study developed a system that enables controlling of tire inflation pressure during vehicle driving. This system consists of the high-inflated tube embedded in tire and controlling device of inflation pressure. In this presentation, we will present the development process of this system and the effect on tire dynamic characteristics.

Improvement of Output from Triboelectric Nanogenerator in Intelligent Tire

Hiroshi Tani･Renguo Lu･shinji Koganezawa (Kansai University)･Jun Matsuda･Tadashi Higuchi･Shigeki Hayashi (Yokohama Rubber Co.)

We improved the output of the triboelectric nanogenerator mounted into the intelligent tire. By optimizing the triboelectrification film and the generator's dimensions, we achieved an output level of approximately 8 mW at 80 km/h.

Accuracy Evaluation of Road Surface Condition Identification and Friction Coefficient Estimation Using 3DLiDAR Reflectance Characteristics

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

This study aims to improve the accuracy of estimating road surface friction at distant locations, which was a challenge in previous work, by utilizing the reflectance intensity from 3DLiDAR. It also seeks to reevaluate sensor placement and the structure of the friction coefficient estimation model based on the sensor's observation characteristics. Furthermore, newly acquired cold-region experimental data is used as out-of-training data, and the reduction in estimation error is quantitatively evaluated by comparing it with the conventional system.