Feel-tire Unina: Development and Modeling of a Sensing System for Intelligent Tires
Paper in proceeding, 2019

In recent years, a great deal of research has been devoted to develop intelligent tire concepts, aiming at increasing the effectiveness of the active safety system of ground vehicles. There are several areas of improvement regarding intelligent tires; among them, the possibility of correlating information provided by sensors with tire dynamics. However, many approaches are based on regression algorithms which need a large amount of data to be collected and can easily lead to misinterpretations due to the non-full-physical nature of the proposed methods. In this paper, the use of a cost-effective flex sensor for intelligent tire applications is presented. The proposed technology is based on a flexible ring tire model (FRTM) able to estimate the tire circumferential strain due to different load conditions. The flex sensor has been also combined with a a wireless data transmission and a suitable prototype has been realized. Also, a simplified analytical expression for describing the tire curvature according to the applied load has been derived in closed-form. Experimental results have been finally analyzed by employing the FRTM and an analytical procedure for correlating the tire curvature with the voltage outputs provided by the flex sensor is discussed.

tire dynamics

flex sensor

tire

flexible ring

strain

Author

G. Breglio

University of Naples Federico II

A. Irace

University of Naples Federico II

V.R. Marrazzo

University of Naples Federico II

M. Riccio

University of Naples Federico II

Luigi Romano

Chalmers, Mechanics and Maritime Sciences (M2), Vehicle Engineering and Autonomous Systems

S. Strano

University of Naples Federico II

M. Terzo

University of Naples Federico II

5th International Forum on Research and Technologies for Society and Industry: Innovation to Shape the Future, RTSI 2019 - Proceedings

453-458 8895537
978-172813815-2 (ISBN)

2019 IEEE 5th International forum on Research and Technology for Society and Industry (RTSI)
Florence, Italy,

Areas of Advance

Transport

Subject Categories

Applied Mechanics

Control Engineering

Signal Processing

Other Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1109/RTSI.2019.8895537

More information

Latest update

3/21/2023