RT Journal Article
T1 A Novel Strain-Based Method to Estimate Tire Conditions Using Fuzzy Logic for Intelligent Tires
A1 García-Pozuelo Ramos, Daniel
A1 Olatunbosun, Oluremi
A1 Yunta Ramírez, Jorge
A1 Yang, Xiaoguang
A1 Díaz López, Vicente
AB The so-called intelligent tires are one of the most promising research fields for automotive engineers. These tires are equipped with sensors which provide information about vehicle dynamics. Up to now, the commercial intelligent tires only provide information about inflation pressure and their contribution to stability control systems is currently very limited. Nowadays one of the major problems for intelligent tire development is how to embed feasible and low cost sensors to obtain reliable information such as inflation pressure, vertical load or rolling speed. These parameters provide key information for vehicle dynamics characterization. In this paper, we propose a novel algorithm based on fuzzy logic to estimate the mentioned parameters by means of a single strain-based system. Experimental tests have been carried out in order to prove the suitability and durability of the proposed on-board strain sensor system, as well as its low cost advantages, and the accuracy of the obtained estimations by means of fuzzy logic.
PB MDPI
SN 1424-8220
YR 2017
FD 2017-02
LK https://hdl.handle.net/10016/24451
UL https://hdl.handle.net/10016/24451
LA eng
DS e-Archivo
RD 2 may. 2024