A novel strain-based method to estimate tire conditions using fuzzy logic for intelligent tires

Research output: Contribution to journalArticle

Standard

A novel strain-based method to estimate tire conditions using fuzzy logic for intelligent tires. / Garcia-Pozuelo, Daniel; Olatunbosun, Oluremi; Yunta, Jorge; Yang, Xiaoguang; Diaz, Vicente.

In: Sensors, Vol. 17, No. 2, 350, 10.02.2017.

Research output: Contribution to journalArticle

Harvard

APA

Vancouver

Author

Garcia-Pozuelo, Daniel ; Olatunbosun, Oluremi ; Yunta, Jorge ; Yang, Xiaoguang ; Diaz, Vicente. / A novel strain-based method to estimate tire conditions using fuzzy logic for intelligent tires. In: Sensors. 2017 ; Vol. 17, No. 2.

Bibtex

@article{29ffde72fb6e4042a2386009d4fd7457,
title = "A novel strain-based method to estimate tire conditions using fuzzy logic for intelligent tires",
abstract = "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.",
keywords = "Fuzzy logic, Intelligent tires, Strain gauges, Tire conditions, Traffic safety",
author = "Daniel Garcia-Pozuelo and Oluremi Olatunbosun and Jorge Yunta and Xiaoguang Yang and Vicente Diaz",
year = "2017",
month = feb,
day = "10",
doi = "10.3390/s17020350",
language = "English",
volume = "17",
journal = "Sensors",
issn = "1424-8220",
publisher = "MDPI",
number = "2",

}

RIS

TY - JOUR

T1 - A novel strain-based method to estimate tire conditions using fuzzy logic for intelligent tires

AU - Garcia-Pozuelo, Daniel

AU - Olatunbosun, Oluremi

AU - Yunta, Jorge

AU - Yang, Xiaoguang

AU - Diaz, Vicente

PY - 2017/2/10

Y1 - 2017/2/10

N2 - 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.

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.

KW - Fuzzy logic

KW - Intelligent tires

KW - Strain gauges

KW - Tire conditions

KW - Traffic safety

U2 - 10.3390/s17020350

DO - 10.3390/s17020350

M3 - Article

AN - SCOPUS:85012195621

VL - 17

JO - Sensors

JF - Sensors

SN - 1424-8220

IS - 2

M1 - 350

ER -