A strain-based method to estimate slip angle and tire working conditions for intelligent tires using fuzzy logic

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

In: Sensors, Vol. 17, No. 4, 874, 16.04.2017.

Research output: Contribution to journalArticle

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Garcia-Pozuelo, Daniel ; Yunta, Jorge ; Olatunbosun, Oluremi ; Yang, Xiaoguang ; Diaz, Vicente. / A strain-based method to estimate slip angle and tire working conditions for intelligent tires using fuzzy logic. In: Sensors. 2017 ; Vol. 17, No. 4.

Bibtex

@article{1f804147086342e0ad515c90a7e2b113,
title = "A strain-based method to estimate slip angle and tire working conditions for intelligent tires using fuzzy logic",
abstract = "Tires equipped with sensors, the so-called “intelligent tires”, can provide vital information for control systems, drivers and external users. In this research, tire dynamic strain characteristics in cornering conditions are collected and analysed in relation to the variation of tire working conditions, such as inflation pressure, rolling speed, vertical load and slip angle. An experimental tire strain-based prototype and an indoor tire test rig are used to demonstrate the suitability of strain sensors to establish relations between strain data and lateral force. The results of experiments show that strain values drop sharply when lateral force is decreasing, which can be used to predict tire slip conditions. As a first approach to estimate some tire working conditions, such as the slip angle and vertical load, a fuzzy logic method has been developed. The simulation and test results confirm the feasibility of strain sensors and the proposed computational model to solve the non-linearity characteristics of the tires{\textquoteright} parameters and turn tires into a source of useful information.",
keywords = "Fuzzy logic, Intelligent tires, Slip angle estimation, Strain gauges, Tire conditions",
author = "Daniel Garcia-Pozuelo and Jorge Yunta and Oluremi Olatunbosun and Xiaoguang Yang and Vicente Diaz",
year = "2017",
month = apr,
day = "16",
doi = "10.3390/s17040874",
language = "English",
volume = "17",
journal = "Sensors",
issn = "1424-8220",
publisher = "MDPI",
number = "4",

}

RIS

TY - JOUR

T1 - A strain-based method to estimate slip angle and tire working conditions for intelligent tires using fuzzy logic

AU - Garcia-Pozuelo, Daniel

AU - Yunta, Jorge

AU - Olatunbosun, Oluremi

AU - Yang, Xiaoguang

AU - Diaz, Vicente

PY - 2017/4/16

Y1 - 2017/4/16

N2 - Tires equipped with sensors, the so-called “intelligent tires”, can provide vital information for control systems, drivers and external users. In this research, tire dynamic strain characteristics in cornering conditions are collected and analysed in relation to the variation of tire working conditions, such as inflation pressure, rolling speed, vertical load and slip angle. An experimental tire strain-based prototype and an indoor tire test rig are used to demonstrate the suitability of strain sensors to establish relations between strain data and lateral force. The results of experiments show that strain values drop sharply when lateral force is decreasing, which can be used to predict tire slip conditions. As a first approach to estimate some tire working conditions, such as the slip angle and vertical load, a fuzzy logic method has been developed. The simulation and test results confirm the feasibility of strain sensors and the proposed computational model to solve the non-linearity characteristics of the tires’ parameters and turn tires into a source of useful information.

AB - Tires equipped with sensors, the so-called “intelligent tires”, can provide vital information for control systems, drivers and external users. In this research, tire dynamic strain characteristics in cornering conditions are collected and analysed in relation to the variation of tire working conditions, such as inflation pressure, rolling speed, vertical load and slip angle. An experimental tire strain-based prototype and an indoor tire test rig are used to demonstrate the suitability of strain sensors to establish relations between strain data and lateral force. The results of experiments show that strain values drop sharply when lateral force is decreasing, which can be used to predict tire slip conditions. As a first approach to estimate some tire working conditions, such as the slip angle and vertical load, a fuzzy logic method has been developed. The simulation and test results confirm the feasibility of strain sensors and the proposed computational model to solve the non-linearity characteristics of the tires’ parameters and turn tires into a source of useful information.

KW - Fuzzy logic

KW - Intelligent tires

KW - Slip angle estimation

KW - Strain gauges

KW - Tire conditions

UR - http://www.scopus.com/inward/record.url?scp=85017674371&partnerID=8YFLogxK

U2 - 10.3390/s17040874

DO - 10.3390/s17040874

M3 - Article

VL - 17

JO - Sensors

JF - Sensors

SN - 1424-8220

IS - 4

M1 - 874

ER -