A strain-based method to detect tires’ loss of grip and estimate lateral friction coefficient from experimental data by fuzzy logic for intelligent tire development

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A strain-based method to detect tires’ loss of grip and estimate lateral friction coefficient from experimental data by fuzzy logic for intelligent tire development. / Yunta, Jorge; Garcia-Pozuelo, Daniel; Diaz, Vicente; Olatunbosun, Oluremi.

In: Sensors (Switzerland), Vol. 18, No. 2, 490, 06.02.2018.

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@article{3763539186ef4028844c0423a5fe582d,
title = "A strain-based method to detect tires{\textquoteright} loss of grip and estimate lateral friction coefficient from experimental data by fuzzy logic for intelligent tire development",
abstract = "Tires are a key sub-system of vehicles that have a big responsibility for comfort, fuel consumption and traffic safety. However, current tires are just passive rubber elements which do not contribute actively to improve the driving experience or vehicle safety. The lack of information from the tire during driving gives cause for developing an intelligent tire. Therefore, the aim of the intelligent tire is to monitor tire working conditions in real-time, providing useful information to other systems and becoming an active system. In this paper, tire tread deformation is measured to provide a strong experimental base with different experiments and test results by means of a tire fitted with sensors. Tests under different working conditions such as vertical load or slip angle have been carried out with an indoor tire test rig. The experimental data analysis shows the strong relation that exists between lateral force and the maximum tensile and compressive strain peaks when the tire is not working at the limit of grip. In the last section, an estimation system from experimental data has been developed and implemented in Simulink to show the potential of strain sensors for developing intelligent tire systems, obtaining as major results a signal to detect tire{\textquoteright}s loss of grip and estimations of the lateral friction coefficient.",
keywords = "Fuzzy logic, Intelligent tires, Lateral friction coefficient, Strain gauges, Tire slip",
author = "Jorge Yunta and Daniel Garcia-Pozuelo and Vicente Diaz and Oluremi Olatunbosun",
year = "2018",
month = feb,
day = "6",
doi = "10.3390/s18020490",
language = "English",
volume = "18",
journal = "Sensors",
issn = "1424-8220",
publisher = "MDPI",
number = "2",

}

RIS

TY - JOUR

T1 - A strain-based method to detect tires’ loss of grip and estimate lateral friction coefficient from experimental data by fuzzy logic for intelligent tire development

AU - Yunta, Jorge

AU - Garcia-Pozuelo, Daniel

AU - Diaz, Vicente

AU - Olatunbosun, Oluremi

PY - 2018/2/6

Y1 - 2018/2/6

N2 - Tires are a key sub-system of vehicles that have a big responsibility for comfort, fuel consumption and traffic safety. However, current tires are just passive rubber elements which do not contribute actively to improve the driving experience or vehicle safety. The lack of information from the tire during driving gives cause for developing an intelligent tire. Therefore, the aim of the intelligent tire is to monitor tire working conditions in real-time, providing useful information to other systems and becoming an active system. In this paper, tire tread deformation is measured to provide a strong experimental base with different experiments and test results by means of a tire fitted with sensors. Tests under different working conditions such as vertical load or slip angle have been carried out with an indoor tire test rig. The experimental data analysis shows the strong relation that exists between lateral force and the maximum tensile and compressive strain peaks when the tire is not working at the limit of grip. In the last section, an estimation system from experimental data has been developed and implemented in Simulink to show the potential of strain sensors for developing intelligent tire systems, obtaining as major results a signal to detect tire’s loss of grip and estimations of the lateral friction coefficient.

AB - Tires are a key sub-system of vehicles that have a big responsibility for comfort, fuel consumption and traffic safety. However, current tires are just passive rubber elements which do not contribute actively to improve the driving experience or vehicle safety. The lack of information from the tire during driving gives cause for developing an intelligent tire. Therefore, the aim of the intelligent tire is to monitor tire working conditions in real-time, providing useful information to other systems and becoming an active system. In this paper, tire tread deformation is measured to provide a strong experimental base with different experiments and test results by means of a tire fitted with sensors. Tests under different working conditions such as vertical load or slip angle have been carried out with an indoor tire test rig. The experimental data analysis shows the strong relation that exists between lateral force and the maximum tensile and compressive strain peaks when the tire is not working at the limit of grip. In the last section, an estimation system from experimental data has been developed and implemented in Simulink to show the potential of strain sensors for developing intelligent tire systems, obtaining as major results a signal to detect tire’s loss of grip and estimations of the lateral friction coefficient.

KW - Fuzzy logic

KW - Intelligent tires

KW - Lateral friction coefficient

KW - Strain gauges

KW - Tire slip

UR - http://www.scopus.com/inward/record.url?scp=85041495264&partnerID=8YFLogxK

U2 - 10.3390/s18020490

DO - 10.3390/s18020490

M3 - Article

AN - SCOPUS:85041495264

VL - 18

JO - Sensors

JF - Sensors

SN - 1424-8220

IS - 2

M1 - 490

ER -