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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

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dc.affiliation.areaUC3M. Área de Ingeniería Mecánicaes
dc.affiliation.dptoUC3M. Departamento de Ingeniería Mecánicaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: MECATRAN: Mecánica Experimental, Cálculo y Transporteses
dc.contributor.authorYunta Ramírez, Jorge
dc.contributor.authorGarcía-Pozuelo Ramos, Daniel
dc.contributor.authorDíaz López, Vicente
dc.contributor.authorOlatunbosun, Oluremi
dc.date.accessioned2018-03-15T14:24:32Z
dc.date.available2018-03-15T14:24:32Z
dc.date.issued2018-02
dc.descriptionThis article belongs to the Special Issue State-of-the-Art Sensors Technology in Spain 2017en
dc.description.abstractTires 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.en
dc.format.extent19
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationYunta, J., Garcia-Pozuelo, D., Diaz, V., Olatunbosun, O. (2018). 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. Sensors, 18 (2), 490.
dc.identifier.doihttps://doi.org/10.3390/s18020490
dc.identifier.issn1424-8220
dc.identifier.publicationfirstpage1
dc.identifier.publicationissue2
dc.identifier.publicationlastpage19
dc.identifier.publicationtitleSensorsen
dc.identifier.publicationvolume18
dc.identifier.urihttps://hdl.handle.net/10016/26480
dc.identifier.uxxiAR/0000020973
dc.language.isoeng
dc.publisherMDPI
dc.rights© 2018 by the authors.en
dc.rightsAtribución 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subject.ecienciaIngeniería Mecánicaes
dc.subject.otherIntelligent tiresen
dc.subject.otherStrain gaugesen
dc.subject.otherFuzzy logicen
dc.subject.otherTire slipen
dc.subject.otherLateral friction coefficienten
dc.titleA Strain-Based Method to Detect Tires' Loss of Grip and Estimate Lateral Friction Coefficient from Experimental Data by Fuzzy Logic for Intelligent Tire Developmenten
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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