Publication:
A strain-based intelligent tire to detect contact patch features for complex maneuvers

Simple item page
dc.affiliation.areaUC3M. Área de Ingeniería Mecánicaes
dc.affiliation.dptoUC3M. Departamento de Ingeniería Mecánicaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Advanced Vehicle Dynamics and Mechatronic Systems - VEDYMECes
dc.contributor.authorMendoza Petit, María Fernanda
dc.contributor.authorGarcía-Pozuelo Ramos, Daniel
dc.contributor.authorDíaz López, Vicente
dc.contributor.authorOlatunbosun, Oluremi
dc.date.accessioned2022-06-30T09:34:58Z
dc.date.available2022-06-30T09:34:58Z
dc.date.issued2020-03-01
dc.description.abstractTires are essential components of vehicles and are able to transmit traction and braking forces to the contact patch, contribute to directional stability, and also help to absorb shocks. If these components can provide information related to the tire–road interaction, vehicle safety can be increased. This research is focused on developing the tire as an active sensor capable to provide its functional parameters. Therefore, in this work, we studied strain-based measurements on the contact patch to develop an algorithm to compute the wheel velocity at the contact point, the effective rolling radius and the contact length on dynamic situations. These parameters directly influence the dynamics of wheel behavior which nowadays is not clearly defined. Herein, hypotheses have been assumed based on previous studies to develop the algorithm. The results expose to view an experimental test regarding influence of the tire operational condition (slip angle, vertical load, and rolling velocity) onto the computed parameters. This information is used to feed a fuzzy logic system capable of estimating the effective radius and contact length. Furthermore, a verification process has been carried out using CarSim simulation software to get the inputs for the fuzzy logic system at complex maneuversen
dc.format.extent24
dc.identifier.bibliographicCitationMendoza-Petit, M. F., García-Pozuelo, D., Díaz, V., & Olatunbosun, O. (2020). A Strain-Based Intelligent Tire to Detect Contact Patch Features for Complex Maneuvers. In Sensors (Vol. 20, Issue 6, p. 1750). MDPI AG.en
dc.identifier.doihttps://doi.org/10.3390/s20061750
dc.identifier.publicationfirstpage1
dc.identifier.publicationissue6
dc.identifier.publicationlastpage24
dc.identifier.publicationtitleSensors (Switzerland)en
dc.identifier.publicationvolume20
dc.identifier.urihttps://hdl.handle.net/10016/35349
dc.identifier.uxxiAR/0000025591
dc.language.isoengen
dc.publisherMDPIen
dc.rights© 2020 by the authors.en
dc.rightsAtribución 3.0 España*
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subject.ecienciaIngeniería Mecánicaes
dc.subject.otherContact Lengthen
dc.subject.otherEffective Radiusen
dc.subject.otherFuzzy Logic Systemen
dc.subject.otherIntelligent Tireen
dc.subject.otherSensorsen
dc.subject.otherSimulationen
dc.subject.otherStrain Gaugeen
dc.subject.otherWheel Speeden
dc.titleA strain-based intelligent tire to detect contact patch features for complex maneuversen
dc.typeresearch article*
dc.type.hasVersionVoR*
dspace.entity.typePublication
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
strain_S_2020.pdf
Size:
5.54 MB
Format:
Adobe Portable Document Format
Download
Collections
DIM - MECATRAN - Artículos de revistas
Proyectos FOS (2022-2023)