A novel tire contact patch soft sensor via Neural Networks

Leopoldo Urbina, Carlos A. Duchanoy, Gamaliel Faustino-González, Marco A. Moreno-Armendáriz, Carlos A. Cruz-Villar, Hiram Calvo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In this paper, a novel application of a soft sensor via Neural Networks is proposed. One of the most critical issues in the car is the area where the tires are in contact with the ground, these are the only points of contact between the vehicle and the road. The importance lies in the fact that keeping the tire contact patch within the operational parameters ensures the safety, comfort and maneuverability of the vehicle. There are some techniques to measure the tire contact patch, but the operating conditions of the car make impossible the implementation; so in this work the tire contact patch is obtained by the frustrated total internal reflection phenomenon and with the measures of 12 sensors in the car, a Neural Network is trained and tested. Thus, a soft sensor that accurately estimates this variable is the main contribution of this work.

Original languageEnglish
Title of host publication2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467378390
DOIs
StatePublished - 14 Dec 2015
Event12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015 - Mexico City, Mexico
Duration: 26 Oct 201530 Oct 2015

Publication series

Name2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015

Conference

Conference12th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2015
Country/TerritoryMexico
CityMexico City
Period26/10/1530/10/15

Keywords

  • Neuronal Networks
  • Soft Sensor
  • Tire contact patch

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