RT Journal Article
T1 A Strain-Based Method to Estimate Slip Angle and Tire Working Conditions for Intelligent Tires Using Fuzzy Logic
A1 García-Pozuelo Ramos, Daniel
A1 Yunta Ramírez, Jorge
A1 Olatunbosun, Oluremi
A1 Yang, Xiaoguang
A1 Díaz López, Vicente
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.
PB MDPI
SN 1424-8220
YR 2017
FD 2017-04
LK https://hdl.handle.net/10016/24504
UL https://hdl.handle.net/10016/24504
LA eng
DS e-Archivo
RD 1 sept. 2024