Garcia-Pozuelo Daniel, Yunta Jorge, Olatunbosun Oluremi, Yang Xiaoguang, Diaz Vicente
Mechanical Engineering Department, Universidad Carlos III de Madrid, Avd. De la Universidad, Madrid 28911, Spain.
School of Mechanical Engineering, University of Birmingham, Edgbaston B15 2TT, UK.
Sensors (Basel). 2017 Apr 16;17(4):874. doi: 10.3390/s17040874.
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.
配备传感器的轮胎，即所谓的“智能轮胎”，可为控制系统、驾驶员及外部用户提供重要信息。在本研究中，针对转弯工况下的轮胎动态应变特性展开收集与分析，这些特性与轮胎工作条件的变化相关，诸如充气压力、滚动速度、垂直载荷及侧偏角等。采用基于轮胎应变的实验原型及室内轮胎试验台，来证明应变传感器在建立应变数据与侧向力之间关系方面的适用性。实验结果表明，当侧向力减小时应变值急剧下降，这可用于预测轮胎打滑状况。作为估计一些轮胎工作条件（如侧偏角和垂直载荷）的初步方法，已开发出一种模糊逻辑方法。仿真和测试结果证实了应变传感器及所提出的计算模型在解决轮胎参数非线性特性以及将轮胎转变为有用信息源方面的可行性。
