Mendoza-Petit Mª Fernanda, Garcia-Pozuelo Daniel, Diaz Vicente, Olatunbosun Oluremi
Mechanical Engineering Department, Universidad Carlos III de Madrid, Avd. De la Universidad, 28911 Madrid, Spain.
School of Mechanical Engineering, University of Birmingham, Edgbaston B15 2TT, UK.
Sensors (Basel). 2019 Jul 5;19(13):2973. doi: 10.3390/s19132973.
The possibility of using tires as active sensors opens the door to a huge number of different ways to accomplish this goal. In this case, based on a tire equipped with strain sensors, also known as an Intelligent Tire, relevant vehicle dynamics information can be provided. The purpose of this research is to improve the strain-based methodology for Intelligent Tires to estimate all tire forces, based only on deformations measured in the contact patch. Firstly, through an indoor test rig data, an algorithm has been developed to pick out the relevant features of strain data and correlate them with tire parameters. This information of the tire contact patch is then transmitted to a fuzzy logic system to estimate the tire parameters. To evaluate the reliability of the proposed estimator, the well-known simulation software CarSim has been used to back up the estimation results. The software CarSim has been used to provide the vehicle parameters in complex maneuvers. Finally, the estimations have been checked with the simulation results. This approach has enabled the behaviour of the intelligent tire to be tested for different maneuvers and velocities, providing key information about the tire parameters directly from the only contact that exists between the vehicle and the road.
将轮胎用作主动传感器的可能性为实现这一目标开辟了大量不同的途径。在这种情况下，基于配备应变传感器的轮胎，也就是智能轮胎，可以提供相关的车辆动力学信息。本研究的目的是改进智能轮胎基于应变的方法，仅根据在接触斑处测量的变形来估计所有轮胎力。首先，通过室内试验台数据，开发了一种算法来提取应变数据的相关特征，并将其与轮胎参数相关联。然后，将轮胎接触斑的这些信息传输到模糊逻辑系统中，以估计轮胎参数。为了评估所提出估计器的可靠性，使用了著名的仿真软件CarSim来支持估计结果。软件CarSim已被用于提供复杂操纵中的车辆参数。最后，将估计结果与仿真结果进行了核对。这种方法能够针对不同的操纵和速度测试智能轮胎的性能，直接从车辆与道路之间唯一的接触中提供有关轮胎参数的关键信息。
