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基于汽车道路测试确定轮胎附着特性

Determining Tyre Adhesion Characteristics Based on the Road Tests of Automobiles.

作者信息

Reński Andrzej, Brukalski Mateusz, Sar Hubert, Abramowski Michał, Fundowicz Piotr, Rokicki Krzysztof

机构信息

Institute of Vehicles and Construction Machinery Engineering, Warsaw University of Technology, 84 Narbutta Str., 02-524 Warsaw, Poland.

出版信息

Sensors (Basel). 2024 Nov 22;24(23):7447. doi: 10.3390/s24237447.

DOI:10.3390/s24237447
PMID:39685984
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11644148/
Abstract

The motion of automobiles significantly depends on the conditions of interaction between a tyre and a road surface. One of the most frequently used ways of presenting the conditions of cooperation between a tyre and a road surface is a characteristic showing a longitudinal adhesion coefficient as a function of a longitudinal slip of a tyre. One of the methods for determining tyre-to-road adhesion characteristics is to use a special trailer combined with a towing vehicle. This type of method is commonly used to determine adhesion characteristics for a braked wheel. This article presents a method for determining adhesion characteristics for a driven wheel based on the road tests of automobiles. For this purpose, vehicle wheel velocity signals from a vehicle CAN network and a vehicle velocity signal from a GPS receiver were used. The signals from the CAN network were recorded using a special measurement card and an application developed in LabVIEW environment. The application developed in LabVIEW also allowed for simultaneous recording of automobile velocity from the GPS receiver. In this paper, the courses of a wheel velocity, longitudinal acceleration of automobile, longitudinal slip of the front wheels in time domain, as well as the coefficient of tyre-to-road longitudinal adhesion as a function of the longitudinal slip of the wheel are presented.

摘要

汽车的运动很大程度上取决于轮胎与路面之间的相互作用条件。描述轮胎与路面之间合作条件最常用的方法之一是一种特性曲线，它显示纵向附着系数作为轮胎纵向滑移的函数。确定轮胎与路面附着特性的方法之一是使用与牵引车相结合的特殊拖车。这种方法通常用于确定制动轮的附着特性。本文提出了一种基于汽车道路试验确定驱动轮附着特性的方法。为此，使用了来自车辆CAN网络的车轮速度信号和来自GPS接收器的车辆速度信号。来自CAN网络的信号使用特殊的测量卡和在LabVIEW环境中开发的应用程序进行记录。在LabVIEW中开发的应用程序还允许同时记录来自GPS接收器的汽车速度。本文给出了车轮速度、汽车纵向加速度、前轮纵向滑移在时域中的变化过程，以及轮胎与路面纵向附着系数作为车轮纵向滑移函数的变化情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9547/11644148/103ec256f9ed/sensors-24-07447-g012.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9547/11644148/cf0289f2ba55/sensors-24-07447-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9547/11644148/b2bf1f8c5724/sensors-24-07447-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9547/11644148/0d2687b22f95/sensors-24-07447-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9547/11644148/2afc8a945ba2/sensors-24-07447-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9547/11644148/1f8dd66b2b31/sensors-24-07447-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9547/11644148/eed1441651c3/sensors-24-07447-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9547/11644148/2fa73f7e2e88/sensors-24-07447-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9547/11644148/103ec256f9ed/sensors-24-07447-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9547/11644148/fb5cc12f2f6b/sensors-24-07447-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9547/11644148/638cb702608d/sensors-24-07447-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9547/11644148/cd477e91f6ea/sensors-24-07447-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9547/11644148/c8392c416a64/sensors-24-07447-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9547/11644148/cf0289f2ba55/sensors-24-07447-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9547/11644148/b2bf1f8c5724/sensors-24-07447-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9547/11644148/0d2687b22f95/sensors-24-07447-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9547/11644148/2afc8a945ba2/sensors-24-07447-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9547/11644148/1f8dd66b2b31/sensors-24-07447-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9547/11644148/eed1441651c3/sensors-24-07447-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9547/11644148/2fa73f7e2e88/sensors-24-07447-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9547/11644148/103ec256f9ed/sensors-24-07447-g012.jpg

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