Yan, H.; Zhang, W.; Wang, D. Wheel Force Sensor-Based Techniques for Wear Detection and Analysis of a Special Road. Sensors2018, 18, 2493.
Yan, H.; Zhang, W.; Wang, D. Wheel Force Sensor-Based Techniques for Wear Detection and Analysis of a Special Road. Sensors 2018, 18, 2493.
Yan, H.; Zhang, W.; Wang, D. Wheel Force Sensor-Based Techniques for Wear Detection and Analysis of a Special Road. Sensors2018, 18, 2493.
Yan, H.; Zhang, W.; Wang, D. Wheel Force Sensor-Based Techniques for Wear Detection and Analysis of a Special Road. Sensors 2018, 18, 2493.
Abstract
Automobile proving ground is important for the research of vehicles which is used for the vehicle dynamics, durability testing, braking testing, etc. However, the roads in automobile proving ground will inevitably be damaged with the extension of the service life. In most previous researches, equipment similar to laser cross-section was used to detect pavement quality, the principle of which was to reflect pavement quality by detecting road surface roughness. This method ignores the elastic deformation of the roads itself when the vehicle is traveling on it and hardly compensate for the amendment. Therefore, this article presents a new method based on force sensor to reduce the impact of elastic deformation such as wheel tyre deformation, pavement deformation, and wheel rim deformation. In which, force sensors mounted on the wheels collect the three-dimensional dynamic load of the wheel.The presented method has been tested with two sets of cobblestone road load data, and the results show that The incentives imposed by the test vehicle on the target road are 88.3%, 91.0%, and 92.05% of the incentives imposed by the test vehicle on the standard road in three dimensions, respectively. It is clear that the proposed method has strong potential effectiveness to be applied for lose detection of the special road application.
Keywords
wheel force sensor, WFS, automobile proving ground, special road, dynamic detection.
Subject
Engineering, Mechanical Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
