Quality Estimation Method of Heavy Vehicle Based on Speed Change. Issue 2 (October 2020)

• Record Type: Journal Article
• Authors: Hu, Yi; Xu, Yongbing; Liu, Li; Jin, Bihui
• Is Part Of: Journal of physics. Volume 1650:Issue 2(2020)
• Publication Date: 2020-10
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1650/2/022038
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: The heavy-duty vehicle has a wide range of mass changes from no-load to full-load, which affects the shift control of the heavy-duty vehicle transmission. Therefore, the quality of heavy vehicles needs to be identified. The traditional taxiing method needs to know the road rolling resistance coefficient and air resistance coefficient. Acceleration sensor-based automobile quality identification methods require additional sensors on the car, which increases the cost of the car. In this study, based on the principle of function conversion and vehicle longitudinal dynamics, a method for estimating the mass of a heavy vehicle based on changes in vehicle speed is proposed, in the case of unknown vehicle characteristic parameters. In this study, after calculating the air resistance coefficient of the vehicle by the coasting method when the vehicle is under no load, the rolling resistance coefficient of the vehicle is decoupled based on the functional principle and the least square method during the flat road taxiing phase of the heavy vehicle. Based on this, the vehicle longitudinal dynamics model is established, and the mass of the heavy vehicle is estimated by fitting the vehicle speed with the Newton's global algorithm. The research results show that the algorithm of this research can calculate the rolling resistance coefficient of the vehicle in real-time during the taxiing phase of the vehicle, with a calculation accuracy of more than 97%, and the online real-time estimation of the vehicle quality, with an accuracy of more than 95%. The algorithm of this study provides a new solution for online estimation of heavy vehicle driving quality, and can be used for automatic shift control of heavy vehicles.