Automobile information modeling based on nonlinear multisensor coupling

Zhou Zhang

doi:10.1117/12.3030790

16 May 2024 Automobile information modeling based on nonlinear multisensor coupling

Zhou Zhang

Proceedings Volume 13160, Fourth International Conference on Smart City Engineering and Public Transportation (SCEPT 2024); 131600M (2024) https://doi.org/10.1117/12.3030790
Event: 4th International Conference on Smart City Engineering and Public Transportation (SCEPT 2024), 2024, Beijin, China

Abstract

In order to understand the automobile information modeling based on sensor coupling, a research on automobile information modeling based on nonlinear multi-sensor coupling is proposed. In this paper, firstly, the coupling law of automobile motion in all directions is analyzed, the whole vehicle model of heavy-duty vehicle with three degrees of freedom is established, and the differential equation of system motion is deduced. Secondly, the nonlinear model is combined with the vertical point contact tire model to describe the three-dimensional nonlinear tire force, and the wheel speed is calculated in real time to calculate the slip rate. By numerical integration, the dynamic response of the vehicle during steering braking, uniform straight line and steering wheel angle jump is calculated, and compared with the traditional handling stability model, ride comfort model, virtual prototype model and test data, the effectiveness of the model is verified. Finally, by analyzing the influence of coupling on the vehicle response, it is shown that the coupling model can simultaneously study the ride comfort, handling stability and braking of the vehicle under complex working conditions.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhou Zhang "Automobile information modeling based on nonlinear multisensor coupling", Proc. SPIE 13160, Fourth International Conference on Smart City Engineering and Public Transportation (SCEPT 2024), 131600M (16 May 2024); https://doi.org/10.1117/12.3030790

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