Three-dimensional road surface elevation data generation method for vehicle dynamics research

Abstract

The invention discloses a three-dimensional road surface elevation data generation method for vehicle dynamics research. The method comprises the following steps of: 1, comparing a road surface roughness power spectrum density power function expression specified by a national standard by a least square nonlinear parameter estimation method to obtain parameters in a road surface roughness power spectrum density rational function expression; 2, extending a one-dimensional power spectrum density rational function expression to acquire two-dimensional power spectrum density, and establishing a three-dimensional road surface elevation mathematical model based on a two-dimensional inverse flourier transform method according to the two-dimensional power spectrum density; and 3, programming in a matrix laboratory (MATLAB) according to the mathematical model obtained in the step 2, and generating three-dimensional road surface elevation data according to required road surface level, road length, width and sampling interval. By the method, the road surface elevation data is quickly generated, power spectrum characteristics of a straight track and a bent track of a road surface are excellent, and the generated data can replace data which is manually measured on site; and the method is suitable for vehicle dynamics research of dynamics software and a virtual prototype of a vehicle.

Description

technical field [0001] The invention relates to the field of vehicle dynamics research, in particular to a method for generating three-dimensional road elevation data for vehicle dynamics research. Background technique [0002] The ride comfort, handling stability and safety of the vehicle are the main performances of the vehicle, and the vehicle dynamics software and virtual prototyping technology are important means for the research of ride comfort and handling stability. The road surface is the main external stimulus of the vehicle. To obtain true and accurate vehicle performance simulation results, the accuracy of the road surface model is particularly important. Most dynamic software and virtual prototypes use 3D models as the road surface stimulus. [0003] To establish a three-dimensional model of the road surface, it is necessary to obtain the road surface elevation data. There are two ways to obtain the road surface elevation data. One is to obtain it through field ...

AI Technical Summary

Problems solved by technology

For the harmonic superposition method, the unevenness of the road surface is related to the selection of the reference point, and the simulation speed of this method is slow; for the AR model method, its huge calculation amount can only be applied to a small two-dimensional array, and it cannot generate a large area Terrain, and there is no mature theoretical guidance for the selection of the optimal order of the AR model; the extended single-point inverse Fourier transform method has a fast simulation speed, but the power spectrum of the lateral trajectory of the large-area road surface generated is very different from the actual road surface

At the same time, the difference in the elevation power spectrum of the curved trajectory of the road surface generated by the above method can only be used for ride comfort simulation

To establish a road surface that can be used for the research of vehicle steering and steering-suspension coupling, one method is to obtain the data elevation points of the straight line trajectory through simulation, and according to the difference of the vehicle steering curve trajectory, the corresponding curved road surface is established through programming, which will undoubtedly increase workload

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