Method for dynamically adjusting multi-body model of suspension

Abstract

The invention relates to a dynamic adjustment and calibration method for a suspension multi-body model, and the method comprises the following steps: S1, formulating a benchmarking working condition, determining a benchmarking load signal, arranging a detection element for detecting the benchmarking load signal on a test suspension, and installing a loading system and a body-in-white provided with the test suspension on a test bed to form a physical test bed assembly; s2, establishing a loading system multi-body model, establishing a suspension multi-body model, and assembling the suspension multi-body model and the loading system multi-body model into a virtual test bed model; s3, acquiring actual measurement benchmarking load signal data; s4, acquiring simulation benchmarking load signal data; and S5, comparing whether the coincidence degree of the simulation benchmarking load signal data and the actual measurement benchmarking load signal data reaches the standard or not, if so, completing the dynamic adjustment of the suspension multi-body model, otherwise, adjusting the parameters of the suspension multi-body model, and returning to the step S4 until the dynamic adjustment of the suspension multi-body model is completed. The dynamic adjustment method for the suspension multi-body model can be carried out indoors, is good in repeatability and avoids tires.

Description

technical field [0001] The invention relates to automobile CAE simulation, in particular to a method for dynamic adjustment of a suspension multi-body model. Background technique [0002] With the continuous advancement of computer simulation technology in the automotive industry, the application of vehicle multi-body simulation is becoming more and more extensive. Especially in performance fields such as vehicle stability, vehicle smoothness, and vehicle durability load decomposition, vehicle multi-body simulation plays an important role and is irreplaceable. A multi-body model of the whole vehicle that can accurately reflect the performance characteristics of the real vehicle is the key to the reliability of the simulation. However, due to the extremely complicated parameters used in modeling, many parameters still need various strict testing methods to obtain, so the accuracy of the model must be ensured However, all modeling parameters must be scientifically controlled,...

AI Technical Summary

Problems solved by technology

Compared with the field test method, the four-column dynamic adjustment method is carried out indoors, with fewer uncertain factors; but there are still two problems, one is that the body cannot be fixed, and the other is that the external excitation input still needs to be transmitted to the chassis through the tires, and the tire model The accuracy problem will also affect the benchmarking

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