Batch simulation method for multi-pavement working conditions of vehicles

Abstract

The invention discloses a batch simulation method for vehicle multi-pavement working conditions, which comprises the following steps: (1) selecting an ADMAS model of a to-be-tested vehicle, selecting a plurality of road condition information files required by testing, and forming a plurality of to-be-tested models by the plurality of road condition information files and the ADMAS model of the to-be-tested vehicle; integrating the plurality of to-be-tested models to form a to-be-tested model list; (2) on the basis of the to-be-tested model list, necessary simulation working condition parameter setting is carried out on each to-be-tested model; (3) loading a plurality of to-be-tested model files in the to-be-tested model list through computer simulation software, and performing simulation calculation on each to-be-tested model at the same time to obtain batch simulation data; and (4) performing data management on the obtained batch simulation data. According to the invention, batch simulation of various road conditions is realized, so that a simulation test can be quickly and accurately carried out on the vehicle, the vehicle can be optimized, and problems can be found in time.

Description

technical field [0001] The invention relates to a vehicle simulation technology, in particular to a batch simulation method for vehicles with multiple road surface working conditions. Background technique [0002] The vehicle driving condition test is to determine the technical status and working ability of the vehicle under different road conditions through real-time measurement of parameters such as speed, acceleration, moment and torque of the vehicle body parts, and ultimately provide a basis for the optimization and improvement of the vehicle. credible basis. [0003] With the development of modern society and the flow of population, the scope of human activities is not limited to the bustling metropolis, but the footprint of activities may range from cities to villages, from plains to mountains, from deserts to dense forests. In order to meet the daily travel needs of people in different geographical environments, the performance of vehicles is particularly important....

AI Technical Summary

Problems solved by technology

[0005] 1. After the simulation of each model to be tested, the tester needs to manually load the data of the next model to be tested until the end of the test, which consumes a lot of human resources

[0006] 2. When the number of models to be tested is large, the amount of test data is huge, and the time it takes to complete the test will inevitably increase, resulting in low test efficiency

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