Automobile safety analog simulation automatic control processing method and system

Abstract

The invention provides an automobile safety analog simulation automatic control processing method and system. The method includes: building corresponding automatic generation computer aided engineering (CAE) modules according to specific classification, obtaining CAD data according to the specific classification, guiding the obtained CAD data of each class into corresponding automatic generation CAE module, and associating the specific classes to achieve CAE whole vehicle assembly. By means of the technical scheme, the automobile safety analog simulation automatic control processing method and system achieves automatic analyzing and processing of automobile simulation safety verification, is high in efficiency, greatly shortens verification duration and accordingly effectively shortens development period of new model cars.

Description

technical field [0001] The invention relates to the field of automobile research and development, in particular to a simulation safety verification technology in the field of automobile research and development. Background technique [0002] With the rapid development of the domestic automobile industry, more and more large domestic automobile OEMs are investing more and more in the research and development of new cars. Almost every major OEM will launch 3 to 5 new models to supply the market. For all new models, virtual simulation safety verification is required in the research and development stage. Computer simulation of various parameters of the new model is used to test whether the safety performance and structural parameters of the new model meet the national mandatory standards. CAE is required during the test (Computer Aided Engineering) intervention. The traditional simulation safety verification technology is all done manually, and each new model needs to start fr...

AI Technical Summary

Problems solved by technology

The traditional simulation safety verification technology is all done manually, and each new model needs to start from the modeling, which makes the existing verification method not only cumbersome, but also inefficient, and the completion period is very long. This not only prolongs the development cycle of the entire new model, but also consumes a lot of manpower and money.