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Python-based ADAMS post-processing file K&C parameter extraction method and system

A parameter extraction and K&C technology, applied in the computer field, can solve problems such as high error rate, time-consuming and labor-intensive problems

Pending Publication Date: 2021-12-03
CHONGQING CHANGAN AUTOMOBILE CO LTD
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  • Description
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a method and system for extracting K&C parameters of ADAMS post-processing files based on Python, and solve the technical problem: extracting the K&C parameters of ADAMS post-processing files manually at present is time-consuming and labor-intensive, and the error rate is high

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  • Python-based ADAMS post-processing file K&C parameter extraction method and system
  • Python-based ADAMS post-processing file K&C parameter extraction method and system
  • Python-based ADAMS post-processing file K&C parameter extraction method and system

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Embodiment Construction

[0040] The present invention will be further described below in conjunction with accompanying drawing.

[0041] Such as image 3 As shown, the present invention provides a method for extracting K&C parameters of post-processing files in ADAMS based on Python. Before the present invention executes the control function, the post-processing file must be generated first. First, according to the different requirements of the 76 K&C indicators, the ADAMS / Car program is run to generate the post-processing file, and a number of different txt post-processing files are generated.

[0042] Here we borrow the database that comes with ADAMS, and take "extraction of front suspension stiffness" as an example to illustrate the post-processing file extraction method:

[0043] Step 1: Open the simulation model. Open Adams / Car and click File, Open, Assembly in turn to open the mdi_front_vehicl.asy front suspension assembly model in the acar_shared database;

[0044] The second step: simulatio...

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Abstract

The invention relates to a Python-based ADAMS post-processing file K&C parameter extraction method and system. The method comprises the following steps: reading a post-processing file, and reserving a digital part in the post-processing file; carrying out fragmentation processing on the digital part, and transferring the digital part into an array; converting the data type in the array into a floating-point number format; establishing a matrix, and filling the converted array into the matrix; extracting parameters in the matrixes in different value intervals according to the K&C parameter item requirements, and obtaining K&C parameter values after calculation. According to the method, the K&C parameters can be rapidly and efficiently extracted at a zero error rate, the method can be suitable for the extraction requirements of various different K&C parameter items, and meanwhile, the link of 'simulation result automatic processing' of full-automatic dynamics simulation analysis is broken through.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a Python-based ADAMS post-processing file K&C parameter extraction technology. Background technique [0002] At present, the competition in the automotive industry is becoming increasingly fierce, and the vehicle development cycle is getting shorter and shorter. Under this premise, OEMs have raised the demand for fast and accurate simulation analysis before real vehicle verification to a new level, and automated simulation has emerged as the times require. [0003] At present, there are several automatic simulation programs in China, including automatic simulation of Adams suspension system based on VC++ and automatic dynamics KC analysis software. At present, as long as dynamic simulation is involved in the domestic industry, the ADAMS software of MSC Company of the United States is generally used, and the data results of simulation analysis need to be extracted from the post-...

Claims

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Application Information

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IPC IPC(8): G06F30/20G06F119/02
CPCG06F30/20G06F2119/02
Inventor 邓嘉庆王健谭侃伦兰孟飞
Owner CHONGQING CHANGAN AUTOMOBILE CO LTD
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