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Automobile passenger restraint system optimization design method based on self-adaptive agent model

An adaptive agent, occupant restraint technology, applied in the field of vehicle safety, to achieve the effect of improving computing efficiency

Active Publication Date: 2020-03-17
CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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Problems solved by technology

[0008] The purpose of the present invention is in order to solve the above-mentioned problems existing in the optimization design method of the existing vehicle occupant restraint system, and propose a method for optimal design of the vehicle occupant restraint system based on an adaptive agent model

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  • Automobile passenger restraint system optimization design method based on self-adaptive agent model
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  • Automobile passenger restraint system optimization design method based on self-adaptive agent model

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Embodiment Construction

[0060] General method of the present invention is described below in conjunction with accompanying drawing:

[0061] Such as figure 1 As shown, an optimal design method of vehicle occupant restraint system based on adaptive agent model, including the following steps:

[0062] Step 1: Establish a numerical simulation model of the vehicle occupant restraint system, and determine the design variables, constraint functions and objective functions for the protection performance of the vehicle occupant restraint system, so as to establish an optimal design problem for the vehicle occupant restraint system, the specific expression is the formula ( 1):

[0063] s.t.g k (X)≤b k ,k=1,2,...,m

[0064]

[0065] In formula (1), f WIC (X) is the objective function, g k (X) is the constraint function, b k is a constant value, X is an n-dimensional design vector, and its value range is objective function f WIC (X) is the weighted damage criterion, and its calculation formula is...

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Abstract

The invention discloses an automobile passenger restraint system optimization design method based on a self-adaptive agent model. According to the method, sample points are sampled through a Latin hypercube experiment design method, meanwhile, optimal shape parameters corresponding to the sample points are solved through a radial basis function, and the solved optimal shape parameters are combinedwith the sample points to construct an agent model of the automobile passenger restraint system; in order to ensure the precision of an optimization calculation result, multiple reconstruction of theagent model is realized based on error judgment, so that a final approximate optimization design problem of the automobile passenger restraint system is obtained, and an optimization solution meetingdesign requirements is solved through an intergeneration mapping genetic algorithm, so that the safety of automobile passengers is ensured. According to the method, the protection performance of theautomobile passenger restraint system can be effectively improved, the optimized calculation efficiency and solving quality can be essentially improved, and the method has wide engineering applicationvalue in the field of automobile safety.

Description

technical field [0001] The invention relates to the field of vehicle safety, in particular to an optimal design method for an automobile occupant restraint system based on an adaptive agent model. Background technique [0002] When a car collides, the car occupant restraint system composed of seat belts, safety seats, airbags and other devices can not only effectively buffer the impact load on the occupants, but also avoid secondary collisions between the occupants and the interior of the vehicle body. Thereby play the role of car occupant protection. Studies have shown that the protective performance of the occupant restraint system will directly determine the degree of occupant injury and death rate. Therefore, the vehicle occupant restraint system is the top priority of vehicle safety technology research. [0003] For the design of vehicle occupant restraint system, the existing optimal design methods have the following problems: [0004] 1. Most of the existing optimi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06F30/15
CPCY02T10/40
Inventor 刘鑫刘祥周振华龚敏陈德
Owner CHANGSHA UNIVERSITY OF SCIENCE AND TECHNOLOGY
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