Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Air bag detonation control method based on genetic neural network

A genetic neural network and airbag technology, applied in the field of airbag detonation control based on genetic neural network, can solve the problems of false detonation and non-detonation, etc.

Active Publication Date: 2013-09-18
HUNAN UNIV
View PDF3 Cites 30 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is: aiming at the problem that the existing airbag detonation control method is prone to false detonation and non-detonation, the present invention provides a safe, reliable, high-accuracy, real-time intelligent airbag detonation control method

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Air bag detonation control method based on genetic neural network
  • Air bag detonation control method based on genetic neural network
  • Air bag detonation control method based on genetic neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0054] The present invention will be described in further detail below in conjunction with accompanying drawings and specific embodiments, and the present invention is not limited to the following examples, and all design ideas that apply the present invention all fall into the protection scope of the patent of the present invention. .

[0055] 1. Establish a complete vehicle finite element model and a complete vehicle-occupant-restraint system multi-rigid body model

[0056] In this specific embodiment, the finite element model of the whole vehicle and the multi-rigid body analysis model of the vehicle-occupant-restraint system are established according to the size data of the whole vehicle. First, the geometric model of the whole vehicle is used to divide the finite element mesh in Hypermesh. In order to reduce the amount of simulation calculation, the occupant restraint system is not included in the finite element model, but its mass is replaced by the corresponding mass bl...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an air bag detonation control method based on a genetic neural network, which is set up based on a genetic neural network model. The method comprises the steps that a finite element simulation model of a certain automobile type is established according to the certain automobile type; acceleration data of a complete automobile and response data of a passenger at different impact speeds are obtained by using the simulation model; a multilayer neural network model is established by taking the acceleration data of the complete automobile as an input parameter, and the impact speeds and head displacement of the passenger as output parameters; neural network parameters are optimized by a genetic algorithm; an optimal neural network parameter is obtained; an optimal network model is subjected to program writing, and input to a controller; and the controller performs real-time processing on the acceleration data input by an acceleration sensor of the automobile, and outputs a predicted impact speed and the optimal ignition time within an effective time range. The intelligent air bag detonation control method is high in accuracy and timeliness, safe and reliable.

Description

technical field [0001] The invention mainly relates to the field of intelligent control of automobile safety airbags, in particular to a genetic neural network-based safety airbag detonation control method. Background technique [0002] The airbag is called an auxiliary restraint system. When a car collides, an elastic airbag is quickly formed between the occupant and the interior components, thereby reducing the impact of the occupant and protecting the occupant's head, chest, abdomen, and legs. Vulnerable parts. Airbags are used together with seat belts. According to research, when seat belts and airbags are used together, the serious injury rate of occupants can be reduced by 50%. Although car airbags have saved the lives of countless occupants, more than 1,400 people died in airbag accidents in the United States between 2000 and 2006, including 600 infants and young children. Most safety airbag accidents are caused by misoperation of safety airbags, including false tri...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): B60R21/01
Inventor 白中浩王玉龙刘玉云
Owner HUNAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com