Journal of South China University of Technology (Natural Science Edition) ›› 2014, Vol. 42 ›› Issue (3): 66-71.doi: 10.3969/j.issn.1000-565X.2014.03.011

• Traffic & Transportation Engineering • Previous Articles     Next Articles

Control Algorithm of Intelligent Airbag Based on Prediction Mode

Bai Zhong- hao Bai Fang- hua Liu Yu- yun Wang Yu- long   

  1. State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body,Hunan University,Changsha 410082,Hunan,China
  • Received:2013-07-04 Revised:2013-12-13 Online:2014-03-25 Published:2014-02-19
  • Contact: 白中浩(1978-),男,博士,副教授,主要从事汽车车身设计及安全、汽车电子研究. E-mail:baizhonghao@hnu.edu.cn
  • About author:白中浩(1978-),男,博士,副教授,主要从事汽车车身设计及安全、汽车电子研究.
  • Supported by:

    国家自然科学基金资助项目(51105137);国家” 863” 计划项目(2012AA111802)

Abstract:

In order to avoid the false triggering and non- triggering of automotive airbags,an intelligent airbag con-troller is designed on the basis of genetic neural network model.Firstly,on the basis of a developed hardware sys-tem of airbag controller,a full- vehicle finite element model and a multi- rigid- body model of the occupant restraintsystem for the target vehicle type are established and validated.Secondly,the airbag initiation manner and the opti-mal ignition time are determined through simulation analysis.Then,an intelligent control algorithm of airbag is de-signed in light of improved genetic neural network model,with its effectiveness being finally verified by a sled test.Experimental results show that the designed intelligent airbag controller helps identify the collision dynamicscorrectly and predict the initiation time accurately.

Key words: airbag, initiation algorithm, controller, genetic neural network

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