基于HHT和BP神经网络的正面柱碰安全气囊算法研究  

Airbag Algorithm for Frontal Pole Impact Based on HHT and BP Neural Network

作　　者：白芳华 杨鑫 胡伟[1] 张磊 BAI Fang-hua;YANG Xin;HU Wei;ZHANG Lei(Chongqing Vehicle Test&Research Institute Co.,Ltd,Chongqing 401122,China)

机构地区：[1]重庆车辆检测研究院有限公司,重庆401122

出　　处：《机械研究与应用》2021年第3期141-145,共5页Mechanical Research & Application

基　　金：重庆车辆检测研究院有限公司自研项目:车辆25%偏置碰撞工况仿真及试验装置设计(编号:20AKC26)。

摘　　要：为提高正面柱碰撞事故中安全气囊对乘员的保护作用,通过HHT处理分析了正面柱碰撞事故类型并获得识别正面柱碰的四个特征参数。结合特征参数变量,通过BP神经网络开发了一种新型安全气囊算法。通过台车试验验证了该算法的有效性。该算法可以准确的鉴别汽车碰撞中的柱碰撞和正面碰撞,及时展开安全气囊,从而提高了安全气囊对乘员的保护性能。In order to improve the protection of airbag for occupants in the frontal pole crash,the identifying characteristic parameters were obtained through analysis of the crash type by HHT.A type of new airbag algorithm was developed according to the characteristic parameters and BP neural network.The effectiveness of the algorithm was verified by sled tests.The algorithm can accurately identify the pole impact and frontal impact,and deploy the airbag in time,so as to improve the protection performance of airbag to the passengers.

关 键 词：柱碰撞 HHT BP神经网络 安全气囊算法 

分 类 号：U463[机械工程—车辆工程]