汽车工程

汽车工程 ›› 2019, Vol. 41 ›› Issue (11): 1301-1307.doi: 10.19562/j.chinasae.qcgc.2019.011.011

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基于Kriging模型的座椅子系统安全性能优化研究

郑建洲1, 陈有松2, 吕斌斌2, 尹浩庆2   

  1. 1.同济大学汽车学院,上海 201804;
    2.上海汽车集团股份有限公司商用车技术中心,上海 200438
  • 收稿日期:2018-11-14 出版日期:2019-11-25 发布日期:2019-11-28
  • 通讯作者: 郑建洲,硕士,E-mail:ZhengJianzhou@saicmotor.com

A Study on Safety Performance Optimization of Seat Subsystem Based on Kriging Model

Zheng Jianzhou1, Chen Yousong2, Lü Binbin2, Yin Haoqing2   

  1. 1.School of Automotive Studies, Tongji University, Shanghai 201804;
    2.SAIC Motor Commercial Vehicle Technical Center, Shanghai 200438
  • Received:2018-11-14 Online:2019-11-25 Published:2019-11-28

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摘要： 本文旨在研究在正面碰撞中起乘员保护作用的座椅子系统的参数优化。首先搭建某商用车主驾驶员座椅子系统正撞台车试验的仿真模型,并经台车试验验证。然后结合最优拉丁超立方试验设计,对11个设计参数进行灵敏度分析并挑选出6个相对最敏感的参数,构造了基于敏感参数的Kriging模型,分析了正面碰撞时座椅参数对乘员保护效果的影响。最后以假人H点的前移量和下潜量最小为目标,采用NSGA-II遗传算法进行多目标优化。结果表明:优化后假人H点的前移量下降了2.98%,下潜量性能降低了10.47%,优化效果明显。

关键词: 正面碰撞, 灵敏度分析, Kriging模型, 多目标优化

Abstract: This paper aims to study the parameters optimization of seat subsystem which plays the role of occupant protection in frontal crash. Firstly, a simulation model of driver‘s seat subsystem in a commercial vehicle for a frontal impact sled test is established and verified by sled test. Then, a sensitivity analysis is conducted on 11 design parameters with the design of experiment of optimal Latin hypercube, and 6 relatively most sensitive parameters are selected to construct a Kriging model for analyzing the influence of seat parameters on occupant protection effect in frontal crash. Finally, NSGA-II genetic algorithm is adopted to perform multi-objective optimization with minimizing the forward displacement and submergence of dummy’s H-point as objective. The results show that after optimization the forward displacement and submergence of dummy‘s H-point is reduced by 2.98% and 10.47% respectively, demonstrating the apparent effects of optimized seat subsystem in occupant protection.

Key words: frontal crash, sensitivity analysis, Kriging model, multi-objective optimization