汽车工程 ›› 2021, Vol. 43 ›› Issue (1): 121-128.doi: 10.19562/j.chinasae.qcgc.2021.01.016

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基于试验设计与PSI决策相结合的白车身前端结构轻量化设计

王登峰,李慎华()   

  1. 吉林大学,汽车仿真与控制国家重点实验室,长春 130022
  • 收稿日期:2020-04-22 修回日期:2020-08-06 出版日期:2021-01-25 发布日期:2021-02-03
  • 通讯作者: 李慎华 E-mail:shli18@mails.jlu.edu.cn
  • 基金资助:
    国家自然科学基金(51975244)

Lightweight Design for the Front⁃end Structure of BIW Based on the Combination of the Design of Experiment and PSI Decision Tool

Dengfeng Wang,Shenhua Li()   

  1. Jilin University,State Key Laboratory of Automotive Simulation and Control,Changchun 130022
  • Received:2020-04-22 Revised:2020-08-06 Online:2021-01-25 Published:2021-02-03
  • Contact: Shenhua Li E-mail:shli18@mails.jlu.edu.cn

摘要:

为提高白车身轻量化设计效率,提出了一种试验设计与PSI决策相结合的轻量化设计策略。首先对白车身基本静-动态性能和正撞安全性能进行有限元分析,并通过车辆正撞试验验证有限元模型的准确性。然后采用贡献度分析对白车身前端结构进行设计变量筛选。接着通过试验设计获得白车身前端结构轻量化备选解。最后采用PSI法对众多备选解进行多目标决策,获得最佳轻量化方案。结果表明,轻量化设计后,白车身前端结构质量减轻4.43 kg,轻量化率达7.23%,同时白车身性能均满足设计基线要求。

关键词: 白车身, 轻量化, 耐撞性, 试验设计, PSI决策

Abstract:

A lightweight design strategy combining design of experiments and PSI decision tool is proposed to improve the efficiency of BIW lightweight design. First of all, a finite element analysis on the basic static?dynamic performance and the frontal collision safety performance of BIW is conducted and the correctness of the finite element model is verified by vehicle frontal crash test. Then the design variables for the front?end structure of the BIW are screened in by using contribution analysis technique. Next, the lightweight candidate solutions for the front?end structure of the BIW are obtained through the design of experiments. Finally, PSI method is used to make multi?objective decision from numerous lightweight candidate solutions to obtain the best lightweight solution. The results show that after lightweight design the mass of front?end structure of BIW is reduced by 4.43 kg, corresponding to a lightweighting rate of 7.23 %, while the performance of BIW meets the design baseline requirements.

Key words: BIW, lightweight, crashworthiness, design of experiments, PSI decision making