汽车工程 ›› 2020, Vol. 42 ›› Issue (2): 222-227.doi: 10.19562/j.chinasae.qcgc.2020.02.012

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考虑稳健性的汽车结构耐撞性优化设计*

张海洋1, 吕晓江1,2, 周大永1, 夏梁2, 谷先广3   

  1. 1.浙江吉利汽车研究院有限公司,浙江省汽车安全技术研究重点实验室,杭州 311228;
    2.湖南大学,汽车车身先进设计制造国家重点实验室,长沙 410082;
    3.合肥工业大学智能制造技术研究院,合肥 230009
  • 收稿日期:2019-01-04 出版日期:2020-02-25 发布日期:2020-02-25
  • 通讯作者: 谷先广,副教授,硕士生导师,E-mail:gxghfut@163.com
  • 基金资助:
    *中国博士后面上基金(2018M640524)、中国博士后基金特别项目(2019T120460)和浙江省汽车安全技术研究重点实验室开放基金(2009E10013)资助。

Optimization Design of Vehicle Structural Crashworthiness with Consideration of Robustness

Zhang Haiyang1, Lü Xiaojiang1,2, Zhou Dayong1, Xia Liang2, Gu Xianguang3   

  1. 1.Geely Automobile Research Institute, Zhejiang Key Laboratory of Automobile Safety Technology, Hangzhou 311228;
    2.Hunan University, State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Changsha 410082;
    3.Intelligent Manufacturing Institute, Hefei University of Technology, Hefei 230009
  • Received:2019-01-04 Online:2020-02-25 Published:2020-02-25

摘要: 本文中基于C-NCAP中40%重叠度的偏置碰撞工况对某轿车进行结构耐撞性优化。为提高输出响应的预测精度,使用基于粒子群算法优化的支持向量回归模型来拟合设计变量与输出响应之间的关系,并利用非支配排序多目标遗传算法Ⅱ获得该优化问题的Pareto前沿。在确定性优化的基础上,并考虑产品性能在不确定因素影响下的波动,对其进行稳健性优化设计。最后,对优化结果进行有限元仿真验证。结果表明:优化后,结构质量减轻,耐撞性能明显提升,同时保障了稳定的产品性能。

关键词: 40%重叠度的偏置碰撞, 轻量化, PSO-SVR近似模型, 稳健性, 优化设计

Abstract: Based on the condition of 40% overlap offset crash against deformable barrier in C-NCAP, the structural crashworthiness of a car is optimized in this paper. In order to enhance the predicted accuracy of output responses, the support vector regression model based on particle swarm optimization algorithm is employed to simulate the relationship between output responses and design variables, and the Pareto front of the proposed optimization problem is obtained by using non-dominated sorting multi-objective genetic algorithm II. On the basis of deterministic optimization with consideration of the fluctuation of product performance under the influence of uncertain factors, an optimization design for robustness is conducted. Finally, the results of optimization are verified by finite element simulation. The results show that after optimization the mass of structure is reduced, the crashworthiness is obviously enhanced, and the stable product performances are ensured

Key words: 40% overlap offset crash, lightweighting, PSO-SVR approximate model, robustness, optimization design