汽车工程

汽车工程 ›› 2020, Vol. 42 ›› Issue (1): 127-133.doi: 10.19562/j.chinasae.qcgc.2020.01.019

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关联用户的汽车试验场耐久性评价路况循环确定方法研究*

赵礼辉1,2, 李佳欣1, 井清3, 刘斌3, 郑松林1,2   

  1. 1.上海理工大学机械工程学院,上海 200093;
    2.机械工业汽车底盘机械零部件强度与可靠性评价重点实验室,上海 200093;
    3.上汽商用车技术中心,上海 200093
  • 收稿日期:2018-09-27 发布日期:2020-01-21
  • 通讯作者: 赵礼辉,副教授,博士,E-mail:pheigoe@126.com
  • 基金资助:
    *国家重点研发计划项目(2018YFB0104802)、国家自然科学基金(51705322)和上海市汽车工业科技发展基金(1624)资助。

Research on the Method of Determining Road Condition Cycles ofDurability Test of Correlated User Automobile Test Field

Zhao Lihui1,2, Li Jiaxin1, Jing Qing3, Liu Bin3, Zheng Songlin1,2   

  1. 1.School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093;
    2.Machinery Industry Key Laboratory for Mechanical Strength & Reliability Evaluation of Auto Chassis Components, Shanghai 200093;
    3.SAIC Commercial Vehicle Technology Center, Shanghai 200093
  • Received:2018-09-27 Published:2020-01-21

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摘要： 针对当前关联用户的试验场整车耐久性试验路况循环次数难以确定的问题,提出了基于遗传算法的多目标优化方法。以采集的用户道路载荷数据为基础,外推得到整车全寿命周期不同部位损伤目标,结合试验场各个特征路况的基础损伤矩阵,建立了“试验场用户”损伤等效关联模型,利用传统最小二乘法和遗传算法对损伤等效模型求解,并针对遗传算法的多组非劣解提出优选准则。通过试验场损伤与用户目标损伤比,分析了两者对模拟实际用户使用情况的有效性。结果表明基于遗传算法可以更为合理地确定各路况的循环次数,更好地复现不同部位的损伤水平,而最小二乘法得到的试验场路况循环损伤总体偏小,仅能在少数部位复现用户损伤。研究成果为更合理地制定试验场耐久性评价规范、有效评价整车可靠性与耐久性提供参考和依据。

关键词: 用户关联, 损伤等效, 耐久性试验, 路况循环, 优化方法

Abstract: A multi-objective optimization method based on genetic algorithm is proposed to solve the problem that it is difficult to determine the road condition cycle times of vehicle durability test in the current correlated user test field. Based on the collected user road load data, the damage target of different parts in the whole life cycle of the vehicle is extrapolated. Combined with the basic damage matrix of each road condition on the test field, the “test field-user” equivalent damage correlation model is established. The traditional least square method and genetic algorithm are adopted to solve the damage equivalent model, and an optimal criteria is proposed for multiple non-inferior solutions of the genetic algorithm. The effectiveness of the two algorithms is analyzed by comparing the damage on test field and user target. The results show that cycles of each road condition based on generic algorithm is more reasonably, and the damage level of different parts is better reproduced, while the damage on test field according to the least square method is generally small and only a few parts can reproduce the user damage. The research can provide reference and basis for more reasonable establishment of test field durability test specifications and effective evaluation of vehicle reliability and durability

Key words: user correlated, damage equivalent, rurability test, road cycles, optimization method