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作 者:吕辉 郑泽滨 杨坤 黄晓婷 上官文斌[1] 姜立标[1,3] LYU Hui;ZHENG Zebin;YANG Kun;HUANG Xiaoting;SHANGGUAN Wenbin;JIANG Libiao(School of Mechanical and Automotive Engineering,South China University of Technology,Guangzhou 510641,China;Key Laboratory of Advanced Manufacture Technology for Automobile Parts Ministry of Education,Chongqing University of Technology,Chongqing 400054,China;School of Automobile and Traffic Engineering,Guangzhou City University of Technology,Guangzhou 510800,China)
机构地区:[1]华南理工大学机械与汽车工程学院,广州510641 [2]重庆理工大学汽车零部件先进制造技术教育部重点实验室,重庆400054 [3]广州城市理工学院汽车与交通工程学院,广州510800
出 处:《汽车工程学报》2023年第2期146-158,共13页Chinese Journal of Automotive Engineering
基 金:国家自然科学基金(51975217);广东省自然科学基金(2020A1515010352);汽车零部件先进制造技术教育部重点实验室开放课题(2020KLMT01)。
摘 要:在实际工程中,受测量、制造、装配、疲劳老化、工程经验、认知程度和系统复杂性等主观和客观因素的影响,汽车动力总成悬置系统(Powertrain Mounting Systems,PMS)不可避免地存在着一定的不确定性因素。相关不确定性情形主要概括为PMS参数信息充足的概率情形、PMS参数信息匮乏的非概率情形、系统部分参数信息充足而部分参数信息匮乏的概率-非概率混合情形。针对三大类不确定性情形下的汽车PMS研究,围绕不确定性建模、不确定性分析和不确定性优化等3个方面的研究方法进行了系统性的分析和总结,并指出了相关分析模型和研究方法的分析特点和适用范围等。对汽车PMS不确定性分析与优化方法的未来研究方向进行了展望。In engineering applications,the automotive powertrain mounting system(PMS)is affected by various subjective and objective factors,such as measurement,manufacturing,assembly,fatigue aging,engineering experience,cognitive level and system complexity.In this paper,the related uncertainties were mainly summarized as follows:the probabilistic cases with sufficient information of PMS parameters,the non-probabilistic cases with limited information of PMS parameters,and the probabilistic and non-probabilistic hybrid cases where sufficient information is only available for some parameters.And then the uncertainty modeling,uncertainty propagation analysis and the uncertainty-based optimization were conducted and systematically studied for the PMS considering the above three categories.The characteristics and application scopes of the relevant analysis models and research methods were also summarized.Finally some future research directions of uncertainty analysis and optimization for the PMS were prospected.
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