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作 者:李旭东 王新宇 田程 张新峰 牛治慧 赵志强 LI Xu-dong;WANG Xin-yu;TIAN Cheng;ZHANG Xin-feng;NIU Zhi-hui;ZHAO Zhi-qiang(Chassis System Division of Chassis Test and Research Department,CATARC Automotive Test Center(Tianjin)Co.Ltd.,Tianjin 300300,China)
机构地区:[1]中汽研汽车检验中心(天津)有限公司底盘试验研究部底盘系统室,天津300300
出 处:《吉林大学学报(工学版)》2024年第1期66-75,共10页Journal of Jilin University:Engineering and Technology Edition
基 金:广西科技重大专项项目(2023AA06004,2023AA06007)。
摘 要:提出了一种新的车辆行驶工况划分方法,并将其应用到基于用户关联的车辆耐久性载荷谱编制当中。在车辆行驶工况的划分过程中选取了用以区分、量化和识别路面不平度、地形地貌、驾驶习惯等方面的7维随机向量。对这7个维度随机变量之间的相关性进行了研究,统计分析显示,7个随机变量中没有任何两个变量之间存在高度的相关性,因此,不宜对车辆行驶工况的划分方法作进一步简化。同时,由于相关维度的随机变量之间非独立,凸显了需要通过联合概率密度分布来描述车辆行驶工况的必要性。结果显示,由于所选择的各个维度全面描述和界定了车辆的行驶工况,形成了一个有机整体,在与整车不同载荷进行关联时,这一有机整体呈现出显著且有区别的整体相关性,可以基于此开展用户关联的车辆耐久性载荷谱编制。A new method to divide vehicle's driving conditions was presented and used in compiling vehicle durability load spectrum based on customer usage correlation.A seven dimension random vector was adopted to distinguish,quantify and identify road roughness,topographic feature and driving habit for division of vehicle's driving conditions.Correlation relations between the seven random variables were studied.The statistic results showed that any two variables among the seven random variables were not highly related,which indicated that further simplifying the method to divide vehicle's driving condition was not supported.Besides,the seven random variables were not independent,which highlighted the necessity to use the associated probability density distribution to describe vehicle's driving conditions.The results shown that the chosen dimensions thoroughly described and defined vehicle's driving conditions,which became an organic unity.When correlating to different loads of vehicle,the organic unity showed significant but distinctive overall correlation relationship,which could be used to compile vehicle durability load spectrum correlated to customer usage.
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