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机构地区:[1]长春工程学院机电工程学院,长春130012 [2]中国第一汽车股份有限公司技术中心,长春130011
出 处:《振动与冲击》2013年第11期25-29,34,共6页Journal of Vibration and Shock
基 金:国家自然科学基金(51008034);吉林省科技发展计划资助项目(201201135);吉林省教育厅春苗基金(2013299)
摘 要:为研究某重型载货汽车动力传动系的可靠性,提出基于山区典型公路与用户实际使用工况累积能量相关联的汽车动力传动系强化试验新方法。该方法能将用户对车辆的实际使用工况与山区典型公路强化试验相结合,可避免传动系可靠性试验的盲目性。采集山区典型公路与用户真实用法的试验数据,通过传动轴扭矩对转速的联合分级矩阵获得输出累积能量分布载荷谱。结合用户实际调查的路面比例与车辆载重数据,据Weibull分布概率直线方程及动力传动系累积能量数学模型,计算失效概率为90%条件下的四种用户典型路面及每个用户总累积能量,并对分布函数进行K-S检验;利用Monte-Carlo方法仿真模拟90%用户的动力传动系输出总能量。通过山区典型公路与90%用户累积能量的相关性计算,获得山区公路强化系数与可靠性试验规范,为科学评价及考核汽车动力传动系可靠性试验提供重要依据。In order to study the reliability of powertrain of a heavy-duty truck, a new method of enhancement test correlated with actual using conditions of a vehicale powertrain and its cumulative energy based on a typical highway in mountain area was presented, it could combine customer actual usage conditions of vehicles with the enhancement test on the typical highway in mountain area to avoid the blindness of previous powertrain reliability tests. The test data were collected on the typical highway in mountain area and the actual customer usages, and the combined grading matrix of the torque of the drive shaft versus rotational speed was used to obtain the cumulative energy distribution loading spectrum. According to the straight line equation of Weibull distribution probability and the mathematical model of the powertrain cumulative energy, the total cumulative energy of the four typical customer roads and that of each actual customer under failure probability of 90% were calculated by combining the proportions of the roads and the vehicle load data in the actual survey, Weibull distribution function was checked with the K-S test method, and then Monte-Carlo method was used to simulate the total energy output of the powertrain of 90% customers. The correlated calculations were done for the cumulative energy of the typical highway in mountain areas and that of 90% customers to obtain the enhancement coefficients and the reliability test procedure of the typical highway in mountain area so as to provide an important basis for scientific evaluation and assessment of reliability test of vehicle powertrain.
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