Modeling of In-use Passenger Car CO Emission Based on Large Sample Measurement and Statistical Analysis

摘要：

To reveal the statistical regularity of in-use passenger car idle CO emission, based on the actual measuring data of 660 given type cars, and by way of strict parameter estimating and hypothesis testing, it is affirmed that the idle CO emission of researched passenger cars obeys two parameter Weibull distribution in which shape parameter m and scale parameter η are 1.3032 and 3.1644 respectively, and the corresponding distributive density function and the distributive function models are established. The certification rate of given type passenger cars’ idle CO emission is 77.27%, and the relative error between the certification rates got by model calculation and by large sample actual measurement is 2.82%. The research shows clearly that the statistical regularity of idle CO emission is accurate, and model calculation results are also reliable. In addition, the qualification rate of idle CO emission is much lower than that of HC emission, so it is suggested that the main direction of reducing vehicle emission in big and middle cities should be concentrated on cutting down CO emission of passenger cars.

关键词： vehicle engineering in-use passenger car CO emission large sample measurement statistical analysis modeling

作者: XU An QIAO Xiangming

作者单位: Automotive Department,Shandong Jiaotong University,Jinan 250023,Shandong,China

会议类型: 国际会议

会议名称: 2009 International Symposium on Environmental Science and Technology(2009环境科学与技术国际会议)

会议地点: 上海

会议语种:英文

页码: 838-840

在线出版日期: 2009-06-02（万方平台首次上网日期，不代表论文的发表时间）