Statistical Modeling of Exhaust Emissions from Gasoline Passenger Cars

Q4 Engineering
L. Hao, Chunxiao Hao, Liang Ji, Hang Yin, Weiqiang Zhang, Xiaohu Wang, Liu Jin
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引用次数: 1

Abstract

In this study, an instantaneous vehicle emission model was developed and validated. A group of emission regression functions with vehicle speed and VSP as variables was established using the multiple linear regression method and embedded in the instantaneous emission model to predict vehicle emissions. The inputs of the instantaneous vehicle emission model consist of the driving cycle, vehicle parameters and accessories use, all of which are used to calculate the instantaneous vehicle specific power (VSP). The simulated results of the emission model are second-by-second emission rates, emission factors and fuel consumption over the target driving cycle. The predicted emissions as well as fuel consumption of four passenger cars were very close to the tested emission data, and the prediction errors of emission factors and fuel consumptions were acceptable.
汽油乘用车尾气排放的统计建模
在本研究中,开发并验证了瞬时车辆排放模型。采用多元线性回归方法建立了一组以车速和VSP为变量的排放回归函数,并将其嵌入瞬时排放模型中,用于预测车辆排放。瞬时车辆排放模型的输入包括驾驶周期、车辆参数和使用的附件,所有这些都用于计算瞬时车辆比功率(VSP)。排放模型的模拟结果是目标驾驶循环中的逐秒排放率、排放系数和油耗。四辆乘用车的预测排放量和油耗与测试排放数据非常接近,排放因子和油耗的预测误差可以接受。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
1.10
自引率
0.00%
发文量
2437
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