摘要
欧盟轻型车排放法规中,对RDE试验提出了功率等级分组法和CO_2移动平均窗口法两种数据处理方法。为探讨两种不同数据处理方法对RDE试验数据分析结果的影响,根据法规要求,使用便携式车载排放测试系统进行了多次实际道路行驶排放测试,分别使用功率等级分组法和CO_2移动平均窗口法进行数据处理,并对计算结果进行对比分析。结果表明:使用功率等级分组法计算得到的各污染物排放因子大于CO_2移动平均窗口法的计算结果。按照CO_2移动平均窗口法的要求剔除冷起动、车辆怠速和发动机熄火数据后,使用功率等级分组法计算得到各污染物排放因子明显下降,与CO_2移动平均窗口法计算结果基本一致。由此得到结论:CO_2移动平均窗口法要求的数据剔除是造成两种数据处理方法得到各污染物排放因子产生差异的主要原因。
Euro-6 emission regulation for light-duty vehicles proposes two data processing methods for RDE test,i. e. power binning method and CO2 moving averaging window method. To explore the effects of two different processing methods on the analysis results of RDE test data,several RDE tests are conducted with portable emission measurement system according to the requirements of regulation,and the data are processed with power binning method and CO2 moving averaging window method respectively,which are then contrastively analyzed. The results show that the emission factors of all pollutants obtained by power binning method are larger than that by moving averaging window method. But when data in cold start,idling and misfire conditions are removed as same as with moving averaging window method,the emission factors obtained by power binning method are obviously lowered and basically the same as that with moving averaging window method. Thus a conclusion is drawn that data removal is the main cause of the difference in pollutant emission factor with two different processing methods.
作者
郑思凯
葛蕴珊
陈伟程
王欣
宋彬
禹文林
Zheng Sikai;Ge Yunshan;Chen Weicheng;Wang Xin;Song Bin;Yu Wenlin(School of Mechanical Engineering,Beijing Institute of Technology,Beijing 100081;Chinese Research Academy of Environmental Science,Belting 100012)
出处
《汽车工程》
EI
CSCD
北大核心
2018年第6期646-651,665,共7页
Automotive Engineering
基金
国家重点研发计划(2016YFC0208005)资助