数据处理方法对RDE试验结果的影响研究

Translated title of the contribution: A Research on the Effects of Different Data Processing Methods on the Results of DRE Test

Sikai Zheng, Yunshan Ge*, Weicheng Chen, Xin Wang, Bin Song, Wenlin Yu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

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.

Translated title of the contributionA Research on the Effects of Different Data Processing Methods on the Results of DRE Test
Original languageChinese (Traditional)
Pages (from-to)646-651 and 665
JournalQiche Gongcheng/Automotive Engineering
Volume40
Issue number6
DOIs
Publication statusPublished - 25 Jun 2018

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