数据处理方法对RDE试验结果的影响研究

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

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

4 引用 (Scopus)

摘要

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.

投稿的翻译标题A Research on the Effects of Different Data Processing Methods on the Results of DRE Test
源语言繁体中文
页(从-至)646-651 and 665
期刊Qiche Gongcheng/Automotive Engineering
40
6
DOI
出版状态已出版 - 25 6月 2018

关键词

  • CO moving averaging window method
  • Power binning method
  • RDE test

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