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Analysis of the influence of RDE test data processing methods on the emission results of China 6 light duty vehicles

机译:RDE试验数据处理方法对中国6轻型车辆排放结果的影响分析

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The CO_(2)moving average window(MAW) method is used to process RDE (real drive emissions) emissions data in China 6 light duty vehicle emissions regulations, while the Euro 6 light duty vehicle emission regulations allow to use both of MAW and power binning(PB) method to deal with RDE emission data. In order to study the difference between the two data processing methods and analyze the differences in the emission results, 10 different types of light duty vehicles are conducted RDE test with PEMS (portable emissions measurement system), and the test data are processed by the two methods separately. The results show that there is a little difference between MAW and PB, while both of them can satisfy the vehicle emission assessment. The PB method calculates the emission factors higher than the MAW method. After removing the cold start and idle condition data, the results of PB is similar to MAW. Besides, reducing the average speed limit of urban working conditions in PB has a greater impact on the urban driving condition emission factor, but less on the whole cycle emission factor.
机译:CO_(2)移动平均窗口(MAW)方法用于处理中国6轻型车辆排放法规中的RDE(实际驱动排放)排放数据,而欧元6张轻型车辆排放规范允许使用蒙草和电力分宁(PB)方法处理RDE排放数据。为了研究两种数据处理方法之间的差异并分析排放结果中的差异,通过PEM(便携式排放测量系统)对10种不同类型的轻型型车辆进行RDE测试,并将测试数据由两者加工方法分别。结果表明,MAW和PB之间存在少量差异,虽然它们两者都可以满足车辆发射评估。 PB方法计算高于MAW方法的排放因子。删除冷启动和空闲条件数据后,PB的结果类似于MAW。此外,降低了Pb城市工作条件的平均速度限制对城市驾驶条件排放因子的影响更大,但整个循环排放因子较少。

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