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

The CO2 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.

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On-Road Portable Emission Measurement Systems Test Data Analysis and Light-Duty Vehicle In-Use Emissions Development

SAE International Journal of Electrified Vehicles ◽

10.4271/14-09-02-0007 ◽

2020 ◽

Vol 9 (2) ◽

pp. 111-131

Author(s):

SoDuk Lee ◽

◽

Carl R Fulper ◽

Daniel Cullen ◽

Joseph McDonald ◽

...

Keyword(s):

Test Data ◽

Real World ◽

Environmental Protection Agency ◽

Emission Measurement ◽

Mobile Source ◽

Measurement Systems ◽

Light Duty ◽

Light Duty Vehicle ◽

Inventory Development ◽

Light Duty Vehicles

Portable emission measurement systems (PEMS) [1] are used by the US Environmental Protection Agency (EPA) to measure gaseous and particulate matter mass emissions from vehicles in normal, in-use, on-the-road, and “real-world” operations to support many of its programs. These programs include vehicle modeling, emissions compliance, regulatory development, emissions inventory development, and investigations of the effects of real, in-use driving conditions on NOx, CO2, and other regulated pollutants. This article discusses EPA’s analytical methodology for evaluating light-duty vehicle energy and EU Real Driving Emissions (RDE). A simple, data-driven model was developed and validated using measured PEMS emissions test data. The work also included application of the EU RDE procedures and comparison to the PEMS test methodologies and FTP and other chassis dynamometer test data used by EPA for characterizing in-use light- and heavy-duty vehicle emissions. This work was conducted as part of EPA’s participation in the development of UNECE Global Technical Regulations and also supports EPA mobile source emission inventory development. This article discusses the real-world emissions of light-duty vehicles with 12V Start-Stop technology and light-duty vehicles using both gasoline and diesel fuels.

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ANALYSIS OF THE FLOODING SYSTEM WITH APPLICATION OF STATISTICAL DATA PROCESSING METHODS

Oilfield Engineering ◽

10.30713/0207-2351-2020-8(620)-5-9 ◽

2020 ◽

pp. 5-9

Author(s):

A.Yu. Sentsov ◽

◽

I.V. Ryabov ◽

A.A. Ankudinov ◽

Yu.E. Radevich ◽

...

Keyword(s):

Data Processing ◽

Statistical Data ◽

Processing Methods ◽

Statistical Data Processing ◽

Data Processing Methods

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The experimental data processing methods as a consequence of agricultural experiments

British journal of innovation in science and technology ◽

10.22406/bjist-17-2.5-29-39 ◽

2017 ◽

pp. 29-39 ◽

Cited By ~ 1

Author(s):

S. V. Belousov ◽

A. I. Belousova

Keyword(s):

Experimental Data ◽

Data Processing ◽

Processing Methods ◽

Experimental Data Processing ◽

Data Processing Methods

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Use of Mathematical Modeling in Building Ceramics Functional Properties Studies

Materials Science Forum ◽

10.4028/www.scientific.net/msf.870.191 ◽

2016 ◽

Vol 870 ◽

pp. 191-195

Author(s):

N.A. Vil'bitskaya ◽

S.A. Vilbitsky ◽

A.G. Avakyan

Keyword(s):

Mathematical Modeling ◽

Data Processing ◽

Ceramic Material ◽

Functional Properties ◽

Statistical Data ◽

Ceramic Tiles ◽

Processing Methods ◽

Statistical Data Processing ◽

High Calcium ◽

Data Processing Methods

The peculiarities of using mathematical and statistical data processing methods in studying the intensification in the process of sintering a ceramic material with a high content of high-calcium waste, and mineralizing sintering lithium-containing waste were studied. The region of optimal ceramic masses composition, which allows obtaining ceramic tiles with high functional properties, was defined.

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