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http://dx.doi.org/10.7467/KSAE.2016.24.4.454

A Study on the Characteristics of Simulated Real Driving Emissions by Using Random Driving Cycle  

Kwon, Seokjoo (Emission & F.E. R&D Center, Korea Automotive Technology Institute)
Kwon, Sangil (Transportation Pollution Research Center, National Institute of Environmental Research)
Kim, Hyung-Jun (Transportation Pollution Research Center, National Institute of Environmental Research)
Seo, Youngho (Emission & F.E. R&D Center, Korea Automotive Technology Institute)
Park, Sungwook (Department of Mechanical Engineering, Hanyang University)
Chon, Mun Soo (Department of Energy System Engineering, Korea National University of Transportation)
Publication Information
Transactions of the Korean Society of Automotive Engineers / v.24, no.4, 2016 , pp. 454-462 More about this Journal
Abstract
This study was conducted in order to estimate the exhaust emissions analysis method of the real driving emission(RDE). The Association for Emissions Control by Catalyst(AECC) has developed a test procedure by using a random cycle method based on the chassis dynamometer. In order to confirm this approach in Korea, Euro 5(DPF), Euro 6(DPF + LNT), and Euro 6(DPF + SCR) were performed on three different vehicles to determine the exhaust gas characteristics of the random cycle, real-road driving test(PEMS), and emission certification driving mode(NEDC). Six different random cycle driving modes were generated by the vehicle specifications(e.g. curb weight, engine power, gear ratio, and maximum acceleration). The NOx emissions were increased in the NEDC, random cycle, and PEMS order in this study regardless of the test vehicles. The random cycle method has the advantage because it utilizes a chassis dynamometer in the laboratories for a repeatable data collection, and it allows any eminent emission improvement checked prior to a real-road driving test with PEMS.
Keywords
Emission regulations; RDE; Random cycle; PEMS; After-treatment system;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
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