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

임의주행 사이클을 이용한 실제도로 주행 배출가스 특성 모사에 관한 연구

  • 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)
  • 권석주 (자동차부품연구원 배기연비성능연구센터) ;
  • 권상일 (국립환경과학원 교통환경연구소) ;
  • 김형준 (국립환경과학원 교통환경연구소) ;
  • 서영호 (자동차부품연구원 배기연비성능연구센터) ;
  • 박성욱 (한양대학교 기계공학부) ;
  • 전문수 (한국교통대학교 에너지시스템공학과)
  • Received : 2016.02.04
  • Accepted : 2016.05.02
  • Published : 2016.07.01

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

References

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