Effect of Payload on Fuel Consumption and Emission of Light Duty Freight Truck during Acceleration Driving

소형 화물 차량의 적재량이 가속 주행 시의 연비 및 오염물질 배출에 미치는 영향

  • Lee, Tae-Woo (Transportation Pollution Research Center, National Institute of Environmental Research) ;
  • Keel, Ji-Hoon (Transportation Pollution Research Center, National Institute of Environmental Research) ;
  • Jeon, Sang-Jin (Transportation Pollution Research Center, National Institute of Environmental Research) ;
  • Park, Jun-Hong (Transportation Pollution Research Center, National Institute of Environmental Research) ;
  • Lee, Jong-Tae (Transportation Pollution Research Center, National Institute of Environmental Research) ;
  • Hong, Ji-Hyung (Transportation Pollution Research Center, National Institute of Environmental Research)
  • 이태우 (국립환경과학원 교통환경연구소) ;
  • 길지훈 (국립환경과학원 교통환경연구소) ;
  • 전상진 (국립환경과학원 교통환경연구소) ;
  • 박준홍 (국립환경과학원 교통환경연구소) ;
  • 이종태 (국립환경과학원 교통환경연구소) ;
  • 홍지형 (국립환경과학원 교통환경연구소)
  • Received : 2010.07.05
  • Accepted : 2010.09.03
  • Published : 2011.03.01

Abstract

The effect of payload on fuel consumption and emission of light duty freight truck during acceleration driving has been analyzed. Running tests were carried out with various payload conditions on chassis dynamometer. A typical driving pattern for urban cities was used. Real time emission measurement systems for gaseous and soot emission were utilized to investigate the real time dynamic of fuel use and exhaust emissions. It was observed that fuel use and pollutant emissions were increased as payload was increased. Under the same payload condition, the increased amount of acceleration driving is much higher than that of steady state driving. The results demonstrated the advantages of eco-driving, which is an environmentally friendly driving manner, could be emphasized in heavier payload condition. Inertial tractive power was introduced for considering the parameters affecting emission during acceleration driving, which are speed, acceleration and payload. Fuel use and emission in various driving conditions were expressed as functions of inertial tractive power. The estimated result by these functions well predicted measured result within 10 % deviation.

Keywords

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