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The Development and Implementation of Model-based Control Algorithm of Urea-SCR Dosing System for Improving De-NOx Performance and Reducing NH3-slip

Urea-SCR 분사시스템의 DeNOx 저감 성능 향상과 NH3 슬립저감을 위한 모델 기반 제어알고리즘 개발 및 구현

  • Jeong, Soo-Jin (Green Powertrain System R&D Center, Korea Automotive Technology Institute) ;
  • Kim, Woo-Seung (Department of Mechanical Engineering, Hanyang University) ;
  • Park, Jung-Kwon (Green Powertrain System R&D Center, Korea Automotive Technology Institute) ;
  • Lee, Ho-Kil (Green Powertrain System R&D Center, Korea Automotive Technology Institute) ;
  • Oh, Se-Doo (Green Powertrain System R&D Center, Korea Automotive Technology Institute)
  • 정수진 (자동차부품연구원 그린동력시스템연구센터) ;
  • 김우승 (한양대학교 기계공학과) ;
  • 박정권 (자동차부품연구원 그린동력시스템연구센터) ;
  • 이호길 (자동차부품연구원 그린동력시스템연구센터) ;
  • 오세두 (자동차부품연구원 그린동력시스템연구센터)
  • Received : 2010.03.04
  • Accepted : 2011.07.18
  • Published : 2012.01.01

Abstract

The selective catalytic reduction (SCR) system is a highly-effective aftertreatment device for NOx reduction of diesel engines. Generally, the ammonia ($NH_3$) was generated from reaction mechanism of SCR in the SCR system using the liquid urea as the reluctant. Therefore, the precise urea dosing control is a very important key for NOx and $NH_3$ slip reduction in the SCR system. This paper investigated NOx and $NH_3$ emission characteristics of urea-SCR dosing system based on model-based control algorithm in order to reduce NOx. In the map-based control algorithm, target amount of urea solution was determined by mass flow rate of exhaust gas obtained from engine rpm, torque and $O_2$ for feed-back control NOx concentration should be measured by NOx sensor. Moreover, this algorithm can not estimate $NH_3$ absorbed on the catalyst. Hence, the urea injection can be too rich or too lean. In this study, the model-based control algorithm was developed and evaluated on the numerical model describing physical and chemical phenomena in SCR system. One channel thermo-fluid model coupled with finely tuned chemical reaction model was applied to this control algorithm. The vehicle test was carried out by using map-based and model-based control algorithms in the NEDC mode in order to evaluate the performance of the model based control algorithm.

Keywords

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