• 대한기계학회논문집B
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• 제41권6호
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• pp.397-407
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• 2017

본 논문에서는 연비손실 없이 높은 $NO_X$ 저감성능을 보이는 승용 디젤 엔진의 SCR 시스템을 위한 요소수의 분사전략을 제시하였다. 배출되는 $NO_X$량 대비 요소수가 화학량론적 1:1인 피드포워드 분사 전략과 함께 모델기반의 촉매 내 $NH_3$ 흡장률 추정 기법을 통하여 피드백 분사 제어전략을 함께 사용함으로써 과도상태에서 $NO_X$ 저감성능과 $NH_3$ 슬립 성능을 모두 만족시키고자 하였다. 제안된 분사전략을 적용하여 디젤산화촉매기와, 미립자필터가 장착된 2.2L 디젤 엔진을 갖춘 실제 차량에서의 실험을 통하여 제어기의 높은 $NO_X$ 저감률과 낮은 $NH_3$ 슬립 성능을 검증하였다.

• 한국자동차공학회논문집
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• 제24권3호
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• pp.345-351
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• 2016

This study was carried out to determine an optimal lean $NO_x$ trap (LNT) regeneration condition based on a $NO_x$ storage fraction. The LNT regeneration was performed by an in-cylinder post fuel injection method. A $NO_x$ storage fraction is defined by the ratio of current cumulated $NO_x$ amount in the LNT to the $NO_x$ storage capacity: 0 means empty and 1 fully loaded. In this study five engine operating conditions were chosen to represent the New European Driving Cycle. With various $NO_x$ storage fractions each engine operating condition, the LNT regeneration was executed and then $NO_x$ conversion efficiency, additional fuel consumption, CO and THC slip, peak catalyst temperature were measured. The results showed that there exist an optimal condition to regenerate the LNT, eg. 1500 rpm 6 bar BMEP with below 0.7 $NO_x$ storage fraction in this experimental constraint.

• 한국자동차공학회논문집
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• 제22권2호
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• pp.60-66
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• 2014

A control oriented model of the Lean $NO_x$ trap (LNT) was developed to determine the timing of $NO_x$ regeneration. The LNT model consists of $NO_x$ storage and reduction model. Once $NO_x$ is stored ($NO_x$ storage model), at the right timing $NO_x$ should be released and then reduced ($NO_x$ reduction model) with reductants on the catalyst active sites, called regeneration. The $NO_x$ storage model simulates the degree of stored $NO_x$ in the LNT. It is structured by an instantaneous $NO_x$ storage efficiency and the $NO_x$ storage capacity model. The $NO_x$ storge capacity model was modeled to have a Gaussian distribution with a function of exhaust gas temperature. $NO_x$ release and reduction reactions for the $NO_x$ reduction model were modeled as Arrhenius equations. The parameter identification was optimally performed by the data of the bench flow reactor test results at space velocity 50,000/hr, 80,000/hr, and temperature of $250-500^{\circ}C$. The LNT model state, storage fraction indicates the degree of stored $NO_x$ in the LNT and thus, the timing of the regeneration can be determined based on it. For practical purpose, this model will be verified more completely by engine test data which simulate the NEDC transient mode.