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차압 모델을 이용한 실차 Clean CPF 차압 예측에 대한 연구
김진수(Jinsoo Kim),박종선(Jongsun Park),배기송(Kisong Bae),김상래(Sangrae Kim),양승욱(Seunguk Yang) 한국자동차공학회 2008 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
To reduce the carbon particle emission from diesel exhaust, CPF is commonly used for light duty application. The accumulated soot mass could be estimated by analyzing the pressure drop through the CPE Therefore, the pressure drop of clean CPF is the principal information which needs to calculate the pressure drop by soot accumulation. In this study, the pressure drop model based on Darcy's law was simplified to calculate the clean CPF pressure drop as 2<SUP>nd</SUP> order equation by exhaust volume flow rate. The model coefficients for each order term were tuned by steady operating condition analysis as al=661 [10³/L], a2=133[10¹²/L]. The reliability of model was tested with vehicle driving conditions to analyze the behavior of model calculation. The mild and rapid acceleration mode, 0 to 120kph, were used to compare the result of pressure drop model with measured pressure drop through CPE The model showed the accurate result compared with measured pressure drop in steady and mild acceleration mode. The uncertainty of exhaust volume flow rate and temperature was reflected in the deterioration of accuracy at rapid acceleration mode.
승용디젤 차량의 DPF Soot량 검출 최적화에 관한 연구
서형만(Hyongman Seo),한석재(Sukjae Han),배기송(Kisong Bae),정철화(Chulhwa Jung),김충공(Chungkong Kim),김원근(Wonkun Kim) 한국자동차공학회 2010 한국자동차공학회 부문종합 학술대회 Vol.2010 No.5
Period of regenerations has great effects on fuel consumption and durability of DPF. Shorter period of regeneration increases fuel consumption and longer period of regeneration causes uncontrolled burning during regeneration phases. Therefore, the proper detection of soot mass in DPF is a very important factor for regeneration strategy. Currently used differential pressure model can not properly detect the soot mass during CRT(Continuous Regeneration Trap) regeneration. It detects soot mass lighter than actual soot mass. Differential pressure model can be optimized by correcting value depending on the driving condition. This paper presents a procedure and calibration method which can enhance an accuracy of soot mass detection in vehicle condition.