A prediction model, which describes linear relationship between the nitrogen oxides (NOx) emissions and the in-cylinder heat release rate in a direct-injection diesel engine, was developed through numerical simulations. A modified KIVA-3 V code was used to calculate NOx formations and to conduct heat release analyses in a direct-injection diesel engine under different operating conditions. The numerical simulation results indicated that the NOx formation amount was related to both the magnitude and the timing of the peak heat release rate in each engine cycle. Based on the above observations, a control-oriented dynamic NOx model was constructed and then implemented into a feedback emission control system on a small diesel engine. A new parameter—combustion acceleration—was proposed in this research to describe the intensity of the premixed combustion. Experimental work was also conducted to measure the real-time in-cylinder pressure at each crank-angle when the engine was running and the heat release rate was calculated instantaneously to control an exhaust gas recirculation (EGR) valve. The experimental results showed that the proposed NOx prediction model was effective in controlling NOx emissions under high rpm conditions.

References

1.
Andersson, M., Johansson, B., and Hultqvist, A., 2006, “A Predictive Real Time NOx Model for Conventional and Partially Premixed Diesel Combustion,”
SAE
Paper No. 2006-01-3329.10.4271/2006-01-3329
2.
Desantes
,
J. M.
,
Lopez
,
J. J.
,
Garcia
,
J. M.
, and
Hernandez
,
L.
,
2002
, “
Application of Neural Networks for Prediction and Optimization of Exhaust Emissions in a HD Diesel Engine
,”
SAE
Paper No. 2002-01-1144.
10.4271/2002-01-1144
3.
Amsden
,
A. A.
,
O'Rourke
,
P. J.
, and
Butler
,
T. D.
,
1989
, “
KIVA-II: A Computer Program for Chemically Reactive Flows With Sprays
,”
Los Alamos National Laboratory, Los Alamos, NM, Report No. LA-11560-MS
.
4.
Zheng
,
M.
,
Reader
,
G. T.
, and
Hawley
,
J. G.
,
2004
, “
Diesel Engine Exhaust Gas Recirculation—A Review on Advanced and Novel Concepts
,”
Energy Convers. Manage.
,
45
, pp.
883
900
.10.1016/S0196-8904(03)00194-8
5.
Traver
,
M. L.
,
Atkinson
,
R. J.
, and
Atkinson
,
C. M.
,
1999
, “
Neural Network-Based Diesel Engine Emissions Prediction Using In-Cylinder Combustion Pressure
,”
SAE
Paper No. 1999-01-1532.
10.4271/1999-01-1532
6.
Willems
,
F.
,
Doosje
,
E.
,
Engels
,
F.
, and
Seykens
,
X.
,
2010
, “
Cylinder Pressure-Based Control in Heavy-Duty EGR Diesel Engines Using a Virtual Heat Release and Emission Sensor
,”
SAE
Paper No. 2010-01-0564.
10.4271/2010-01-0564
You do not currently have access to this content.