This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
An Experimental Study on Emissions Optimization Using Micro-Genetic Algorithms in a HSDI Diesel Engine
Technical Paper
2003-01-0347
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
Current automotive diesel engine research is motivated by the need to meet more-and-more strict emission regulations. The major target for future HSDI combustion research and development is to find the most effective ways of reducing the soot particulate and NOx emissions to the levels required by future emission regulations. Recently, a variety of statistical optimization tools have been proposed to optimize engine-operating conditions for emissions reduction. In this study, a micro-genetic algorithm technique, which locates a global optimum via the law of “the survival of the fittest”, was applied to a high-speed, direct-injection, single-cylinder (HSDI) diesel engine. The engine operating condition considered single-injection operation using a common-rail fuel injection system was at 1757 rev/min and 45% load. The engine parameters controlled in the optimization were the injection pressure (ranging from 80 to 110 MPa), the boost pressure (from 138 to 207 kPa), start-of-injection timing (from -10 to 5 degrees ATDC), and cooled Exhaust Gas Recirculation percentage (from 10 to 35%). The optimum results showed significant improvements for the NOx and particulate emissions. The baseline NOx and particulate emissions were 3.75 g/kW-hr and 0.52 g/kW-hr, respectively, and the optimized NOx and particulate emissions were reduced to 0.48 g/kW-hr (87% reduction) and 0.12 g/kW-hr (77% reduction). Moreover, the final optimized results met emissions targets, which were derived from the EPA Tier II 2004 automotive diesel mandates.
Authors
Topic
Citation
Yun, H. and Reitz, R., "An Experimental Study on Emissions Optimization Using Micro-Genetic Algorithms in a HSDI Diesel Engine," SAE Technical Paper 2003-01-0347, 2003, https://doi.org/10.4271/2003-01-0347.Also In
References
- Tanin K.V. Wickman D.D. Montgomery D.T. Das S. Reitz R.D. “The Influence of Boost Pressure on Emissions and Fuel Consumption of a Heavy-Duty Single-Cylinder D.I. Diesel Engine” SAE 1999-01-0840 1999
- Ladommatos N. Balian R. Horrocks R. Cooper L. “The Effect of Exhaust Gas Recirculation on Combustion and NOx Emissions in a High-Speed Direct-Injection Diesel Engine” SAE 960840 1996
- Ladommatos N. Balian R. Horrocks R. Cooper L. “The Effect of Exhaust Gas Recirculation on Soot Formation in a High Speed Direct-Injection Diesel Engine” SAE 960841 1996
- Badami M. Nuccio P. Trucco G. “Influence of Injection Pressure on the Performance of a DI Diesel Engine with a Common Rail Fuel Injection System” SAE 1999-01-0193 1999
- Edwards S.P. Pilley A.D. Michon S. Fournier G. “The Optimization of Common Rail FIE Equipped Engines Through the Use of Statistical Experimental Design, Mathematical Modeling, and Genetic Algorithms” SAE Paper 970346 1997
- Senecal P.K. Reitz R.D. “Simultaneous Reduction of Engine Emissions and Fuel Consumption Using Genetic Algorithms and Multi-Dimensional Spray and Combustion Modeling” SAE 2000-01-1890 2000
- Wickman D.D. Senecal P.K. Reitz R.D. “Diesel Engine Combustion Chamber Design Using Genetic Algorithms and Multi-Dimensional Spray and Combustion Modeling” SAE Paper 2001-01-0547 2001
- Thiel M.P. Klingbeil A.E. Reitz R.D. “Experimental Optimization of a Heavy-Duty Diesel Engine Using Automated Genetic Algorithms” SAE Paper 2002-01-0960 2002
- de Risi A. Donateo T. Laforgia D. “An Application of Multi-Criteria Genetic Algorithms to the Optimization of a Common-Rail Injector” ASME-ICED Spring Technical Conference 2002-ICE-471 2002
- Krishnakumar K. “Micro-Genetic Algorithms for Stationary and Non-Stationary Function Optimization” Intelligent Control and Adaptive Systems 1989
- Carroll D.L. “Genetic Algorithms and Optimizing Chemical Oxygen - Iodine Lasers” Developments in Theoretical and Applied Mechanics 18 411 1996
- Goldberg D.E. “Genetic Algorithms In Search, Optimization and Machine Learning” Addison-Wesley 0-201-15767-5 1989
- Haupt R.L. Haupt S.E. “Practical Genetic Algorithms” John Wiley & Sons 0-471-18873-5 1998
- Affes H. Trigui N. Smith D. Griaznov V. “Shape Optimization of IC Engine Ports and Chambers,” SAE 980127 1998
- Pilley A.D. Beaumont A.J. Robinson D.R. Mowll D. “Design of Experiments for Optimization of Engines to Meet Future Emissions Targets,” 27 th Int. Symposium on Automotive Technology and Automation, ISATA Paper 94ENO14 1994
- Senecal P.K. “Development of a Methodology for Internal Combustion Engine Design Using Multi-Dimensional Modeling With Validation Through Experiments” University of Wisconsin-Madison 2000
- Tennison P.J. “An Experimental Investigation of the Effects of Common Rail Injection Parameters on Emissions and Performance in a High Speed Direct Injection Small Bore Diesel Engine” University of Wisconsin-Madison 1998
- Krieger R.B. Siewert R.M. Pinson J.A. Gallopoulos N.E. Hilden D.L. Monroe D.R. Rask R.B. Solomon A.S.P. Zima P. “Diesel Engines: One Option to Power Future Personal Transportation Vehicles” SAE 972683 1997
- Stodolsky F. Gaines L. Marshall L. An F. Eberhardt J. “Total Fuel Cycle Impacts of Advanced Vehicles” SAE 1999-01-0322 1999
- Montgomery D.T. “An Investigation into Optimization of Heavy-Duty Diesel Operating Parameters when Using Multiple Injections and EGR” University of Wisconsin-Madison 2000
- Kimura S. Aoki O. Ogawa H. Muranaka S. Enomoto Y. “New Combustion Concept for Ultra-Clean and High Efficiency Small DI Diesel Engines” SAE 1999-01-3681 1999
- Kimura S. Aoki O. Kitahara Y. Aiyoshizawa E. “Ultra-Clean Combustion Technology Combining a Low-Temperature and Premixed Combustion Concept for Meeting Future Emission Standards” SAE 2001-01-0200 2001
- Lee T. Reitz R.D. “Response Surface Method optimization of a HSDI Diesel Engine Equipped with a Common Rail Injection System” ASME ICED Fall technical Conference 2001-ICE-401 2001
- Heywood J.B. “Internal Combustion Engine Fundamentals” McGraw-Hill 0-07-028637-X
- Senecal P.K. “Development of a Methodology for Internal Combustion Engine Design Using Multi-Dimensional Modeling With Validation Through Experiments” University of Wisconsin-Madison 2000
- Seireg A. “Mechanical Systems Design: Creative Synthesis and Optimization, Vil. II” University of Wisconsin-Madison 1970