Try Mobilus Beta
Search tips
 This content is not included in your SAE MOBILUS subscription, or you are not logged in.

A Novel Approach to Test Cycle-Based Engine Calibration Technique Using Genetic Algorithms to Meet Future Emissions Standards

Journal Article
03-13-04-0036
ISSN: 1946-3936, e-ISSN: 1946-3944
DOI: https://doi.org/10.4271/03-13-04-0036
Published August 11, 2020 by SAE International in United States
A Novel Approach to Test Cycle-Based Engine Calibration Technique Using Genetic Algorithms to Meet Future Emissions Standards
Sector:
Citation: Thiruvengadam, P., Thiruvengadam, A., Ryskamp, R., Besch, M. et al., "A Novel Approach to Test Cycle-Based Engine Calibration Technique Using Genetic Algorithms to Meet Future Emissions Standards," SAE Int. J. Engines 13(4):559-581, 2020, https://doi.org/10.4271/03-13-04-0036.
Language: English

References

  1. Sharp , C. , Webb , C. , Yoon , S. , Carter , M. et al. Achieving Ultra Low NO x Emissions Levels with a 2017 Heavy-Duty On-Highway TC Diesel Engine and an Advanced Technology Emissions System - NO X Management Strategies SAE Int. J. Engines 10 4 1722 1735 2017 https://doi.org/10.4271/2017-01-0956
  2. Thiruvengadam , A. et al. Unregulated, Greenhouse Gas and Ammonia Emissions from Current Technology Heavy-Duty Vehicles Journal of the Air & Waste Management Association 66 11 1045 1060 2016
  3. Ardanese , M. , Ardanese , R. , Besch , M. , Adams , T. et al. Emissions of NOx, NH3 and Fuel Consumption Using High and Low Engine-Out NOx Calibrations to Meet 2010 Heavy Duty Diesel Engine Emission Standards SAE Technical Paper 2009-01-0909 2009 https://doi.org/10.4271/2009-01-0909
  4. Montgomery , D.T. and Reitz , R.D. Optimization of Heavy-Duty Diesel Engine Operating Parameters Using a Response Surface Method SAE Technical Paper 2000-01-1962 2000 https://doi.org/10.4271/2000-01-1962
  5. Thiruvengadam , A. et al. Emission Rates of Regulated Pollutants from Current Technology Heavy-Duty Diesel and Natural Gas Goods Movement Vehicles Environmental Science & Technology 49 8 5236 5244 2015
  6. Quiros , D.C. et al. Real-World Emissions from Modern Heavy-Duty Diesel, Natural Gas, and Hybrid Diesel Trucks Operating along Major California Freight Corridors Emission Control Science and Technology 2 3 156 172 2016
  7. Gen , M. and Cheng , R. Foundations of Genetic Algorithms Genetic Algorithms and Engineering Optimization New York John Wiley & Sons, Inc. 2007 1 52
  8. Goldberg , D.E. Genetic Algorithms in Search, Optimization and Machine Learning Boston Addison Wesley Longman, Inc. 1953
  9. Bridges , C.L. and Goldberg , D.E. An Analysis of Reproduction and Crossover in a Binary-Coded Genetic Algorithm 2nd International Conference on Genetic Algorithms and Their Applications 1987
  10. Thiel , M.P. , Klingbeil , A.E. , and Reitz , R.D. Experimental Optimization of a Heavy-Duty Diesel Engine Using Automated Genetic Algorithms SAE Technical Paper 2002-01-0960 2002 https://doi.org/10.4271/2002-01-0960
  11. Donateo , T. , de Risi , A. , and Laforgia , D. Optimization of High Pressure Common Rail Electro-injector Using Genetic Algorithms SAE Technical Paper 2001-01-1980 2001 https://doi.org/10.4271/2001-01-1980
  12. Munnannur , A. , Kong , S.-C. , and Reitz , R.D. Performance Optimization of Diesel Engines with Variable Intake Valve Timing Via Genetic Algorithms SAE Technical Paper 2005-01-0374 2005 https://doi.org/10.4271/2005-01-0374
  13. Hiroyasu , H. , Miao , H. , Hiroyasu , T. , Miki , M. et al. Genetic Algorithms Optimization of Diesel Engine Emissions and Fuel Efficiency with Air Swirl, EGR, Injection Timing and Multiple Injections SAE Technical Paper 2003-01-1853 2003 https://doi.org/10.4271/2003-01-1853
  14. Sakawaki , A. , Kaji , H. , Yamamoto , M. , and Sakoda , S. Real-Time Engine Control Parameters Optimization Method for Small Diesel Engine by Multi Objective Genetic Algorithm SAE Int. J. Engines 2 1 134 144 2009 https://doi.org/10.4271/2009-01-0241
  15. Agency, U.S.E.P. www.epa.gov
  16. Agency, U.S.-E.P. 1977
  17. Agency, E.P. 2001
  18. 2013
  19. Stanton , D.W. Systematic Development of Highly Efficient and Clean Engines to Meet Future Commercial Vehicle Greenhouse Gas Regulations SAE Int. J. Engines 6 3 1395 1480 2013 https://doi.org/10.4271/2013-01-2421
  20. Bishop , G.A. , Schuchmann , B.G. , and Stedman , D.H. Heavy-Duty Truck Emissions in the South Coast Air Basin of California Environmental Science & Technology 47 16 9523 9529 2013
  21. Carder , D. et al. 2014
  22. Couch , P. and Leonard , J. 2011
  23. Greeves , G. , Tullis , S. , and Barker , B. Advanced Two-Actuator EUI and Emission Reduction for Heavy-Duty Diesel Engines SAE Technical Paper 2003-01-0698 2003 https://doi.org/10.4271/2003-01-0698
  24. Chaufour , P. , Millet , G. , Hedna , M. , Neyrat , S. et al. Advanced Modeling of a Heavy-Truck Unit-Injector System and Its Applications in the Engine Design Process SAE Technical Paper 2004-01-0020 2004 https://doi.org/10.4271/2004-01-0020
  25. Padmavathy , P.T. Characterizing the Variability in Particulate Mass Emissions from Current Model Year Diesel and Natural Gas Engines Ann Arbor West Virginia University 2013 85
  26. Varsha , A. et al. Global COR iDOE Methodology: An Efficient Way to Calibrate Medium & Heavy Commercial Vehicle Engine Emission and Fuel Consumption Calibration SAE Technical Paper 2017-26-0032 2017 https://doi.org/10.4271/2017-26-0032
  27. Turkson , R.F. et al. Artificial Neural Network Applications in the Calibration of Spark-Ignition Engines: An Overview Engineering Science and Technology, an International Journal 19 3 1346 1359 2016
  28. Perhinschi , M.G. , Wayne , W. , Clark , N. , and Lyons , D. Neural Network Modeling of Emissions from Medium-Duty Vehicles Operating on Fisher-Tropsch Synthetic Fuel SAE Technical Paper 2007-01-1080 2007 https://doi.org/10.4271/2007-01-1080
  29. Moran , M.J. and Shapiro , H.N. Exergy Analysis Hayton , J. Fundamentals of Engineering Thermodynamics Hoboken, NJ John Wiley & Sons, Inc. 2007
  30. Zelenka , P. , Kriegler , W. , Herzog , P. , and Cartellieri , W. Ways Toward the Clean Heavy-Duty Diesel SAE Technical Paper 900602 1990 https://doi.org/10.4271/900602
  31. Rakopoulos , C.D. et al. Evaluation of the Effect of Engine, Load and Turbocharger Parameters on Transient Emissions of Diesel Engine Energy Conversion and Management 50 9 2381 2393 2009

Cited By