This content is not included in your SAE MOBILUS subscription, or you are not logged in.
Multi-Objective Optimization of a Kinetics-Based HCCI Model Using Engine Data
ISSN: 0148-7191, e-ISSN: 2688-3627
Published August 30, 2011 by SAE International in United States
Annotation ability available
A multi-objective optimization scheme based on stochastic global search is developed and used to examine the performance of an HCCI model containing a reduced chemical kinetic mechanism, and to study interrelations among different model responses. A stochastic reactor model of an HCCI engine is used in this study, and dedicated HCCI engine experiments are performed to provide reference for the optimization. The results revealed conflicting trends among objectives normally used in mechanism optimization, such as ignition delay and engine cylinder pressure history, indicating that a single best combination of optimization variables for these objectives did not exist. This implies that optimizing chemical mechanisms to maintain universal predictivity across such conflicting responses will only yield a predictivity tradeoff. It also implies that careful selection of optimization objectives increases the likelihood of better predictivity for these objectives. This may have a particular importance in those practical applications where high degree of predictivity for a limited number of responses is needed, but only a reasonable computational expense can be afforded. These insights are utilized here to develop a highly predictive HCCI model of engine cylinder pressure history, and to evaluate the model ability to predict exhaust emissions. The insight provided by multi-objective optimization on the interplay among different model responses could be of great help for guiding mechanism reduction process and for customizing models based on specific needs.
CitationAldawood, A., Mosbach, S., Kraft, M., and Amer, A., "Multi-Objective Optimization of a Kinetics-Based HCCI Model Using Engine Data," SAE Technical Paper 2011-01-1783, 2011, https://doi.org/10.4271/2011-01-1783.
- Elliott, L. Ingham, D.B. Kyne, A.G. Mera, N.S. Pourkashanian, M. Wilson, C.W. Genetic algorithms for optimisation of chemical kinetics reaction mechanisms Progress in Energy and Combustion Science 30 2004 297 328
- Elliott, L. Ingham, D.B. Kyne, A.G. Mera, N.S. Pourkashanian, M. Wilson, C.W. The use of ignition delay time in genetic algorithms optimization of chemical kinetics reaction mechanisms Engineering Applications of Artificial Intelligence 18 2005 825 831
- Elliott, L. Ingham, D.B. Kyne, A.G. Mera, N.S. Reaction mechanism reduction and optimisation for modelling aviation fuel oxidation using standard and hybrid genetic algorithms Computers and Chemical Engineering 30 2006 889 900
- Harris, S.D. Elliott, L. Ingham, D.B. Pourkashanian, M. Wilson, C.W. The optimisation of reaction rate parameters for chemical kinetic modelling of combustion using genetic algorithms Comput. Methods Appl. Mech. Engrg. 190 2000 1065 1090
- Montgomery, C.J. Yang, C. Parkinson, A.R. Selecting the optimum quasi-steady-state species for reduced chemical kinetic mechanisms using a genetic algorithm Combustion and Flame 144 2006 37 52
- Hamosfakidis, V. Reitz, R.D. Optimization of a hydrocarbon fuel ignition model for two single component surrogates of diesel fuel Combustion and Flame 132 2003 433 450
- Elliott, L. Ingham, D.B. Kyne, A.G. Mera, N.S. Pourkashanian, M. Wilson, C.W. Multi-objective genetic algorithms optimization for calculating the reaction rate coefficients for hydrogen combustion Industrial & Engineering Chemical Research 42 6 2003 1215 24
- Heyne, S. Roubaud, A. Ribaucour, M. Vanhove, G. Minetti, R. Favrat, D. Development of a natural gas reaction mechanism for engine simulations based on rapid compression machine experiments using a multi-objective optimisation strategy Fuel 87 2008 3046 3054
- Bhave, A. Kraft, M. Montorsi, L. Mauss, F. Modelling a dual-fuelled multi-cylinder HCCI engine using a PDF based engine cycle simulator SAE Paper No. 2004-01-0561 2004
- Bhave, A. Balthasar, M. Kraft, M. Mauss, F. Analysis of a natural gas fuelled Homogeneous Charge Compression Ignition engine with exhaust gas recirculation using a stochastic reactor model Int. Journal of Engine Research 2004 5 1 93 104
- Bhave, A. Kraft, M. Mauss, F. Oakley, A. Zhao, H. Evaluating the EGR-AFR operating range of a HCCI engine SAE Paper No. 2005-01-0161 2005
- Mosbach, S. Kraft, M. Bhave, A. Mauss, F. Mack, J. Hunter Dibble, Robert W. Simulating a homogenous charge compression ignition engine fuelled with a DEE/EtOH blend SAE Paper No. 2006-01-1362 2006
- Aldawood, A.M. Mosbach, S. Kraft, M. HCCI combustion phasing transient control by hydrogen-rich gas: Investigation using a fast detailed-chemistry full-cycle model SAE paper No. 2009-01-1134 2009
- Cantore, G. Montorsi, L. Mauss, F. Amneus, P. Erlandsson, O. Johansson, B. Morel, T. Analysis of a 6-cylinder turbocharged HCCI engine using a detailed kinetic mechanism ASME Proceedings, 2002-ICE-457 2002
- Fieweger, K. Blumenthal, R. Adommiet, G. Self-ignition of S.I. engine model fuels: A shock tube investigation at high pressure Combustion and Flame 109 1997 599 619