An automated process was developed for the calibration of numerical aftertreatment models. The chemical kinetic mechanism examined in this case was part of a simplified SCR model. The process adopted for calibrating the SCR model was based on a micro-population multi-objective genetic algorithm. The algorithm developed was used to calibrate the SCR model using data derived from another, more detailed model to ensure that the evaluation focused only on the effectiveness of the calibration process and was not affected by issues of experimental inaccuracies or details of the model chemistry involved.
Genetic Algorithm based Automated Calibration Tool for Numerical Selective Catalytic Reduction (SCR) Models
Sae Int. J. Fuels Lubr
Sae International Journal of Fuels and Lubricants
SAE World Congress & Exhibition ; 2009
Sae International Journal of Fuels and Lubricants ; 2 , 1 ; 568-577
2009-04-20
10 pages
Aufsatz (Konferenz)
Englisch
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