Abstract Operating gasoline engines at part load in a so-called Gasoline-HCCI (gHCCI) combustion mode has shown promising results in terms of improved efficiency and reduced emissions. So far, research has primarily been focused on experimental investigations on the test bench, whereas fast, predictive burn rate models for use in process calculation have not been available. Such a phenomenological model is henceforth presented. It describes the current burn rate as the sum of a sequential self-ignition process that is modeled using a temperature distribution and an Arrhenius equation on the one hand and a laminar-turbulent flame propagation described by a modified entrainment model on the other hand. The newly developed model correctly predicts burn rates for a wide range of variations of control parameters, including PTDC combustion and operating mode switches, using a single set of tuning parameters, while requiring very low computational times.
Fast predictive burn rate model for gasolineHCCI
2016-01-01
15 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Fast predictive burn rate model for gasoline-HCCI
Kraftfahrwesen | 2016
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