Combustion model reduction for diesel engine control design

Felsch, C.; Hoffmann, Kai; Vanegas, A.; Drews, P.; Barths, H.; Abel, Dirk; Peters, N.

doi:10.1243/14680874jer04509

Cited by 18 publications

(19 citation statements)

References 52 publications

(80 reference statements)

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“…This is a major drawback since emissions are severely affected by the level of stratification and flow induced mixing processes. This deficiency is overcome by fully coupling of the multi-zone model with a CFD model [17][18][19][20][21][22][23][24]. In such a two-way coupled model, a zone in the CFD model corresponds to a zone in the multi-zone model.…”

Section: Introductionmentioning

confidence: 99%

Predicting auto-ignition characteristics of RCCI combustion using a multi-zone model

Egüz

Maes

Leermakers

et al. 2013

Int.J Automot. Technol.

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Premixed charge compression ignition (PCCI) is a clean and efficient alternative for classical diesel combustion. The concept of PCCI combustion is associated with early injection of the fuel whilst applying high exhaust gas recirculation (EGR) levels and operation with a highly lean mixture such that ignition takes place (well) after the injection event. Thus, it is possible to reduce soot and oxides of nitrogen (NO x ) emissions simultaneously. PCCI combustion is analyzed using a multi-zone model. In the multi-zone model, chemical mechanisms which are much more detailed compared to those used in computational fluid dynamics (CFD) approaches can be introduced directly. The CFD model is still used to predict the initial fuel stratification in the cylinder which is important to improve the quality of the model. For the analysis, dedicated experiments with n-heptane are used to evaluate the results of the model. In such a multi-zone model, 10 zones prove to be sufficient to describe the stratification with adequate resolution. It is observed that different fuel distributions have a large influence on the emissions when there is no mixing between the zones. To overcome this dependence, a basic inter-zonal diffusive 2 mixing is applied. The level of mixing is estimated with a sensitivity study. When the inter-zonal mixing is included, emission results become much less sensitive to the crank angle (CA) at which the charge stratification is sampled and the simulation is initialized.

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Section: Introductionmentioning

confidence: 99%

Predicting auto-ignition characteristics of RCCI combustion using a multi-zone model

Egüz

Maes

Leermakers

et al. 2013

Int.J Automot. Technol.

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“…Following from there, an interactively coupled CFD-multi-zone approach was presented in Felsch et al [12] that can be used to simulate HCCI combustion. Later, Felsch et al [13] applied this interactively coupled CFD-multi-zone approach for various PCCI operating conditions in a 1.9l FIAT GM Diesel engine. In the same work, the interactively coupled CFD-multi-zone approach was systematically reduced towards a computationally efficient stand-alone multi-zone model.…”

Section: Multi-zone Model Derivation From a Detailed Cfd Modelmentioning

confidence: 99%

“…For detailed information regarding the reduction methodology from the interactively coupled CFD-multi-zone approach towards the stand-alone multi-zone model, the reader is referred to Felsch et al [13].…”

Section: Multi-zone Model Derivation From a Detailed Cfd Modelmentioning

confidence: 99%

“…It is possible to evaluate the choice of the parameter r MB in Equation (6) by means of a preceeding simulation with the interactively coupled CFD-multi-zone approach (Details are given in Felsch et al [13].) Figure 1 displays the average parameter r MB around top dead center firing for a selected operating condition (SOI at −26…”

Section: Mixing Modelmentioning

confidence: 99%

“…However, modeling the CFD information according to the procedure outlined above may reduce the accuracy of the simulation outcome. A detailed discussion of the computational accuracy and efficiency of the standalone multi-zone model can be found in [13].…”

Section: Computational Accuracy and Efficiencymentioning

confidence: 99%

See 2 more Smart Citations

A Dynamic Simulation Strategy for PCCI Combustion Control Design

Peters

Hoffmann

Felsch

et al. 2011

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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Résumé -Méthode de développement de lois de commande pour la combustion PCCI basée sur la simulation système -Cet article présente une méthodologie de développement de lois de commande pour la combustion PCCI. La méthode proposée repose sur l'utilisation d'un simulateur du moteur dont le niveau de représentation est adapté aux besoins de l'application ciblée. Le simulateur proposé repose sur l'association d'un modèle de combustion multidimensionnel (pour la partie haute pression du cycle moteur) et d'un modèle à valeurs moyennes (pour la description des d'échanges gazeux). L'association des caractéristiques de ces modèles permet d'aboutir à un niveau de représen-tation suffisamment précis pour accompagner le développement de lois de commande. De plus, les simplifications réalisées permettent des gains conséquents en termes de temps de simulation. Cet article propose aussi une simplification supplémentaire en introduisant une méthode d'identification d'un modèle de Wiener. Les résultats présentés dans cette publication sont le fruit des travaux du centre de recherche « SFB 686 -Modellbasierte Regelung der homogenisierten Niedertemperatur-Verbrennung » de l'Université RWTH d'Aix-la-Chapelle et de l'Université de Bielefeld en Allemagne. Abstract -A Dynamic Simulation Strategy for PCCI Combustion Control Design -Subject of this work is a dynamic simulation strategy for PCCI combustion that can be used in closed-loop control development. A detailed multi-zone chemistry model for the high-pressure part of the engine cycle is

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A new predictive multi-zone model for HCCI engine combustion

et al. 2016

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This work introduces a new predictive multi-zone model for the description of combustion in Homogeneous Charge Compression Ignition (HCCI) engines. The model exploits the existing OpenSMOKE++ computational suite to handle detailed kinetic mechanisms, providing reliable predictions of the in-cylinder auto-ignition processes. All the elements with a significant impact on the combustion performances and emissions, like turbulence, heat and mass exchanges, crevices, residual burned gases, thermal and feed stratification are taken into account. Compared to other computational approaches, this model improves the description of mixture stratification phenomena by coupling a wall heat transfer model derived from CFD application with a proper turbulence model. Furthermore, the calibration of this multi-zone model requires only three parameters, which can be derived from a non-reactive CFD simulation: these adaptive variables depend only on the engine geometry and remain fixed across a wide range of operating conditions, allowing the prediction of auto-ignition, pressure traces and pollutants. This computational framework enables the use of detail kinetic mechanisms, as well as Rate of Production Analysis (RoPA) and Sensitivity Analysis (SA) to investigate the complex chemistry involved in the auto-ignition and the pollutants formation processes. In the final sections of the paper, these capabilities are demonstrated through the comparison with experimental data

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Combustion model reduction for diesel engine control design

Cited by 18 publications

References 52 publications

Predicting auto-ignition characteristics of RCCI combustion using a multi-zone model

Predicting auto-ignition characteristics of RCCI combustion using a multi-zone model

A Dynamic Simulation Strategy for PCCI Combustion Control Design

A new predictive multi-zone model for HCCI engine combustion

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