ROHR Simulation for DI Diesel Engines Based on Sequential Combustion Mechanisms

Pirker, Gerhard; Chmela, Franz; Wimmer, Andreas

doi:10.4271/2006-01-0654

Cited by 40 publications

(20 citation statements)

References 3 publications

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“…The diffusion combustion model from [5] is slightly revised using a linear rather than an exponential dependency on the turbulence term. Pirker et al [7] present a further evolution of the model. Ignition delay is modelled as a combination of air-fuel mixing rate and the chemical reaction rate.…”

Section: Literature Surveymentioning

confidence: 99%

See 1 more Smart Citation

Characterisation and Model Based Optimization of a Complete Diesel Engine/SCR System

Ericson¹,

Westerberg²,

Odenbrand³

et al. 2009

SAE Technical Paper Series

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Section: Literature Surveymentioning

confidence: 99%

“…where K mix,1 and K mix,2 are constants. A similar approach is used by Pirker et al [7] where a constant determines the fraction of the injected fuel amount injected during the ignition delay dedicated to premixed combustion.…”

mentioning

confidence: 99%

Characterisation and Model Based Optimization of a Complete Diesel Engine/SCR System

Ericson¹,

Westerberg²,

Odenbrand³

et al. 2009

SAE Technical Paper Series

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show abstract

“…Two critical parameters in equation 16 are the rate of heat release due to combustion and the heat transfer to the cylinder walls. Several techniques exist for accurately reproducing in-cylinder pressure and RoHR in an efficient way, including neural networks [38][39][40][41]; Wiebe methods (shape functions) [11,32,44,47,48]; however, in this work a mixing controlled combustion model was used [45][46][47].…”

Section: ̇= √ 13mentioning

confidence: 99%

“…Several techniques exist for accurately reproducing the in-cylinder pressure and the RoHR in an efficient way, including neural networks [38][39][40][41] and Wiebe methods (shape functions); 11,32,[42][43][44] however, in this work, a mixing-controlled combustion model was used. [45][46][47] The mixing-controlled model is an extension of the combustion model originally proposed by Chmela and Orthaber. 48 It includes factors that improve the modelling of the ignition delay, the premixed combustion, the wall interaction and the pilot combustion.…”

Section: Cylinder Modelmentioning

confidence: 99%

Characterisation and optimisation of a real-time diesel engine model

Dowell

Akehurst

Burke

2017

Proceedings of the Institution of Mechanical Engineers, Part D:

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Accurate real time engine models are an essential step to allow the development of control algorithms in parallel to the development of engine hardware using hardware in the loop application. A physics-based model of the engine high-pressure air path and combustion chamber is presented. The model has been parameterised using data from a small set or carefully selected operating conditions for a 2.0L Diesel engine. The model has subsequently been validated over the complete engine operating map with and without EGR. A high level of fit was achieved with R 2 value above 0.94 for mean effective pressure and above 0.99 for air flow rate. Model run-time was then reduced for real-time application by using forward differencing; single precision floating point numbers; and by only calculating in-cylinder prediction for a single cylinder. A further 25% improvement in run time was achieved by improving sub-models, including the strategic use of 1D/2D look-up tables with optimised resolution. The model exceeds the performance of similar models in the literature achieving 0.5°CA resolution at 4000rev/min. This simulation step size 2 still yields good accuracy compared to 0.1°CA resolution and has been validated against experimental results from an NEDC drive cycle. The real-time model will allow the development of control strategies before the engine hardware is available, meaning more time can be spent ensuring the engine can meet performance and emissions requirements over it full operating range.

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“…If only the heat release is of interest, single zone zero-dimensional models can be suitable, while more complex approaches are chosen when local phenomena are of interest, for example, for emission formation. 21,28,[34][35][36][37][38][39][40] In order to develop a zero-dimensional model that would capture the dynamics of gasoline combustion in compression ignition mode, experimental tests have been conducted with various fractions of fuel combusting in either kinetically controlled or mixing controlled combustion.…”

Section: Introductionmentioning

confidence: 99%

A control-oriented combustion model framework for compression ignition engines operating on low-reactivity fuel

Pamminger

Hall

Wang

et al. 2020

International Journal of Engine Research

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This work focuses on zero-dimensional modeling of the heat release rate in a compression ignition engine operating on gasoline-like fuels. Due to the properties of gasoline, such as high volatility and longer ignition delay than diesel, the injection strategies can vary significantly from the operation with conventional diesel fuel. Different injection strategies are commonly used to achieve varying degrees of in-cylinder stratification in order to shape the combustion event and maximize efficiency. The proposed zero-dimensional combustion model was developed to account for the different stages in combustion caused by the fuel stratification. As the ignition delay model is an integral part of the entire combustion process and significantly affects the prediction accuracy, special attention has been paid to local phenomena influencing ignition delay. A one-dimensional spray model by Musculus and Kattke was employed in conjunction with a Lagrangian tracking approach in order to estimate the local air–fuel ratio within the spray tip, as a proxy for reactivity. The local air–fuel ratio, in-cylinder temperature and pressure were used in an integral fashion to estimate the ignition delay. Heat release rates were modeled using first-order non-linear differential equations. The proposed combustion model was validated against experimental data of a heavy-duty compression ignition engine with up to three injection events at mostly 1038 r/min and 14 bar brake mean effective pressure. Further validation of the model was carried out at other engine loads and speeds. Model prediction errors in CA50 of less than 1 °CA across all conditions were found. Modeling results of other combustion metrics such as combustion duration and indicated mean effective pressure are also highly satisfactory. In addition, the model has been shown to be capable of estimating the ringing intensity for most conditions.

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ROHR Simulation for DI Diesel Engines Based on Sequential Combustion Mechanisms

Cited by 40 publications

References 3 publications

Characterisation and Model Based Optimization of a Complete Diesel Engine/SCR System

Characterisation and Model Based Optimization of a Complete Diesel Engine/SCR System

Characterisation and optimisation of a real-time diesel engine model

A control-oriented combustion model framework for compression ignition engines operating on low-reactivity fuel

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