Modelling Turbocharged Spark-Ignition Engines: Towards Predictive Real Time Simulators

Malbec, L-M.; Berr, F. Le; Richard, Stéphane; Font, Grégory; Albrecht, Andreas

doi:10.4271/2009-01-0675

Cited by 13 publications

(9 citation statements)

References 4 publications

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“…In order to avoid simulating the full engine set-up using LES, the methodology developed in [35] was adopted. First, a sketch of the full engine set-up is built and simulated using the IFP-Engine system simulation (or 1D CFD) library [37,38] within LMS-Imagine.Lab solver. From this system simulation, crank-angle resolved pressure and temperature evolutions at the locations corresponding to the boundaries of the 3D computational domain are extracted, and prescribed as boundary conditions for the LES.…”

Section: Computational Domain and Boundary Conditionsmentioning

confidence: 99%

Using large-eddy simulation and multivariate analysis to understand the sources of combustion cyclic variability in a spark-ignition engine

Truffin

Angelberger

Richard

et al. 2015

Combustion and Flame

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Using large-eddy simulation and multivariate analysis to understand the sources of combustion cyclic variability in a spark-ignition engine. Combustion and Flame, Elsevier, 2015, 162, pp.Abstract The origins of cyclic combustion variability (CCV) in spark-ignition engines are investigated using Large-Eddy Simulation (LES) of a stable (low CCV) and two unstable (high CCV) operating points of a specifically dedicated experimental test-rig set up around a four valve pentroof single cylindre spark-ignition engine fueled with a premixture of gaseous propane and air. The unstable points are obtained from the reference by reducing significantly the equivalence ratio and by an important dilution by nitrogen respectively. A LES methodology is proposed and shown to be able to reproduce the experimental findings concerning phase-averaged mean and statistical variations around it of a number of key engine combustion parameters. The CCV and factors causing it are first illustrated by comparing typical slow and fast burning cycles in combination with simple correlation plots of major engine parameters, this allows qualitatively showing how local and global sources concur to generate CCV. In a second step, single parameter and multivariate regressions build from the LES results allow quantifying the relative importance of different local and global CCV sources. Finally, the comparison of the obtained findings as to the relative importance of major parameters on CCV are compared with qualitative summary from an extensive experimental survey by Ozdor et al. The presented LES results overall confirm major findings from the survey, but also indicate that detailed causes of CCV depend on the type of engine and its operation.

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Section: Computational Domain and Boundary Conditionsmentioning

confidence: 99%

Using large-eddy simulation and multivariate analysis to understand the sources of combustion cyclic variability in a spark-ignition engine

Truffin

Angelberger

Richard

et al. 2015

Combustion and Flame

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“…The main factor in determining the duration of gas supply to the engine cylinder is the valves timing [2]. To ensure the minimum consumption of gas fuel and to achieve the minimum emissions of unburned hydrocarbons with exhaust gases, it is necessary to use a distributed gas supply [3] and meet the following conditions:…”

Section: Fig 2 Torque and Cyclic Gas Supply In The Wot Modementioning

confidence: 99%

Selection of Gas Injector Units for Converting Diesel Engines to Gas

Kozlov*,

Kolesnikov,

Mironov

et al. 2019

IJITEE

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Given the rising cost of crude oil and fuels based on it, as well as acute environmental problems, alternative energy sources are becoming increasingly important. Natural gas is the most affordable alternative fuel for Russia. A study was carried out at FSUE NAMI on the conversion of the L6 engine from diesel to natural gas. The study included testing of gas fuel equipment both to determine its performance and to test its stability at low temperatures. The greatest interest was the selection of gas injectors for distributed gas supply to ensure the required cycle flow rate. Motorless tests of electronic gas injectors BOSCH, IMPCO, WOODWARD, as well as gas injectors produced by Concern KEMZ JSC were carried out. Based on the results obtained, the choice of gas injectors for further use in the gas engine was justified.

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“…The engine model based on AMESim platform is depicted in Fig.2, which mainly includes compressor, throttle, intercooler, intake and exhaust manifold, injection system, cylinder and 5th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2015) crankshaft [4,5].…”

Section: Setup and Validation Of The Offline Simulation Modelmentioning

confidence: 99%

Research on modeling of direct-injection gasoline engine turbocharging process based on AMESim software

Liu¹,

Zhang²

2015

Proceedings of the 5th International Conference on Advanced Design and Manufacturing Engineering

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Keywords: V workflow,AMESim software,the offline model of the engine, the real-time model of the engine, the hardware-in-the-loop(HIL) Abstract. In order to get the engine simulation model used for the development of control strategy, the offline model and real-time model of self-developed gasoline engine by FAW of direct-injection turbocharging were built based on AMESim software. The results of simulation were compared with that of actual engine test. At steady state condition of 3000r/min and full load, the error of air mass flow was 6.82%, the error of intake pressure was 3.6%, the error of BMEP was 0.097% and the error of fuel injection quantity was 0.3%. At transient state condition, the operating condition was reflected better by the simulation model of the engine and the transient simulation can be meet. The real-time model was simplified from offline simulation model which was successfully downloaded into the dSPACE simulator and the real-time verification on the model was finished. The Developing time of the control strategy was much shorter by simulation and the developing efficiency of electronic control systems was improved.

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Modelling Turbocharged Spark-Ignition Engines: Towards Predictive Real Time Simulators

Cited by 13 publications

References 4 publications

Using large-eddy simulation and multivariate analysis to understand the sources of combustion cyclic variability in a spark-ignition engine

Using large-eddy simulation and multivariate analysis to understand the sources of combustion cyclic variability in a spark-ignition engine

Selection of Gas Injector Units for Converting Diesel Engines to Gas

Research on modeling of direct-injection gasoline engine turbocharging process based on AMESim software

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