A Comprehensive Study on Different System Level Engine Simulation Models

Wurzenberger, Johann C.; Heinzle, Roman; Deregnaucourt, Maxime-Vianney; Katrašnik, Tomaž

doi:10.4271/2013-01-1116

Cited by 20 publications

(4 citation statements)

References 28 publications

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“…However, engine modeling can be performed using model approaches of different depths, with different levels of physical effects accounting, i.e., the developed CFD models are the best you can wish for, but the price often makes them unsuitable for ordinary and multiple works. So, along with CFD, another approach is traditionally developed, a thermodynamic or phenomenological one, using 0‐dimensional (0D) and 1‐dimensional representations 7, 8. Numerical 0D models suggest a homogeneous mixture of gases in the cylinder as a whole, and they are not able to predict engine emissions (NO x , CH x , and soot particles) 9.…”

Section: Introductionmentioning

confidence: 99%

Combustion Model of a Dual‐Fuel Diesel Engine

Yao

Tyulepberdinova

2021

Chem Eng & Technol

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A mathematical model is presented for the volumetric combustion of a homogeneous fuel mixture in compression‐ignition and forced‐ignition engines. With careful consideration of all combustion parameters, the profile of the burning rate has a two‐peak structure. A simple nonlinear heat conduction problem was solved to illustrate the importance of including the isobaric process and heat conduction as functions of the temperature. The study shows that, when the pre‐exponential parameter was chosen as a calibrated parameter, the ignition delay time significantly depends on the start of combustion and the pressure in the common rail, while the effect of the engine speed seems less noticeable. The results can be extended to quasi‐sized combustion models.

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Section: Introductionmentioning

confidence: 99%

Combustion Model of a Dual‐Fuel Diesel Engine

Yao

Tyulepberdinova

2021

Chem Eng & Technol

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“…The crank angle-resolved model cannot completely guarantee real-time performance. 7 A diesel engine simulation model used for an HIL system should meet the real-time requirement with good prediction performance, including that for the mean effective pressure, exhaust temperature and fuel consumption prediction under steady and transient conditions. MAP-based engine models require a large quantity of test data and are only suitable for specific engines and are therefore rarely used.…”

Section: Introductionmentioning

confidence: 99%

Real-time engine model development based on time complexity analysis

Chen

Zhang

Deng

et al. 2021

International Journal of Engine Research

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Real-time simulation models play an important role in the development of engine control systems. The mean value model (MVM) meets real-time requirements but has limited accuracy. By contrast, a crank-angle resolved model, such as the filling -and-empty model, can be used to simulate engine performance with high accuracy but cannot meet real-time requirements. Time complexity analysis is used to develop a real-time crank-angle resolved model with high accuracy in this study. A method used in computer science, program static analysis, is used to theoretically determine the computational time for a multicylinder engine filling-and-empty (crank-angle resolved) model. Then, a prediction formula for the engine cycle simulation time is obtained and verified by a program run test. The influence of the time step, program structure, algorithm and hardware on the cycle simulation time are analyzed systematically. The multicylinder phase shift method and a fast calculation method for the turbocharger characteristics are used to improve the crank-angle resolved filling-and-empty model to meet real-time requirements. The improved model meets the real-time requirement, and the real-time factor is improved by 3.04 times. A performance simulation for a high-power medium-speed diesel engine shows that the improved model has a max error of 5.76% and a real-time factor of 3.93, which meets the requirement for a hardware-in-the-loop (HIL) simulation during control system development.

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“…Focus on the dual fuel combustion model development presented in this paper was on realtime capability, model accuracy and time for model setup. In order to efficiently comply with the above requirements an innovative computationally optimized filling and emptying approach presented in Wurzenberger et al [5] was used as modeling basis. Further addressed in this paper is the species transport and an appropriate treatment of all mixture properties.…”

Section: Introductionmentioning

confidence: 99%

Hil Compatible Engine Models for Dual Fuel Applications

Krammer¹,

Katrašnik

2015

Anais Do XXIII Simpósio Internacional De Engenharia Automotiva

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More and more, alternative fuels, fuel mixtures and dual-fuel engines are gaining in importance. This means a huge challenge to thermodynamic modeling of combustion and species transport. The computational performance is reached by an optimized filling and emptying approach applying tailored models for in-cylinder combustion and species transport in the gas path. The impact of the thermodynamic characteristics induced by the different fuels is described by an appropriate set of transport equations in combination with specifically prepared property databases. The accuracy of a lumped fuel approach is compared for a six, three and one species transport. The simulations are performed with a 6 cylinder medium speed engine. The real-time factor of this engine is in the range of 0.2 for all species transport approaches, what enables this method to support HiL based function development and calibration.

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A Comprehensive Study on Different System Level Engine Simulation Models

Cited by 20 publications

References 28 publications

Combustion Model of a Dual‐Fuel Diesel Engine

Combustion Model of a Dual‐Fuel Diesel Engine

Real-time engine model development based on time complexity analysis

Hil Compatible Engine Models for Dual Fuel Applications

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