Predictive GT-Power Simulation for VNT Matching on a 1.6 L Turbocharged GDI Engine

Robertson, Dennis; Conway, Graham; Chadwell, Chris; McDonald, Joseph; Barba, Daniel; Stuhldreher, Mark; Birckett, Aaron

doi:10.4271/2018-01-0161

Cited by 10 publications

(5 citation statements)

References 10 publications

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“…For the engine used in the present study, we found that a linear relation between flame growth time and level of EGR worked well. This is analogous to the flame growth multiplier (FGM) factor used in the study by Robertson et al [44] where it was also found that, as EGR increases, the time taken from 0% to 2% mass fraction burned increased. A more general study of how to model the impact of EGR on kernel delay would be another interesting direction for future research.…”

Section: Forward Modelmentioning

confidence: 56%

A Comparison of EGR Correction Factor Models Based on SI Engine Data

Smith¹,

Ruprecht²,

Roberts³

et al. 2019

SAE Int. J. Engines

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The article compares the accuracy of different exhaust gas recirculation (EGR) correction factor models under engine conditions. The effect of EGR on the laminar burning velocity of a EURO VI E10 specification gasoline (10% Ethanol content by volume) has been back calculated from engine pressure trace data, using the Leeds University Spark Ignition Engine Data Analysis (LUSIEDA) reverse thermodynamic code. The engine pressure data ranges from 5% to 25% EGR (by mass) with the running conditions, such as spark advance and pressure at intake valve closure, changed to maintain a constant engine load of 0.79 MPa gross mean effective pressure (GMEP). Based on the experimental data, a correlation is suggested on how the laminar burning velocity reduces with increasing EGR mass fraction. This correlation, together with existing models, was then implemented into the quasi-dimensional Leeds University Spark Ignition Engine (LUSIE) predictive engine code and resulting predictions are compared against measurements. It was found that the new correlation is in good agreement with experimental data for a diluent range of 5%-25%, providing the best fit for both engine loads investigated, whereas existing models tend to overpredict the reduction of burning velocity due to EGR.

show abstract

Section: Forward Modelmentioning

confidence: 56%

A Comparison of EGR Correction Factor Models Based on SI Engine Data

Smith¹,

Ruprecht²,

Roberts³

et al. 2019

SAE Int. J. Engines

View full text Add to dashboard Cite

show abstract

“…At present, this method enjoys the widest acceptance in transient situation studies. This method has been implemented in GT-Power and, then, was integrated into various loading scenarios to investigate the engine performance and test the control strategies [65,95,166,[207][208][209][210][211][212]. One-dimensional simulation has also been developed on another platform; Marco et al [115] established the dual-fuel gas engine model for comparing the influence of the turbocharger on engine power management based on the Matlab/Simulink environment.…”

Section: Model Fidelity and Transient Study-oriented Reductionmentioning

confidence: 99%

Transient Performance of Gas-Engine-Based Power System on Ships: An Overview of Modeling, Optimization, and Applications

Wu,

Li,

Chen

et al. 2023

JMSE

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Liquefied natural gas (LNG) is widely regarded as the midterm solution toward zero-carbon transportation at sea. However, further applications of gas engines are challenging due to their weak dynamic load performance. Therefore, the comprehension of and improvements in the dynamic performance of gas-engine-based power systems are necessary and urgent. A detailed review of research on mechanisms, modeling, and optimization is indispensable to summarize current studies and solutions. Developments in engine air-path systems and power system load control have been summarized and compared. Mechanism studies and modeling methods for engine dynamic performance were investigated and concluded considering the trade-off between precision and simulation cost. Beyond existing studies, this review provides insights into the challenges and potential pathways for future applications in decarbonization and energy diversification. For further utilization of clean fuels, like ammonia and hydrogen, the need for advanced air–fuel ratio control becomes apparent. These measures should be grounded in a deep understanding of current gas engines and the combustion characteristics of new fuels. Additionally, the inherent low inertia feature of electric power systems, and consequently the weak dynamic performance when adopting renewable energies, must be considered and studied to ensure system reliability and safety during transient conditions.

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“…Thus, the development of a reliable PC model for SI PFI engines in GT-Suite requires the proper calibration of the four constants Cλ, Ck, CS, and DEM. Further information about the sensitivity of these parameters on the burn rate profile can be found in [14]. To calibrate the four constants, a "Measured+Predicted" (M+P) analysis is required.…”

Section: Cylinder Flow Analysismentioning

confidence: 99%

Numerical Investigation on the Effects of the Setting of the Load Control System of a Formula SAE Single-Cylinder Turbocharged Engine on Fuel Efficiency and Performance

Raspanti

Ciampolini

Bigalli³

et al. 2022

J. Phys.: Conf. Ser.

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The target of motorsport has always been maximising the performance. Increasingly stringent rules on fuel usage, however, have moved the research on engine design and control rules toward efficiency enhancement. Turbocharging is a typical solution to match both targets; however, it suffers from the turbo-lag phenomenon, especially when the maximum power is limited by an air restrictor. In the present paper, an investigation on a combined solution aimed at contemporarily improving transient response and efficiency in FSAE events, both leading to a higher score, is carried out. In detail, the adoption of an anti-lag valve and an efficiency-based control schedule, markedly exploiting the wastegate actuator, is proposed in place of the classic combination blow-off valve and performance-based strategy. The analyses were carried out on the 520 cm3 single-cylinder 4-stroke turbocharged engine of the Firenze Race Team. In order to predict the potential of the proposed load control solution, a predictive combustion engine model (which design process is exhaustively described in the paper), adopting the K-k-ε turbulence model, was developed in the GT-Suite software and calibrated by means of test-bench data and 3-D CFD analyses. A vehicle model, calibrated by means of telemetry data, was finally developed to compare the proposed solution to the baseline load control system in typical race conditions, showing benefits in terms of performance, drivability, and efficiency.

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Predictive GT-Power Simulation for VNT Matching on a 1.6 L Turbocharged GDI Engine

Cited by 10 publications

References 10 publications

A Comparison of EGR Correction Factor Models Based on SI Engine Data

A Comparison of EGR Correction Factor Models Based on SI Engine Data

Transient Performance of Gas-Engine-Based Power System on Ships: An Overview of Modeling, Optimization, and Applications

Numerical Investigation on the Effects of the Setting of the Load Control System of a Formula SAE Single-Cylinder Turbocharged Engine on Fuel Efficiency and Performance

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