A Flow and Loading Coefficient-Based Compressor Map Interpolation Technique for Improved Accuracy of Turbocharged Engine Simulations

Gharaibeh, Karim; Costall, Aaron

doi:10.4271/2017-24-0023

Cited by 4 publications

(3 citation statements)

References 12 publications

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“…After calculating the estimated EGR flow, a simplified polynomial model of EGR fraction (X EGR ) is created as shown in equation (13). The benefit of this approach versus an orifice flow model 2 is that pressures upstream and downstream of the EGR valve are not needed.…”

Section: Intake Manifold Submodelmentioning

confidence: 99%

“…7 Others still have attempted to model the flow through these devices using an orifice flow equation 3,4,8,9 or by using dimensionless parameters. [10][11][12][13][14][15] These models have a level of computational intensity appropriate for control work, but they often fail to capture some of the underlying losses and nonlinearities of the true turbocharger processes.…”

Section: Introductionmentioning

confidence: 99%

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On the integration of physics-based and data-driven models for the prediction of gas exchange processes on a modern diesel engine

Gonzalez

Ankobea-Ansah

Peng

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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The need for precise control of complex air handling systems on modern engines has driven research into model-based methods. While model-based control can provide improved performance over prior map-based methods, they require the creation of an accurate model. Physics-based models can be precise, but can also be computationally expensive and require extensive calibration. To address this limitation, this work explores the integration of data-driven models into an overall physics-based framework and applies this approach to the gas exchange processes of a diesel engine with a variable geometry turbocharger and exhaust gas recirculation. One of the most complex parts of this gas exchange loop is the turbocharger. Data-driven methods are used to capture the turbocharger performance and are also applied to the intake manifold, while the simpler features are captured with more traditional physics-based models. This combined modeling approach is able to capture the temperature and pressure dynamics with varying error levels depending on measurement availability and the inter-dependency of the submodels, with the turbocharger neural network model achieving a Normalized Mean Square Error (NMSE) of 5e-5 and the overall engine model achieving a NMSE of 4.5e-3. The work illustrates that the integration of data-driven models can improve overall model accuracy and may be able to reduce the number of sensors needed on the system. The contributions of this work are the development and demonstration of a neural network based turbocharger model and intake air path model, the development of empirical equation-based models for the rest of the engine components along the air path and the demonstration of the integration and interaction of these two types of model to adequately characterize engine operation for control applications.

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Section: Intake Manifold Submodelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

On the integration of physics-based and data-driven models for the prediction of gas exchange processes on a modern diesel engine

Gonzalez

Ankobea-Ansah

Peng

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…Indeed, the convenient behaviour of flow and load coefficients is employed not only for compressor map extrapolation but for interpolation within iso-speed lines as well. 18 However, the definition of equation (4) is unable to capture the shape of the iso-speed lines within the choke region.…”

Section: Literature Backgroundmentioning

confidence: 99%

A zonal approach for estimating pressure ratio at compressor extreme off-design conditions

Galindo

Garcia

García-Cuevas

et al. 2018

International Journal of Engine Research

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Zero-dimensional/one-dimensional computational fluid dynamics codes are used to simulate the performance of complete internal combustion engines. In such codes, the operation of a turbocharger compressor is usually addressed employing its performance map. However, simulation of engine transients may drive the compressor to work at operating conditions outside the region provided by the manufacturer map. Therefore, a method is required to extrapolate the performance map to extended off-design conditions. This work examines several extrapolating methods at the different off-design regions, namely, low-pressure ratio zone, low-speed zone and high-speed zone. The accuracy of the methods is assessed with the aid of compressor extreme off-design measurements. In this way, the best method is selected for each region and the manufacturer map is used in design conditions, resulting in a zonal extrapolating approach aiming to preserve accuracy. The transitions between extrapolated zones are corrected, avoiding discontinuities and instabilities.

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Optimization and Analysis of Clutch Switching Timing for Hybrid Tractors Equipped with Hydraulic Mechanical Combined Transmission

Zhu,

Sheng,

Zhang

et al. 2024

Applied Sciences

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The working environment of tractors is harsh and the working conditions are very complicated. To cope with this complex and changeable working environment, this paper presents a hybrid tractor powertrain loaded with hydraulic mechanical combined transmission (HMCVT). The powertrain can switch modes according to different operating environments. During mode switching, impact loads can cause wear and even damage to the transmission components. Interrupting the power transmission will reduce the tractor’s operational efficiency. In this paper, the orthogonal experimental range analysis method was proposed to optimize the quality of mode switching. Mode switching involves interactions between clutches. Orthogonal table L16 (215) was selected to design the orthogonal table head. SimulationX was used for simulation. Employing MINITAB range analysis yielded the optimal results. The simulations indicated a reduction in the output shaft’s velocity drop amplitude from 17.647% to 6.591%. The dynamic load coefficient decreased from 2.743 to 1.857. The impact strength was reduced from 14.125 to 5.67 m/s3. The switching time was reduced from 2.13 to 1.71 s. We built a model-in-the-loop (MIL) test platform to validate the results. The MIL test results were compared with the simulation results. Our findings indicate a degree of discrepancy between the simulated and the experimental results, yet the overall trends remain largely consistent. The correctness of the optimal scheme obtained from the orthogonal experiment is verified. This study provides a theoretical basis for the optimization of powertrain mode switching in hybrid tractors equipped with HMCVT.

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A Flow and Loading Coefficient-Based Compressor Map Interpolation Technique for Improved Accuracy of Turbocharged Engine Simulations

Cited by 4 publications

References 12 publications

On the integration of physics-based and data-driven models for the prediction of gas exchange processes on a modern diesel engine

On the integration of physics-based and data-driven models for the prediction of gas exchange processes on a modern diesel engine

A zonal approach for estimating pressure ratio at compressor extreme off-design conditions

Optimization and Analysis of Clutch Switching Timing for Hybrid Tractors Equipped with Hydraulic Mechanical Combined Transmission

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