Development of a real-time two-stroke marine diesel engine model with in-cylinder pressure prediction capability

Tang, Yuanyuan; Zhang, Jundong; Gan, Huibing; Jia, Bin; Xia, Yu

doi:10.1016/j.apenergy.2017.03.015

Cited by 28 publications

(32 citation statements)

References 44 publications

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“…As was the case with other similar mappingbased approaches developed in the past [10][11][12][13][14][18][19][20][21][22][23], the context of quasi-linear modeling [24] is, in general, followed.…”

Section: Methodology-engine and Vehicle Modelmentioning

confidence: 99%

Analysis of the Effect of Vehicle, Driving and Road Parameters on the Transient Performance and Emissions of a Turbocharged Truck

Giakoumis

Triantafillou

2018

Energies

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Abstract:In this paper, a fundamental analysis of the effects of various influential parameters on the performance and emissions of a turbocharged truck operating under transient conditions is presented. The results derive from a detailed vehicle model that comprises two parts. The first is an engine performance and emissions module that follows a mapping approach, with experimentally derived correction coefficients employed to account for transient discrepancies; this is then coupled to a comprehensive vehicle model that takes into account various vehicle operation attributes such as gearbox, tires, tire slip, etc. Soot, as well as nitrogen monoxide, are the examined engine-out pollutants, together with fuel consumption and carbon dioxide. The parameters examined are vehicular (mass and gearbox), driving (driver 'aggressiveness' and gear-shift profile) and road (type and grade). From the range of values investigated, the most critical parameters for the emission of NO and soot are vehicle mass, driving 'aggressiveness' and the exact gear-change profile. Vehicle mass, driving 'aggressiveness' and road-grade were identified as the most influential parameters for the emission of CO 2 . A notable statistical correlation was established between pollutant emissions (NO, soot) and vehicle mass or road-tire friction, as well as between fueling/CO 2 and vehicle mass, road-tire friction and road grade. It is believed that the results obtained shed light into the effect of critical operating parameters on the engine-out emissions of a truck/bus, underlining at the same time the peculiarities of transient operating conditions.

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Section: Methodology-engine and Vehicle Modelmentioning

confidence: 99%

Analysis of the Effect of Vehicle, Driving and Road Parameters on the Transient Performance and Emissions of a Turbocharged Truck

Giakoumis

Triantafillou

2018

Energies

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“…Consequently, the MVEM is able to run much faster than the 0-D model, which is therefore very suitable for cases that require fast running speed, such as the simulation of engine transients for a long period. On the other hand, despite similar predictive accuracy can be achieved by the two models, the in-cylinder pressure trace cannot be predicted by the MVEM, which is its major limitation [1,5].…”

Section: Introductionmentioning

confidence: 99%

Development of a Marine Two-Stroke Diesel Engine MVEM with In-Cylinder Pressure Trace Predictive Capability and a Novel Compressor Model

Shen

Zhang

Bai

et al. 2020

JMSE

Self Cite

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In this article, to meet the requirements of marine engine room simulator on both the simulation speed and simulation accuracy, a mean value engine model (MVEM) for the 7S80ME-C9.2 marine two-stroke diesel engine was developed and validated in the MATLAB/Simulink environment. In consideration of the significant influence of turbocharger compressor on both the engine steady state performance and transient response, a novel compressor model (mass flow rate and isentropic efficiency model) based on a previous study carried out by the first author was proposed with the aim of achieving satisfactory simulation accuracy within the whole engine operating envelope. The predictive and extrapolative capability of the proposed compressor model was validated by carrying out simulation experiments and analyzing the simulation results under steady state condition and during transient process. To make the traditional MVEM capable of predicting in-cylinder pressure trace, the cylinder pressure analytic model proposed by Eriksson and Andersson for the four-stroke SI (spark ignition) engine was adapted to the 7S80ME-C9.2 marine two-stroke diesel engine based on the characteristic of in-cylinder pressure trace of this type of engine and then coupled to the MVEM developed in this paper. Since there is no need to solve any differential equation as it is done in the 0-D model, the advantage of MVEM in running speed is not impaired. For achieving satisfactory simulation accuracy by using the analytic model, the model parameters were calibrated elaborately by using engine measured data and a 0-D model and the relevant tuning procedure was discussed in detail.

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“…Nevertheless, the zero-dimensional model needs to be called at each time step 21 resulting in long execution time particularly when the engine transient simulation for a long time period 22 is considered. Based on a similar modelling approach, Tang et al [39] improved further the hybrid 23 6 engine model calculation speed by estimating the cylinder exhausting and scavenging processes as 1 linear functions and abandoning engine cylinder cycles at certain intervals. This hybrid model can be as 2 fast as the MVEM for the steady state conditions in that the boundaries of every cylinder cycles remain 3 the same, however the calculation speed is improved at the expense of the engine performance 4 prediction precision during the dynamic process.…”

Section: Introductionmentioning

confidence: 99%

Development of an extended mean value engine model for predicting the marine two-stroke engine operation at varying settings

Theotokatos

Guan

Chen

et al. 2018

Energy

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This study focuses on the development of an extended MVEM capable of predicting the engine performance parameters (thermodynamic, flow and mechanical) of two-stroke marine engines at varying settings of injection timing and turbine area. The extension employed mapping of a number of the engine parameters carried out based on a zero-dimensional model. Both the zero-dimensional and the mean value engine models were developed in MATLAB/Simulink environment following the same modular approach and their accuracy was validated against experimental data from shop trials. Subsequently, the zero-dimensional model was used for engine parametric simulation by changing the start of fuel injection and the turbocharger turbine area. By analyzing the derived results, the relationships between the investigated engine parameters were established and the appropriate corrections were applied in the MVEM. The extended MVEM was benchmarked against the zero-dimensional model and MVEM at steady and transient conditions and the derived results were analysed and discussed revealing the advantages and limitations of the investigated modelling approaches. Based on the obtained results, the proposed extension methodology improves the MVEM prediction capability without considerably increasing the complexity and the execution time and therefore, it can be employed for the engine performance prediction in control system design investigations overcoming limitations of the MVE

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Development of a real-time two-stroke marine diesel engine model with in-cylinder pressure prediction capability

Cited by 28 publications

References 44 publications

Analysis of the Effect of Vehicle, Driving and Road Parameters on the Transient Performance and Emissions of a Turbocharged Truck

Analysis of the Effect of Vehicle, Driving and Road Parameters on the Transient Performance and Emissions of a Turbocharged Truck

Development of a Marine Two-Stroke Diesel Engine MVEM with In-Cylinder Pressure Trace Predictive Capability and a Novel Compressor Model

Development of an extended mean value engine model for predicting the marine two-stroke engine operation at varying settings

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