A Diesel Engine Model for Dynamic Drive Cycle Simulations

Grahn, Markus; Olsson, Jan-Ola; McKelvey, Tomas

doi:10.3182/20110828-6-it-1002.03541

Cited by 10 publications

(6 citation statements)

References 11 publications

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“…The combustion duration was empirically fitted with parameters that were acquired from the ECU, including charge density and O 2 concentration at SOI timing, main and post fuel quantity, and injection duration and swirl ratio, as described in equation (14). In equation 14, A is constant, and the density and O 2 concentration are the same parameters as those used in equation (6); high values of these parameters could shorten the combustion duration by accelerating the combustion reaction, as similar to that explained in the ID model description section.…”

Section: ð13þmentioning

confidence: 99%

“…Therefore, there have been numerous studies to estimate the in-cylinder pressure or HRR without additional pressure sensors. 12–24…”

Section: Introductionmentioning

confidence: 99%

“…[12][13][14][15][16][17][18][19][20][21][22][23][24] One method commonly used to estimate in-cylinder pressure or HRR is the accumulated fuel mass approach, which estimates the heat energy released in the cylinder from the fuel injection rate. [12][13][14] A strong point of this approach is that the combustion rate is instantaneously derived from fuel injection rate. Finesso et al 12 developed a control-oriented model based on the HRR and MFB50 (mass fraction burned: timing when 50% of the fuel is burned) predictions using the accumulated fuel mass approach in diesel engines.…”

Section: Introductionmentioning

confidence: 99%

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Semi-empirical estimation model of in-cylinder pressure for compression ignition engines

Lee

Min

2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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There have been significant efforts in recent years to comply with automotive emission regulations. To resolve the issue, researchers have strived to reduce the emissions through combustion control. The heat release rate, or in-cylinder pressure information, is necessary to model engine-out emissions, and can also be used to optimize efficiency and emissions by controlling combustion and estimating torque for torque-based engine dynamic control. Piezoelectric pressure sensors are widely used. However, because of cost and durability issues, there have been studies which estimate the in-cylinder pressure using data available only from the engine control unit to reduce engine costs. Therefore, in this study, in-cylinder pressure was predicted, without additional pressure sensors, in light-duty diesel engines. A variable polytropic exponent model was first adopted during the compression stroke, assuming a polytropic process. A Wiebe function was then applied for describing cumulative heat release rate during the combustion phase. Using the in-cylinder pressure model, it was possible to calculate combustion-related parameters which are frequently used such as ignition delay, combustion duration, peaked pressure, and MFB50 (mass fraction burned: timing when 50% of the fuel is burned) without pressure sensors. Notwithstanding the simplification of the model which is targeting real-time applications, the model can predict the in-cylinder pressure at steady-state conditions. The pressure at the end of compression stroke, at start of main combustion timing, and when it has a peaked value by the main combustion were estimated with accuracy of R2 0.996, 0.993, and 0.956, respectively, in test engine. The model was also validated against a second engine. This study can contribute to emission models that need to calculate in-cylinder temperature using pressure data, and other studies to establish engine control strategies, including optimization through combustion control and torque prediction, which can be applied to engine dynamic control.

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Section: ð13þmentioning

confidence: 99%

“…Therefore, there have been numerous studies to estimate the in-cylinder pressure or HRR without additional pressure sensors. 12–24…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Semi-empirical estimation model of in-cylinder pressure for compression ignition engines

Lee

Min

2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…A model-based (also termed as "feed-forward") approach, instead, is a methodology that allows MFB50 to be predicted in advance by means of a model, and which can therefore be used to adapt the main engine parameters in real-time in order to achieve the required MFB50 target. The predictive estimation of MFB50 is generally obtained by using semi-empirical methods [9] or predictive heat release rate (HRR) models [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27]. Several approaches have been presented in the literature to simulate HRR in diesel engines.…”

Section: Introductionmentioning

confidence: 99%

Development and Assessment of Pressure-Based and Model-Based Techniques for the MFB50 Control of a Euro VI 3.0L Diesel Engine

Finesso

Marello

Misul

et al. 2017

SAE Int. J. Engines

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Pressure-based and model-based techniques for the control of MFB50 (crank angle at which 50% of the fuel mass fraction has burned) have been developed, assessed and tested by means of rapid prototyping (RP) on a FPT F1C 3.0L Euro VI diesel engine.The pressure-based technique requires the utilization of a pressure transducer for each cylinder. The transducers are used to perform the instantaneous measurement of the in-cylinder pressure, in order to derive its corresponding burned mass fraction and the actual value of MFB50. It essentially consists of a closed-loop approach, which is based on a cycle-by-cycle and cylinder-to-cylinder correction of the start of injection of the main pulse (SOImain), in order to achieve the desired target of MFB50 for each cylinder.The model-based technique, instead, requires the adoption of a heat release predictive model to simulate MFB50; this model is based on an improved version of the accumulated fuel mass approach, which requires the injection rate as input. This control technique is essentially based on the inversion of the heat release model, in order to identify the optimal value of SOImain that allows the desired MFB50 target to be achieved cycle-by-cycle. The approach is therefore of the open-loop type.Both control techniques were developed and assessed by means of Model-in-the-Loop (MiL) and Hardware-in-the-Loop (HiL) techniques, and then tested on the engine using a rapid prototyping device. The experimental tests were performed on a highly dynamic test bench at the Politecnico di Torino.These techniques have shown a good potential for MFB50 control, compared to the standard methodology implemented in the Engine Control Unit (ECU).

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“…The majority of energy is extracted from burning hydrocarbon fuels [2]. In terms of environmental impact, a major downside to burning hydrocarbon fuels is that the direct byproduct of the chemical reaction is CO 2 [3]. Therefore, unlike NOx and CO emissions which are not present under ideal conditions, the only way to decrease CO 2 emissions is to burn less fuel.…”

Section: Introductionmentioning

confidence: 99%

Power Flow Control In Hybrid Ac/Dc Microgrids

Matthews¹

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A Diesel Engine Model for Dynamic Drive Cycle Simulations

Cited by 10 publications

References 11 publications

Semi-empirical estimation model of in-cylinder pressure for compression ignition engines

Semi-empirical estimation model of in-cylinder pressure for compression ignition engines

Development and Assessment of Pressure-Based and Model-Based Techniques for the MFB50 Control of a Euro VI 3.0L Diesel Engine

Power Flow Control In Hybrid Ac/Dc Microgrids

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