An Analytic Model for Cylinder Pressure in a Four Stroke SI Engine

Eriksson, Lars; Andersson, Ingemar

doi:10.4271/2002-01-0371

Cited by 68 publications

(61 citation statements)

References 7 publications

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“…Good examples for estimating NO x by using heat release are [16,17,18,19]. In the case of SI engines, [20,21] use ionisation current on spark for approaching pressure, but this is not available in diesel engines. The accuracy of the prediction anyhow is not as satisfactory as expected, and the accuracy is still an issue.…”

Section: Review Of the Background For Modelling No X In Diesel Enginesmentioning

confidence: 99%

ECU-oriented models for NOx prediction. Part 1: a mean value engine model for NOx prediction

Guardiola

Plá

Blanco-Rodriguez

et al. 2014

Proceedings of the Institution of Mechanical Engineers, Part D:

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The implantation of NO x sensors in diesel engines is necessary in order to track emissions at the engine exhaust for diagnosing and control of the after-treatment devices. However, the use of models is still necessary as the output from these sensors is delayed and filtered. The present paper deals with the problem of NO x estimation in two parts covering modelling and data fusion of a sensor signal and the model, respectively. This is the first part where a NO x model is developed based on a nominal set-point relative fitting of the NO x with a series of corrections for accounting with variations on λ −1 , temperatures and other signals. The NO x model combines look-up tables with physical-based equations and is designed for being implemented on commercial ECUs. The relatively low calibration effort and the reported results presented with a turbocharged diesel engine shows the feasibility of the model and the possibilities for on-board implementation. This paper is the first part of a two-parts paper dedicated to the on-board estimation of NO x .

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Section: Review Of the Background For Modelling No X In Diesel Enginesmentioning

confidence: 99%

ECU-oriented models for NOx prediction. Part 1: a mean value engine model for NOx prediction

Guardiola

Plá

Blanco-Rodriguez

et al. 2014

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…First, the parameters of the in-cylinder pressure model, which is given in Eriksson and Andersson (2002), are to be identified using a wide range of engine measurements in different speeds and loads. In a real car operation, the pressure measurements are not available and if the model is intended to be used in detection at real time, an appropriate pressure model is also essential, see Eriksson et al (2013).…”

Section: Misfire Modelingmentioning

confidence: 99%

System Identification of an Engine-load Setup Using Grey-box Model

Nickmehr¹

2014

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With the demand for more comfortable cars and reduced emissions, there is an increasing focus on model-based system engineering. Therefore, developing accurate vehicle models has become significantly important. The powertrain system, which transfers the engine torque to the driving wheels, is one of the most important parts of a vehicle. Having a reliable methodology, for modeling and parameter estimation of a powertrain structure, helps predict different kinds of behaviors such as torsional vibration which is beneficial for a number of applications in automotive industry. Examples of such cases are ride quality evaluation and model-based fault detection.This thesis uses the knowledge from the system identification field, which introduces the methods of building mathematical models for dynamical systems based on experimental data, to model the torsional vibration of an engine-load setup. It is a subsystem of the vehicular powertrain and the main source of vibration is the engine fluctuating torque. The challenges are handling a more complicated model structure with a greater number of unknown parameters as well as showing the importance of data information for acquiring better identification performance. Since the engine-load setup is modeled physically here, its state-space equations are available and a grey-box modeling approach can be applied in which the well-known prediction error method is used to estimate the unknown physical parameters. Moreover, a structural identifiability analysis is performed which shows that all of the model parameters are identifiable assuming informative input.Two main aspects are considered to present an appropriate modeling methodology. The first is simplification of the model structure according to frequency range of interest. This is achieved by performing modal shape analysis to obtain how many degrees-of-freedom are necessary at different frequency ranges. The results show that a 7 degrees-of-freedom model can be simplified to a 2 degrees-offreedom structure and still have the desired performance for a specific application such as misfire detection.The second aspect concerns using an appropriate data set, which has the required information for estimation of the unknown parameters. By analyzing the simulation data from a known system, it is shown that the parameters of the 2 degrees-of-freedom model can not be estimated accurately using measurements from a normal combustion data set. However, all the parameters except damping coefficient converge to their true values by using a data set which has misfire in the input torque from the engine. A high estimation variance plus flat loss function indicate that the damping coefficient has no significant influence on the model output and consequently can not be estimated correctly using the available measurements. Thus, to increase the accuracy of the results during estimation on real data, the damping coefficient(s) is assumed to be known. Both the 2 and 7 degrees-of-freedom models are validated against a fresh data set and ...

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“…Since the air temperature and pressure are above the fuel's ignition point, spontaneous ignition of portions of the alreadymixed fuel and after air a delay period of a few crank angle degrees. The cylinder pressure increases as combustion of the fuel-air mixture occurs [1,8,9,16,17] . The major problem in compression ignition engine combustion chamber design is achieving sufficiently rapid mixing between the injected fuel and the air from intake port in the cylinder to complete combustion in the appropriate crank angle interval close to topcenter [2,4,7,8,11,12,14,15,18,22] .…”

Section: Introductionmentioning

confidence: 99%

Heat Transfer Investigation of Intake Port Engine Based on Steady-State and Transient Simulation

Semin¹,

Ismail²,

Bakar³

et al. 2008

American J. of Applied Sciences

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This research is presents the gas flow heat transfer investigation in the intake port of four stroke direct injection compression ignition engine using GT-Suite software for steady-state and transient simulation. To investigate and simulate the intake port gas flow heat transfer profile of compression ignition engine is using GT-Power engine model were developed in this research. GTPower is sub-system menu from GT-Suite. The engine model is developed from the real compression ignition engine data and input to software library. In this research, the simulation of engine model is running in variations engine speeds. The simulation output data is collected from the GT-Post results plots and casesRLT in post processing. The simulation results of the intake port engine model are shown the characters in intake port heat transfer profile of engine in variations engine speeds. The detail performance intake port gas flow heat transfer is shown that in 3500 rpm engine speed is the best

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An Analytic Model for Cylinder Pressure in a Four Stroke SI Engine

Cited by 68 publications

References 7 publications

ECU-oriented models for NOx prediction. Part 1: a mean value engine model for NOx prediction

ECU-oriented models for NOx prediction. Part 1: a mean value engine model for NOx prediction

System Identification of an Engine-load Setup Using Grey-box Model

Heat Transfer Investigation of Intake Port Engine Based on Steady-State and Transient Simulation

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