Modelling of the Intake Manifold Filling Dynamics

Hendricks, Elbert; Chevalier, Alain; Jensen, Michael Rugaard; Sorenson, Spencer C.; Trumpy, David K.; Asik, J.

doi:10.4271/960037

Cited by 188 publications

(135 citation statements)

References 5 publications

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“…Engine Model [21,22,23] is simple but accurate enough to account for the dynamics important for the air-fuel ratio control. It has therefore been selected to represent the engine dynamics so that the whole exhaust emission control system can be simulated.…”

Section: Engine Modeling and Control -A Mean Valuementioning

confidence: 99%

On a Model-Based Control of a Three-Way Catalytic Converter

Balenovic¹,

Backx²,

Hoebink³

2001

SAE Technical Paper Series

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Though very important for the system performance, the dynamic behavior of the catalytic converter has mainly been neglected in the design of exhaust emission control systems. Since the major dynamic effects stem from the oxygen storage capabilities of the catalytic converter, a novel model-based control scheme, with the explicit control of the converter's oxygen storage level is proposed. The controlled variable cannot be measured, so it has to be predicted by an on-line running model (inferential sensor). The model accuracy and adaptability are therefore crucial. A simple algorithm for the model parameter identification is developed. All tests are performed on a previously developed first principle model of the catalytic converter so that the controller effectiveness and performance can clearly be observed.

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Section: Engine Modeling and Control -A Mean Valuementioning

confidence: 99%

On a Model-Based Control of a Three-Way Catalytic Converter

Balenovic¹,

Backx²,

Hoebink³

2001

SAE Technical Paper Series

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“…A detailed description of nonlinear engine models and their background can be studied in [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. With fuel dynamics considered to be ideal, the model becomes a two state nonlinear model consisting of (17) and (18) only.…”

Section: Model Summarymentioning

confidence: 99%

“…In this model throttle position is taken as input and crankshaft speed is considered to be the output. A careful analysis indicates that MVM proposed by different researchers share same physical principles but differ from each other slightly in one way or the other [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16], [26], and [27]. The idea behind the development of model is that the output of model represents the average response of multiple ignition cycles of an SI engine although the model could be used for cycle by cycle analysis of engine behavior.…”

Section: Mean Value Model (Mvm)mentioning

confidence: 99%

Modeling and Simulation of SI Engines for Fault Detection

Rizvi¹,

Raza²,

Bhatti³

et al. 2012

Internal Combustion Engines

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“…Furthermore, engine models using this library are capable of running in real time making it suitable for SIL and HIL testing of control systems. Mass flow rate through the engine cylinders is computed by means of [2]: m is the mass of fluid within the cylinder, V d is the volumetric displacement of each cylinder R is the gas constant T is the fluid temperature (K) p i is the intake manifold pressure (bar) n is the engine speed in rpm.…”

Section: Engine Librarymentioning

confidence: 99%

Investigating the Multibody Dynamics of the Complete Powertrain System

Picarelli

Dempsey

2009

Linköping Electronic Conference Proceedings

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The specifications and integration of two new Modelica libraries is presented: The Powertrain Dynamics (PTDynamics) and the Engines libraries. The libraries enable the simulation and modelling of powertrain systems including their fluid dynamic, pollutant emission, mechanical and thermal performances in one simulation environment (Dymola), utilising the object orientated modelling language Modelica. Two variants of the Engines library are presented: a Mean Value variant (MVEL) and a Crank Angle Resolved variant (CAREL). Both the PTDynamics and Engines libraries make use of a new approach to modelling the mechanics that captures the full MultiBody effects of the Powertrain system without the computational cost of using the standard Modelica MultiBody library.

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Modelling of the Intake Manifold Filling Dynamics

Cited by 188 publications

References 5 publications

On a Model-Based Control of a Three-Way Catalytic Converter

On a Model-Based Control of a Three-Way Catalytic Converter

Modeling and Simulation of SI Engines for Fault Detection

Investigating the Multibody Dynamics of the Complete Powertrain System

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