Turbocharger Modeling for Automotive Control Applications

Moraal, P.E.; Kolmanovsky, Ilya

doi:10.4271/1999-01-0908

Cited by 231 publications

(169 citation statements)

References 6 publications

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“…All the eigenvalues of both matrices have negative real parts, i.e., for the case without the TMB, These results are not in agreement with the results presented in Reference [20], where it is indicated that relatively long pipes need to be introduced to improve the stability of the model. The differences mainly originate from two facts.…”

Section: A3 Comparison Of Stiffness Ratioscontrasting

confidence: 54%

“…In the publically available literature two approaches to considering the momentum equation coupled to the compressor model [20,21] and to the compressor/turbine model [22] are presented, however in both approaches momentum equation is not primarily applied to improve the stability of the model, although stability implications are addressed in [20]. In [20,21] the momentum equation is considered to evaluate the compressor's mass flow, which is needed as an input for the compressor model that relies on the independent variables of mass flow and the turbocharger's speed, and in [22] the momentum equation is considered to improve the acoustic predictions and the prediction performance under pulsed-flow conditions. In both references the momentum equation was thus applied to the elements where mechanical work is added to, or extracted from, the flow.…”

Section: Introductionmentioning

confidence: 99%

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Transient Momentum Balance—A Method for Improving the Performance of Mean-Value Engine Plant Models

Katrašnik

2013

Energies

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Mean-value engine models (MVEMs) are frequently applied in system-level simulations of vehicle powertrains. In particular, MVEMs are a common choice in engine simulators, where real-time execution is mandatory. In the case of real-time applications with prescribed, fixed sampling times, the use of explicit integration schemes is almost mandatory. Thus the stability of MVEMs is one of the main limitations when it comes to optimizing their performance. It is limited either by the minimum size of the gas volume elements or by the maximum integration time step. An innovative approach that addresses both constraints arises from the fact that the mass flow through the transfer elements of the MVEM is not modelled considering the quasi-steady assumption, but instead the mass-flow is calculated using a single transient momentum balance (TMB) equation. The proposed approach closely resembles phenomena in the physical model, since it considers both the flow-field history and the inertial effects arising from the time variation of the mass flow. It is shown in this paper that a consideration of the TMB equation improves the stability and/or the computational speed of the MVEMs, whereas it also makes it possible to capture physical phenomena in a more physically plausible manner. Keywords

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Section: A3 Comparison Of Stiffness Ratioscontrasting

confidence: 54%

Section: Introductionmentioning

confidence: 99%

Transient Momentum Balance—A Method for Improving the Performance of Mean-Value Engine Plant Models

Katrašnik

2013

Energies

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“…According to Westin [126], Renberg [136], Watson and Janota [134] and Moraal and Kolmanovsky [131], steady flow theory states that if the data in an original turbine map, showing a curve on axes of pressure ratio vs. mass flow rate, is plotted as efficiency vs.…”

Section: Turbinementioning

confidence: 99%

A review on the thermodynamic optimisation and modelling of the solar thermal Brayton cycle

Roux

Bello‐Ochende

Meyer

2013

Renewable and Sustainable Energy Reviews

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Many studies have been published on the performance and optimisation of the Brayton cycle and solar thermal Brayton cycle showing the potential, merits and challenges of this technology. Solar thermal Brayton systems have potential to be used as power plants in many sun-drenched countries. It can be very competitive in terms of efficiency, cost and environmental impact. When designing a system such as a recuperative Brayton cycle there is always a compromise between allowing effective heat transfer and keeping pressure losses in components small. The high temperatures required in especially the receiver of the system presents a challenge in terms of irreversibilities due to heat loss. In this paper, the authors recommend the use of the total entropy generation minimisation method. This method can be applied for the modelling of a system and can serve as validation when compared with first-law modelling. The authors review various modelling perspectives required to develop an objective function for solar thermal power optimisation, including modelling of the sun as an exergy source, the Gouy-Stodola theorem and turbine modelling.With recommendations, the authors of this paper wish to clarify and simplify the optimisation and modelling of the solar thermal Brayton cycle for future work. The work is applicable to solar thermal studies in general but focuses on the small-scale recuperated solar thermal Brayton cycle.2

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“…For example, when the model is used to optimize system performance, then it may not be smooth or it may not be invertible. See (Moraal and Kolmanovsky, 1999) for a motivation and longer discussion of some parameterizations that are available. Here, first a standard model for the pressure ratio will be discussed and then models for the air flow.…”

Section: Compressormentioning

confidence: 99%

Modeling of a turbocharged SI engine

Eriksson

Nielsen

Brugård

et al. 2002

Annual Reviews in Control

118

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Turbo charged SI engines are a major possibility in the current trend of down-sized engines with preserved drivability performance. Considering control and supervision it is favorable to have a mean value model to be used e.g. in observer design. Such models of turbo engines are similar to those of naturally aspirated engines, but there are some special characteristics, e.g. the interconnected gas flows, the intercooler, the difference in relative sizes between the gas volumes (compared to naturally aspirated engines), the turbo, and the waste gate. Here, a model is developed with a strategy to find a model for each engine component (air filter, compressor, after cooler (or intercooler), throttle, engine, turbine, waste gate, and a lumped model for the catalyst and exhaust) as they behave in an engine setting. When investigating agreement with measured data and sensitivity of possible model structures, a number of interesting issues are raised. The experiments and the model validation have been performed on a Saab 2.3 l production engine.

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Turbocharger Modeling for Automotive Control Applications

Cited by 231 publications

References 6 publications

Transient Momentum Balance—A Method for Improving the Performance of Mean-Value Engine Plant Models

Transient Momentum Balance—A Method for Improving the Performance of Mean-Value Engine Plant Models

A review on the thermodynamic optimisation and modelling of the solar thermal Brayton cycle

Modeling of a turbocharged SI engine

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