Representation Limits of Mean Value Engine Models

Guardiola, Carlos; Gil, Antonio; Plá, Benjamín; Piqueras, Pedro

doi:10.1007/978-1-4471-2221-0_11

Cited by 10 publications

(8 citation statements)

References 22 publications

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“…[90]. Preferred approach for component modeling varies depending on the purpose of the model, and a wide variety of modeling concepts exists from simple data driven models, to complex three-dimensional physical based models [91] . In general, Mean Value Engine Models (MVEM), derived from simple mass and energy balances, are considered sufficient for air-path modeling, while in some cases Crank-Angle Solved (CAS) models are combined with MVEM for the combustion modeling.…”

Section: System Integrationmentioning

confidence: 99%

A Challenging Future for the IC Engine: New Technologies and the Control Role

Payri

Lujan

Guardiola

et al. 2014

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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-New regulations on pollutants and, specially, on CO 2 emissions could restrict the use of the internal combustion engine in automotive applications. This paper presents a review of different technologies under development for meeting such regulations, ranging from new combustion concepts to advanced boosting methods and after-treatment systems. Many of them need an accurate control of the operating conditions and, in many cases, they impose demanding requirements at a system integration level. In this framework, engine control disciplines will be key for the implementation and development of the next generation engines, taking profit of recent advancements in models, methods and sensors. According to authors' opinion, the internal combustion engine will still be the dominant technology in automotive applications for the next decades.Re´sume´-Un challenge pour le futur du moteur a`combustion interne : nouvelles technologies et roˆle du controˆle moteur -Les nouvelles normes sur les e´missions, en particulier le CO 2 , pourraient re´duire l'utilisation du moteur a`combustion interne pour les ve´hicules. Cet article pre´sente une revue de diffe´rentes technologies en cours de de´veloppement afin de respecter ces normes, depuis de nouveaux concepts de combustion jusqu'a`des syste`mes avance´s de suralimentation ou de post-traitement. La plupart de ces technologies demande un controˆle pre´cis des conditions de fonctionnement et impose souvent de fortes contraintes lors de l'inte´gration des syste`mes. Dans ce contexte et en profitant des dernie`res avance´es dans les mode`les, les me´thodes et les capteurs, le controˆle moteur jouera un roˆle clef dans la mise en oeuvre et le de´veloppement de la prochaine ge´ne´ration de moteurs. De l'avis des auteurs, le moteur ac ombustion interne restera la technologie dominante pour les ve´hicules des prochaines de´cennies.

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Section: System Integrationmentioning

confidence: 99%

A Challenging Future for the IC Engine: New Technologies and the Control Role

Payri

Lujan

Guardiola

et al. 2014

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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“…However, to some extent, the engine behaviour may be approximated through a quasi-steady representation [25], [26] where the engine performance, consumption and emissions are mapped as a function of engine speed and load. Such approach, which is usually used for hybrid electric vehicle (HEV) supervisory control, has demonstrated to be a sufficient approximation for fuel consumption and NO x prediction [27], [28]; once again including additional pollutants would be a challenge, because quasi-steady modelling may provide significantly biased predictions [27].…”

Section: Problem Formulation and Proposed Strategymentioning

confidence: 99%

Adaptive calibration for reduced fuel consumption and emissions

Guardiola

Plá

Bares

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part D:

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This paper presents a model based approach to continuously adapt the engine calibration to the traffic and changing pollutant emission limits. The proposed strategy does not need additional experimental tests to that required by the traditional calibration approach. The method relies on information currently available in the ECU to adapt the engine control to the particular driving patterns of a given driver. Additional information about the emissions limits should be provided by an external structure if an adaptation to the pollutant immission is pursued.The proposed strategy has been implemented in a light-duty diesel engine showing a good potential to keep NOx emissions around a defined limit.

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“…MVEMs, 0-D, or lumped parameter models, ignore in-cycle events that occur on a crank angle basis, and instead average these effects over one or several cycles [24]. The MVEMs can be divided into two groups: data driven black-box models and physics based grey-box models [15,33,34]. For more information on modeling of combustion engines the reader is referred to [24,35,39].…”

Section: Modeling Of Diesel-electric Powertrainsmentioning

confidence: 99%

“…The advantages of this approach is it's relative simplicity, both in that no prior knowledge of the system is required and also that the resulting models are often very fast, [21,33]. The resulting states often have no physical meaning, making analysis difficult [15,62].…”

Section: Modeling Of Diesel-electric Powertrainsmentioning

confidence: 99%

Optimal Control of Electrified Powertrains

Sivertsson

2015

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The cover: Front: Formulation and solution of an optimal control problem, coincidentally the benchmark problem in Paper 6. Back: Positive and not so positive exit messages from the solvers used in the dissertation. Typeset with L A T E X 2εPrinted by LiU-Tryck, Linköping, Sweden 2015 i Abstract Vehicle powertrain electrification, i.e. combining the internal combustion engine (ICE) with an electric motor (EM), is a potential way of meeting the increased demands for efficient and low emission transportation, at a price of increased powertrain complexity since more degrees of freedom (DoF) have been introduced. Optimal control is used in a series of studies of how to best exploit the additional DoFs.In a diesel-electric powertrain the absence of a secondary energy storage and mechanical connection between the ICE and the wheels means that all electricity used by the EMs needs to be produced simultaneously by the ICE, whose rotational speed is a DoF. This in combination with the relatively slow dynamics of the turbocharger in the ICE puts high requirements on good transient control.In optimal control studies, accurate models with good extrapolation properties are needed. For this aim two nonlinear physics based models are developed and made available that fulfill these requirements, these are also smooth in the region of interest, to enable gradient based optimization techniques. Using optimal control and one of the developed models, the turbocharger dynamics are shown to have a strong impact on how to control the powertrain and neglecting these can lead to erroneous estimates both in the response of the powertrain as well as how the powertrain should be controlled. Also the objective, whether time or fuel is to be minimized, influences the engine speed-torque path to be used, even though it is shown that the time optimal solution is almost fuel optimal. To increase the freedom of the powertrain control, a small energy storage can be added to assist in the transients. This is shown to be especially useful to decrease the response time of the powertrain, but the manner it is used, depends on the time horizon of the optimal control problem.The resulting optimal control solutions are for certain cases oscillatory when stationary controls would have been expected. This is shown to be neither an artifact of the discretization used nor a result of the modeling assumptions used. Instead it is for the formulated problems actually optimal to use periodic control in certain stationary operating points. Measurements show that the pumping torque is different depending on whether the controls are periodic or constant despite the same average value. Whether this is beneficial or not depends on the operating point and control frequency, but can be predicted using optimal periodic control theory.In hybrid electric vehicles (HEV) the size of the energy storage reduces the impact of poor transient control, since the battery can compensate for the slower dynamics of the ICE. For HEVs the problem instead is how and when to use the b...

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Representation Limits of Mean Value Engine Models

Cited by 10 publications

References 22 publications

A Challenging Future for the IC Engine: New Technologies and the Control Role

A Challenging Future for the IC Engine: New Technologies and the Control Role

Adaptive calibration for reduced fuel consumption and emissions

Optimal Control of Electrified Powertrains

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