Energy based model of a common rail injector

Morselli, Riccardo; Corti, Enrico; Rizzoni, Giorgio

doi:10.1109/cca.2002.1038775

Cited by 15 publications

(13 citation statements)

References 7 publications

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“…24 For direct injection systems, the dynamic effects described below are not present, i.e., the command inputs to the fuel system produce "immediate" corresponding fuel quantity changes in the next combustion process (delays due to the engine's reciprocating behavior will be discussed in the next chapter). The higher injection pressures induce complex dynamics in the fueling system which, in some situations, can have an influence on the thermodynamic processes inside the cylinder (see [117] or [106]). …”

Section: Introductionmentioning

confidence: 99%

Introduction to Modeling and Control of Internal Combustion Engine Systems

2004

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SoftcOVel: reprint of the hardcover 1st edition 2004 The use of general descriptive names, registered names trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. Preface Who should read this text?This text is intended for students interested in the design of classical and novel IC engine control systems. Its focus lies on the control-oriented mathematical description of the physical processes involved and on the model-based control system design and optimization. This text has evolved from a lecture series held during the last several years in the mechanical engineering (ME) department at ETH Zurich. The presumed audience is graduate ME students with a thorough understanding of basic thermodynamic and fluid dynamics processes in internal combustion engines (ICE). Other prerequisites are knowledge of general ME topics (calculus, mechanics, etc.) and a first course in control systems. Students with little preparation in basic ICE modeling and design are referred to [52] Why has this text been written?Internal combustion engines represent one of the most important technological success stories in the last 100 years. These systems have become the most frequently used sources of propulsion energy in passenger cars. One of the main reasons that this has occurred is the very high energy density of liquid hydrocarbon fuels. As long as fossil fuel resources are used to fuel cars, there are no foreseeable alternatives that offer the same benefits in terms of cost, safety, pollutant emission and fuel economy (always in a total cycle, or "wellto-wheel" sense, see e.g., [5] and [55]).Internal combustion engines still have a substantial potential for improvements; Diesel (compression ignition) engines can be made much cleaner and Otto (spark ignition) engines still can be made much more fuel efficient. Each goal can be achieved only with the help of control systems. Moreover, with the systems becoming increasingly complex, systematic and efficient system VI Preface design procedures have become technological and commercial necessities. This text addresses these issues by offering an introduction to model-based control system design for ICE. What can be learned from this text?The primary emphasis is put on the ICE (torque production, pollutant formation, etc.) and its auxiliary devices (air-charge control, mixture formation, pollutant abatement systems, etc.). Mathematical models for some of these processes will be developed below. Using these models, selected feedforward and feedback control problems will then be discussed.A model-based approach is chosen because, even though more cumbersome in the beginning, it after proves to be the most cost-effective in the long run. Especially the control system development and calibration processes benefit greatly from mathematical models at early project stages.The appendix contains a brief summary of the most important control...

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Section: Introductionmentioning

confidence: 99%

Introduction to Modeling and Control of Internal Combustion Engine Systems

2004

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“…Namely, only the more significant characteristics can be taken into account leaving most secondary effects un-described mathematically. In this way, without losing essential validity, the injection system can be represented by ordinary differential equations (ODE) (Aespy, Engja, & Skarboe, 1996;Desantes, Arregle, & Rodriguez, 1999;Fuseya, Nishimura, Sato, & Tanaka, 1999;Gauthier, Sename, Dugard, & Meissonnier, 2005;Morselli, Corti, & Rizzoni, 2002), by transfer function (Kuraoka, Ohka, & Ohba, 1989), or state-space description (Lino, Maione, & Rizzo, 2007;Maione et al, 2004). Since the simplicity is a focal point, this paper is specifically aimed at defining a simple enough control-oriented model, which at the same time ensures reliable data used to design a predictive control law.…”

Section: Introductionmentioning

confidence: 98%

Modelling and predictive control of a new injection system for compressed natural gas engines

Lino

Amorese²

2008

Control Engineering Practice

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“…- systems and components can be found: common rail system in [6], clutches and gearboxes in [7]. In this work, the POG technique is used for modelling an internal combustion engine [8] using the electric analogy, in order to obtain a mathematical approach useful for control purposes.…”

Section: Introductionmentioning

confidence: 99%

The POG technique for modelling engine dynamics based on electrical analogy

Grossi

Palladino

Zanasi

et al. 2009

2009 American Control Conference

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In this paper the Power-Oriented Graphs (POG) technique is used for modelling an internal combustion engine. The POG technique is focused on a new modular, physically based and lumped parameter approach, leading to a complete and coherent engine model structure. The aim of the authors, starting from an analogy with electrical systems, is to simplify the approach eliminating the space dynamics (multi-zone combustion and wave effects), while preserving the time dynamics. In this way, it is possible to obtain an engine description similar to an electrical circuit, with all the useful consequences in term of existence and numerical availability of the solution. The advantages are in the specific correspondence that is found between the engine components and variables (as throttle valve, cylinder, inertial flows) with electrical counterparts (current, voltage, resistance). The main benefit achievable with this methodology is the simplicity to compose the whole engine model and customize it including the differential equations of the engine in state space form, using the POG technique. The POG technique is a graphical modelling technique which uses only two basic blocks (the "elaboration" and "connection" blocks) for modelling physical systems. The state space mathematical model of a system can be "directly" obtained from the corresponding POG representation. The POG model of the considered combustion engine shows its internal structure from a "power" point of view. GLOSSARYp gas pressure [N/m 2 ] T gas temperature [K] T sl temperature of lateral surface of cylinder [K] T sb temperature of basic surface of cylinder [K] m air mass flow rate [kg/s] Q ext heat flow rate [kJ/s] V volume [m 3 ] θ spark advance [deg] c x specific heat capacities (x = p or v)[J/(kgK)] γ ratio of specific heats , c p /c v [−] h i enthalpy [kJ/kg] m f uel fuel mass [kg] η cb combustion efficiency [−] λ air/fuel ratio [−] S heat release [W/kg] m c choked air mass flow rate [kg/s] m nc not choked air mass flow rate [kg/s] C D discharge coefficient [−] A T effective flow area [m 2 ]

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Energy based model of a common rail injector

Cited by 15 publications

References 7 publications

Introduction to Modeling and Control of Internal Combustion Engine Systems

Introduction to Modeling and Control of Internal Combustion Engine Systems

Modelling and predictive control of a new injection system for compressed natural gas engines

The POG technique for modelling engine dynamics based on electrical analogy

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