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Developing a Generalized Modular Modeling Structure for Dynamic Engine Simulation

Authors: Moataz Ali; John J. Moskwa;

Developing a Generalized Modular Modeling Structure for Dynamic Engine Simulation

Abstract

<div class="htmlview paragraph">Developing dynamic models of internal combustion engines can be very challenging because of the broad range of components that comprise the engine, as well as the range of engineering disciplines that are brought to bear in the design. The task is further complicated because the goals of such a model can vary immensely depending upon its use, and in a high-quality dynamic model these goals will drive the overall structure and fidelity of the model. Note that the quality or usefulness of the dynamic model is independent of its fidelity.</div> <div class="htmlview paragraph">This paper presents a generalized modular engine modeling structure, developed using MathWorks' MATLAB/Simulink software, which can be used in developing dynamic models of internal combustion engines or other dynamic powertrain models. The generalized block is discussed in detail, and specific applications of this block are shown within an overall engine model. A discussion of how this approach addresses the typical causality issues that arise when modeling dynamic systems is included in the paper. Finally, validated simulation examples are presented for a specific engine, and examples of simulation speed are also included. Using the generalized block greatly simplifies the overall structure of the model, and allows users to modify the model with few concerns regarding introducing causal problems as these modifications are made. This flexibility is important so that users can experiment with new concepts or explore the effects of powertrain modifications.</div>

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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