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Dynamic Engine Control for HCCI Combustion

Authors: John Lahti; John Moskwa;

Dynamic Engine Control for HCCI Combustion

Abstract

<div class="section abstract"><div class="htmlview paragraph">One of the factors preventing widespread use of Homogeneous Charge Compression Ignition or HCCI is the challenge of controlling the process under transient conditions. Current engine control technology does not have the ability to accurately control the individual cylinder states needed for consistent HCCI combustion. The material presented here is a new approach to engine control using a physics-based individual cylinder real time model to calculate the engine states and then controlling the engine with this state information. The model parameters and engine state information calculated within the engine controller can be used to calculate the required actuator positions so that the desired mass of air, fuel, and residual exhaust gas are achieved for each cylinder event. This approach offers a solution to the transient control problem that works with existing sensors and actuators.</div><div class="htmlview paragraph">The initial goal of this project was to develop a physics-based approach to controlling engines with a cam-less or fully flexible valvetrain system. The model and control strategies that were developed can be applied to many internal combustion engine applications. The HCCI application in particular benefits the most from this technology because of the improved control of cylinder air mass and mixture composition. The real time one-dimensional flow model and the individual cylinder model developed during this project are explained. A single cylinder spark ignition research engine with cam-phasing and interchangeable camshafts was used for evaluating model parameter estimation and engine control performance. Test data is shown comparing estimated and measured pressures in the intake manifold and cylinder. The applicability of this control strategy to HCCI is discussed.</div></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!
3
Average
Average
Average
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