Reduced-order modeling for studying and controlling misfire in four-stroke HCCI engines

Mayhew, Christopher G.; Knierim, Karl Lukas; Chaturvedi, N.A.; Park, Sungbae; Ahmed, Jasim; Kojić, Aleksandar

doi:10.1109/cdc.2009.5400597

Cited by 7 publications

(8 citation statements)

References 15 publications

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“…The proposed estimation of unburned fuel, based on the model (1), includes possible heat release during re-compression, the term Q n (k), which is neglected in previous low-order models associated with higher CV in HCCI-SI transients [28]. Simulation models with higher fidelity, including the effect of unburned fuel, are used in [25,26] to study the effect of misfire in HCCI. In contrast, the aim here is to estimate the unburned fuel mass from experimental pressure data.…”

Section: Discussionmentioning

confidence: 99%

“…The objective here is to identify, understand, and quantify the most influential properties for the CV to enable control-oriented modeling. A simulation model for studying misfire in HCCI using chemical kinetics with 31 species and air flow model was developed in [25] and reduced to a eight state model in [26]. Our aim is to find the dominant factors and a minimum set of variables for describing CV.…”

Section: Introductionmentioning

confidence: 99%

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Understanding the Dynamic Evolution of Cyclic Variability at the Operating Limits of HCCI Engines with Negative Valve Overlap

Hellström¹,

Stefanopoulou²,

Vávra³

et al. 2012

SAE Int. J. Engines

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An experimental study is performed for homogeneous charge compression ignition (HCCI) combustion focusing on late phasing conditions with high cyclic variability (CV) approaching misfire. High CV limits the feasible operating range and the objective is to understand and quantify the dominating effects of the CV in order to enable controls for widening the operating range of HCCI. A combustion analysis method is developed for explaining the dynamic coupling in sequences of combustion cycles where important variables are residual gas temperature, combustion efficiency, heat release during re-compression, and unburned fuel mass. The results show that the unburned fuel mass carries over to the re-compression and to the next cycle creating a coupling between cycles, in addition to the well known temperature coupling, that is essential for understanding and predicting the HCCI behavior at lean conditions with high CV.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Understanding the Dynamic Evolution of Cyclic Variability at the Operating Limits of HCCI Engines with Negative Valve Overlap

Hellström¹,

Stefanopoulou²,

Vávra³

et al. 2012

SAE Int. J. Engines

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“…In summary, the developed model compared to these previous low-order models [12]- [17], [34] captures the coupling introduced by the unburned fuel mass that has been identified as an important mechanism, in addition to charge temperature, for explaining the high CV [4]. In comparison with higher fidelity models, such as [26] and [27], the developed second-order model (25) captures the main mechanisms and is more amenable for nonlinear control development. Finally, it can be noted that all the previously mentioned HCCI models are deterministic while the model of the residual gas fraction (24) introduces a stochastic element, which is essential in order to reproduce the dynamic evolution observed in experiments as shown in the remainder of this paper.…”

Section: E Complete Modelmentioning

confidence: 95%

“…Misfire in HCCI is studied in simulation using models, including chemical kinetics and gas flows in [26] and a simplified eight-state model in [27]. The approach followed here includes only the dominating mechanisms of temperature and unburned fuel as identified through the experiments in [4], [6], and [24].…”

mentioning

confidence: 99%

Cyclic Variability and Dynamical Instabilities in Autoignition Engines With High Residuals

Hellström

Stefanopoulou

Jiang

2013

IEEE Trans. Contr. Syst. Technol.

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The dynamical phenomenon of cyclic variability in combustion governed by autoignition in homogeneous charge compression ignition engines with large amounts of residual gases is investigated. A novel model is derived with two states that capture the coupling between engine cycles due to the thermal energy in the recycled residual gases and the recycled chemical energy in the unburned fuel. With the parameters tuned to data from a single cylinder engine at one level of residuals, the model predictions agree well with the experimental observations of decreasing residuals, which are associated with later phasing and increasing cyclic variability approaching misfire. A stability analysis of the model with respect to the amount of recycled residual gases shows how instabilities develop and that the dynamic behavior of the combustion phasing from cycle to cycle is stable for a range of residual gas fractions. The model and analysis offers an explanation for the experimentally observed cycle-tocycle variability, and provides a foundation for further analysis as well as development of controls mitigating the variability.

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“…In [5], the effect of early fuel injection was captured by varying the Arrhenius threshold in the autoignition integral. A more physical strategy [13] considered in this study is to compute the autoignition integral given by Eq. (11) in the recompression region.…”

Section: Combustion Processmentioning

confidence: 99%

On the Influence of Composition on the Thermally-Dominant Recompression HCCI Combustion Dynamics

Jade

̈m

Stefanopoulou

et al. 2011

ASME 2011 Dynamic Systems and Control Conference and Bath/Asme Symposium on Fluid Power and Motion Control, Volume 2

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A zero dimensional, mean-value, control-oriented model for recompression homogeneous charge compression ignition (HCCI) combustion with two discrete states representing temperature and composition dynamics is presented. This model captures steady state magnitudes and trends in combustion phasing, residual gas fraction, and mass flows caused by sweeps in valve timings, fueling rate, and fuel injection timing. It is shown that the coupling of the composition state with the mainly thermally-driven combustion dynamics causes competing slow and fast dynamics that shape the transient response of the phasing. A decoupled version of the model, where composition does not affect combustion phasing, is also developed in an effort to further simplify the model. This version matches the steady state fidelity of the coupled model, but has a qualitatively different dynamical behavior. Both models exhibit complex behaviors such as limit cycles at extremely late phasing. Both realizations are valid contenders as low order steady state representations of HCCI behavior. High-fidelity transient data will be necessary to further clarify the necessity of including composition effects on combustion phasing.

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Reduced-order modeling for studying and controlling misfire in four-stroke HCCI engines

Cited by 7 publications

References 15 publications

Understanding the Dynamic Evolution of Cyclic Variability at the Operating Limits of HCCI Engines with Negative Valve Overlap

Understanding the Dynamic Evolution of Cyclic Variability at the Operating Limits of HCCI Engines with Negative Valve Overlap

Cyclic Variability and Dynamical Instabilities in Autoignition Engines With High Residuals

On the Influence of Composition on the Thermally-Dominant Recompression HCCI Combustion Dynamics

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