2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601) 2004
DOI: 10.1109/cdc.2004.1430286
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Modeling of HCCI engine combustion for control analysis

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Cited by 47 publications
(23 citation statements)
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References 12 publications
(18 reference statements)
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“…The heat transfer coefficient has to be modeled, with the model attempting to reproduce the heat release rate obtained from experiments. The effects of different heat transfer coefficient models are studied in this paper, where the models used are the Woschni correlation (Bengtsson, Gafvert, & Strandh, 2004;Woschni, 1967), modified Woschni correlation for HCCI engines (Chang et al, 2004), and Hohenberg correlation (Hohenberg, 1979;Sanli et al, 2008;Zeng & Assanis, 1989).…”
Section: Heat Transfer Modelmentioning
confidence: 99%
“…The heat transfer coefficient has to be modeled, with the model attempting to reproduce the heat release rate obtained from experiments. The effects of different heat transfer coefficient models are studied in this paper, where the models used are the Woschni correlation (Bengtsson, Gafvert, & Strandh, 2004;Woschni, 1967), modified Woschni correlation for HCCI engines (Chang et al, 2004), and Hohenberg correlation (Hohenberg, 1979;Sanli et al, 2008;Zeng & Assanis, 1989).…”
Section: Heat Transfer Modelmentioning
confidence: 99%
“…These models were used to predict combustion phasing [22][23][24][25], load [26], exhaust gas temperature [27], cyclic variability [28] and heat release [29] in HCCI engines. A second model group includes detailed thermo-kinetic models that were used to predict auto-ignition delay [30][31][32][33][34][35], combustion phasing [36,37], HC and CO emissions [38] and heat release [39,40]. The first group requires substantial experimental data, while the second group requires computational resources which are not available for real-time engine control.…”
Section: Introductionmentioning
confidence: 99%
“…Combustion control is a well-recognized and major challenge in HCCI engines [24,31,59]. It is critical to have computationally-efficient predictive HCCI models to control HCCI combustion [51].…”
Section: Introductionmentioning
confidence: 99%
“…An HCCI engine running on ethanol fuel is modeled in [5] using a two-step reaction mechanism. In [6] a model utilizing a shell model for hydrocarbon fuels containing five species and eight reactions is compared to ignition modeled using an integrated Arrhenius rate threshold and experimental results.…”
Section: Introductionmentioning
confidence: 99%