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A Simplified Catalytic Converter Model for Automotive Coldstart Applications with Adaptive Parameter Fitting
Pannag R Sanketi, Carlos Zavala, Karl Hedrick, Mark Wilcutts, Tomoyuki Kaga

Citation
Pannag R Sanketi, Carlos Zavala, Karl Hedrick, Mark Wilcutts, Tomoyuki Kaga. "A Simplified Catalytic Converter Model for Automotive Coldstart Applications with Adaptive Parameter Fitting". 8th International Symposium on Advanced Vehicle Control, August, 2006.

Abstract
It is well known that a major portion of the unburned hydrocarbon (HC) emissions in a typical drive cycle of an automotive engine are produced in the initial 1-2 minutes of operation, commonly called as the "coldstart" period. Catalyst light-off is essential for reducing these emissions. Model-based paradigm is used to develop a control-oriented, thermodynamics based simple catalyst model for coldstart analysis. The catalyst thermal submodel is modeled as a hybrid system consisting of three discrete states and one continuous state. The discrete states are "initial warm-up", "evaporation of condensed gas" and "light-off". The continuous dynamics consists of the catalyst temperature. In each of the discrete states, energy balance of a control mass is used to model the catalyst temperature. Parameter adaptation algorithm (PAA) is used to identify the parameters in each of the discrete states. Effectiveness of the average values of the adjusted parameters is also given. Wiebe profiles are adopted to empirically model the HC emissions conversion properties of the catalyst as a function of the catalyst temperature and the air-fuel ratio. The static efficiency maps are further extended to include the effects of spatial velocity of the feedgas. Experimental results indicate good agreement with the model estimates for the catalyst warm-up.

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Citation formats  
  • HTML
    Pannag R Sanketi, Carlos Zavala, Karl Hedrick, Mark
    Wilcutts, Tomoyuki Kaga. <a
    href="http://chess.eecs.berkeley.edu/pubs/89.html"
    >A Simplified Catalytic Converter Model for Automotive
    Coldstart Applications with Adaptive Parameter
    Fitting</a>, 8th International Symposium on Advanced
    Vehicle Control, August, 2006.
  • Plain text
    Pannag R Sanketi, Carlos Zavala, Karl Hedrick, Mark
    Wilcutts, Tomoyuki Kaga. "A Simplified Catalytic
    Converter Model for Automotive Coldstart Applications with
    Adaptive Parameter Fitting". 8th International
    Symposium on Advanced Vehicle Control, August, 2006.
  • BibTeX
    @inproceedings{SanketiZavalaHedrickWilcuttsKaga06_SimplifiedCatalyticConverterModelForAutomotiveColdstart,
        author = {Pannag R Sanketi and Carlos Zavala and Karl
                  Hedrick and Mark Wilcutts and Tomoyuki Kaga},
        title = {A Simplified Catalytic Converter Model for
                  Automotive Coldstart Applications with Adaptive
                  Parameter Fitting},
        booktitle = {8th International Symposium on Advanced Vehicle
                  Control},
        month = {August},
        year = {2006},
        abstract = {It is well known that a major portion of the
                  unburned hydrocarbon (HC) emissions in a typical
                  drive cycle of an automotive engine are produced
                  in the initial 1-2 minutes of operation, commonly
                  called as the "coldstart" period. Catalyst
                  light-off is essential for reducing these
                  emissions. Model-based paradigm is used to develop
                  a control-oriented, thermodynamics based simple
                  catalyst model for coldstart analysis. The
                  catalyst thermal submodel is modeled as a hybrid
                  system consisting of three discrete states and one
                  continuous state. The discrete states are "initial
                  warm-up", "evaporation of condensed gas" and
                  "light-off". The continuous dynamics consists of
                  the catalyst temperature. In each of the discrete
                  states, energy balance of a control mass is used
                  to model the catalyst temperature. Parameter
                  adaptation algorithm (PAA) is used to identify the
                  parameters in each of the discrete states.
                  Effectiveness of the average values of the
                  adjusted parameters is also given. Wiebe profiles
                  are adopted to empirically model the HC emissions
                  conversion properties of the catalyst as a
                  function of the catalyst temperature and the
                  air-fuel ratio. The static efficiency maps are
                  further extended to include the effects of spatial
                  velocity of the feedgas. Experimental results
                  indicate good agreement with the model estimates
                  for the catalyst warm-up. },
        URL = {http://chess.eecs.berkeley.edu/pubs/89.html}
    }
    

Posted by Pannag R Sanketi on 11 May 2006.
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