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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• 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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