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  • 标题:A Physics-Based Three-Way Catalytic Converter Model for Real-Time Prediction of Temperature Distribution
  • 本地全文:下载
  • 作者:Zhaoxuan Zhu ; Marcello Canova ; Shawn Midlam-Mohler
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:31
  • 页码:166-171
  • DOI:10.1016/j.ifacol.2018.10.031
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThermal management of aftertreatment devices is a critical requirement to comply with the stringent emission standards. A recent challenge in aftertreatment control and diagnostics is the need to monitor the temperature distribution along the entire length of the catalyst, rather than relying on a single-point measurement. To this extent, this work focuses on the preliminary development of a control-oriented, physics-based Three-way Catalytic Converter (TWC) model for the purpose of real-time thermal monitoring. Starting from the governing equations for the TWC thermal model in Partial Differential Equation (PDE) form, a model order reduction technique that combines Proper Orthogonal Decomposition and Collocation is proposed. The reduced order model executes much faster than using standard numerical methods, and meanwhile provides comparable accuracy. The model is also validated against GT-Power in the ability to predict the temperature distribution during cold-start conditions.
  • 关键词:KeywordsThree-way Catalytic ConverterControl-oriented ModelModel Order ReductionProper Orthogonal DecompositionCollocation
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