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Model Predictive Supervisory Control for Integrated Emission Management of Diesel Engines

Author

Listed:
  • Johannes Ritzmann

    (Department of Mechanical Engineering and Process Control, ETH Zürich, 8092 Zürich, Switzerland)

  • Christian Peterhans

    (FPT Motorenforschung AG, 9320 Arbon, Switzerland)

  • Oscar Chinellato

    (FPT Motorenforschung AG, 9320 Arbon, Switzerland)

  • Manuel Gehlen

    (FPT Motorenforschung AG, 9320 Arbon, Switzerland)

  • Christopher Onder

    (Department of Mechanical Engineering and Process Control, ETH Zürich, 8092 Zürich, Switzerland)

Abstract

In this work, a predictive supervisory controller is presented that optimizes the interaction between a diesel engine and its aftertreatment system (ATS). The fuel consumption is minimized while respecting an upper bound on the emitted tailpipe NO x mass. This is achieved by optimally balancing the fuel consumption, the engine-out NO x emissions, and the ATS heating. The proposed predictive supervisory controller employs a two-layer model predictive control structure and solves the optimal control problem using a direct method. Through experimental validation, the resulting controller was shown to reduce the fuel consumption by 1.1% at equivalent tailpipe NO x emissions for the nonroad transient cycle when compared to the operation with a fixed engine calibration. Further, the controller’s robustness to different missions, initial ATS temperatures, NO x limits, and mispredictions was demonstrated.

Suggested Citation

  • Johannes Ritzmann & Christian Peterhans & Oscar Chinellato & Manuel Gehlen & Christopher Onder, 2022. "Model Predictive Supervisory Control for Integrated Emission Management of Diesel Engines," Energies, MDPI, vol. 15(8), pages 1-22, April.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:8:p:2755-:d:789947
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    References listed on IDEAS

    as
    1. Stephan Zentner & Jonas Asprion & Christopher Onder & Lino Guzzella, 2014. "An Equivalent Emission Minimization Strategy for Causal Optimal Control of Diesel Engines," Energies, MDPI, vol. 7(3), pages 1-21, February.
    2. Johannes Ritzmann & Oscar Chinellato & Richard Hutter & Christopher Onder, 2021. "Optimal Integrated Emission Management through Variable Engine Calibration," Energies, MDPI, vol. 14(22), pages 1-23, November.
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