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Optimal Integrated Emission Management through Variable Engine Calibration

Author

Listed:
  • Johannes Ritzmann

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

  • Oscar Chinellato

    (FPT Motorenforschung AG, 9320 Arbon, Switzerland)

  • Richard Hutter

    (FPT Motorenforschung AG, 9320 Arbon, Switzerland)

  • Christopher Onder

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

Abstract

In this work, the potential for improving the trade-off between fuel consumption and tailpipe NO x emissions through variable engine calibration (VEC) is demonstrated for both conventional and hybrid electric vehicles (HEV). First, a preoptimization procedure for the engine operation is proposed to address the challenge posed by the large number of engine control inputs. By excluding infeasible and suboptimal operation offline, an engine model is developed that can be evaluated efficiently during online optimization. Next, dynamic programming is used to find the optimal trade-off between fuel consumption and tailpipe NO x emissions for various vehicle configurations and driving missions. Simulation results show that for a conventional vehicle equipped with VEC and gear optimization run on the worldwide harmonized light vehicles test cycle (WLTC), the fuel consumption can be reduced by 5.4% at equivalent NO x emissions. At equivalent fuel consumption, the NO x emissions can be reduced by 80%. For an HEV, the introduction of VEC, in addition to the optimization of the torque split and the gear selection, drastically extended the achievable trade-off between fuel consumption and tailpipe NO x emissions in simulations. Most notably, the region with very low NO x emissions could only be reached with VEC.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:22:p:7606-:d:678774
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    References listed on IDEAS

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    1. Tobias Nüesch & Alberto Cerofolini & Giorgio Mancini & Nicolò Cavina & Christopher Onder & Lino Guzzella, 2014. "Equivalent Consumption Minimization Strategy for the Control of Real Driving NOx Emissions of a Diesel Hybrid Electric Vehicle," Energies, MDPI, vol. 7(5), pages 1-31, May.
    2. 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.
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    Cited by:

    1. 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.
    2. Hamza Mediouni & Amal Ezzouhri & Zakaria Charouh & Khadija El Harouri & Soumia El Hani & Mounir Ghogho, 2022. "Energy Consumption Prediction and Analysis for Electric Vehicles: A Hybrid Approach," Energies, MDPI, vol. 15(17), pages 1-17, September.

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