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Virtual Development of Advanced Thermal Management Functions Using Model-in-the-Loop Applications

Author

Listed:
  • Jonas Müller

    (Chair of Thermodynamics of Mobile Energy Conversion Systems, RWTH Aachen University, Forckenbeckstraße 4, 52074 Aachen, Germany)

  • Nico Besser

    (Chair of Thermodynamics of Mobile Energy Conversion Systems, RWTH Aachen University, Forckenbeckstraße 4, 52074 Aachen, Germany)

  • Philipp Hermsen

    (Chair of Thermodynamics of Mobile Energy Conversion Systems, RWTH Aachen University, Forckenbeckstraße 4, 52074 Aachen, Germany)

  • Stefan Pischinger

    (Chair of Thermodynamics of Mobile Energy Conversion Systems, RWTH Aachen University, Forckenbeckstraße 4, 52074 Aachen, Germany)

  • Jürgen Knauf

    (FEV Europe GmbH, Neuenhofstraße 181, 52078 Aachen, Germany)

  • Pooya Bagherzade

    (FEV Europe GmbH, Neuenhofstraße 181, 52078 Aachen, Germany)

  • Johannes Fryjan

    (FEV Europe GmbH, Neuenhofstraße 181, 52078 Aachen, Germany)

  • Andreas Balazs

    (FEV Europe GmbH, Neuenhofstraße 181, 52078 Aachen, Germany)

  • Simon Gottorf

    (FEV Europe GmbH, Neuenhofstraße 181, 52078 Aachen, Germany)

Abstract

Development challenges in the automotive industry are constantly increasing due to the high number of vehicle variants, the growing complexity of powertrains, and future legal requirements. In order to reduce development times while maintaining a high level of product quality and financial feasibility, the application of new model-based methods for virtual powertrain calibration is a particularly suitable approach. In this context, TME and FEV combine advanced thermal management models with electronic control unit (ECU) models for model-in-the-loop applications. This paper presents a development process for ECU and on-board diagnostics (OBD) functions of thermal management systems in hybrid electric vehicles. Thanks to the highly accurate 1D/3D-models, optimal control strategies for electrically actuated components can be developed in early development phases. Virtual sensors for local temperatures are developed for the ECU software to enable a cost-effective use of dedicated control functions. Furthermore, an application for OBD cooling system leakage detection is shown. Finally, the transferability of the methodology to a battery cooling system is demonstrated.

Suggested Citation

  • Jonas Müller & Nico Besser & Philipp Hermsen & Stefan Pischinger & Jürgen Knauf & Pooya Bagherzade & Johannes Fryjan & Andreas Balazs & Simon Gottorf, 2023. "Virtual Development of Advanced Thermal Management Functions Using Model-in-the-Loop Applications," Energies, MDPI, vol. 16(7), pages 1-26, April.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:7:p:3238-:d:1115739
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    References listed on IDEAS

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    1. Bova, Sergio & Castiglione, Teresa & Piccione, Rocco & Pizzonia, Francesco, 2015. "A dynamic nucleate-boiling model for CO2 reduction in internal combustion engines," Applied Energy, Elsevier, vol. 143(C), pages 271-282.
    2. Teresa Castiglione & Pietropaolo Morrone & Luigi Falbo & Diego Perrone & Sergio Bova, 2020. "Application of a Model-Based Controller for Improving Internal Combustion Engines Fuel Economy," Energies, MDPI, vol. 13(5), pages 1-22, March.
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