IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i7p3238-d1115739.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/7/3238/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/7/3238/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Di Battista, D. & Cipollone, R., 2016. "Experimental and numerical assessment of methods to reduce warm up time of engine lubricant oil," Applied Energy, Elsevier, vol. 162(C), pages 570-580.
    2. Fatigati, Fabio & Di Battista, Davide & Cipollone, Roberto, 2021. "Design improvement of volumetric pump for engine cooling in the transportation sector," Energy, Elsevier, vol. 231(C).
    3. Yin, Lianhao & Lundgren, Marcus & Wang, Zhenkan & Stamatoglou, Panagiota & Richter, Mattias & Andersson, Öivind & Tunestål, Per, 2019. "High efficient internal combustion engine using partially premixed combustion with multiple injections," Applied Energy, Elsevier, vol. 233, pages 516-523.
    4. Teresa Castiglione & Diego Perrone & Luciano Strafella & Antonio Ficarella & Sergio Bova, 2023. "Linear Model of a Turboshaft Aero-Engine Including Components Degradation for Control-Oriented Applications," Energies, MDPI, vol. 16(6), pages 1-18, March.
    5. Pizzonia, Francesco & Castiglione, Teresa & Bova, Sergio, 2016. "A Robust Model Predictive Control for efficient thermal management of internal combustion engines," Applied Energy, Elsevier, vol. 169(C), pages 555-566.
    6. Yin, Lianhao & Turesson, Gabriel & Tunestål, Per & Johansson, Rolf, 2019. "Evaluation and transient control of an advanced multi-cylinder engine based on partially premixed combustion," Applied Energy, Elsevier, vol. 233, pages 1015-1026.
    7. Castiglione, Teresa & Pizzonia, Francesco & Piccione, Rocco & Bova, Sergio, 2016. "Detecting the onset of nucleate boiling in internal combustion engines," Applied Energy, Elsevier, vol. 164(C), pages 332-340.
    8. Savvas Savvakis & Dimitrios Mertzis & Elias Nassiopoulos & Zissis Samaras, 2020. "A Design of the Compression Chamber and Optimization of the Sealing of a Novel Rotary Internal Combustion Engine Using CFD," Energies, MDPI, vol. 13(9), pages 1-21, May.
    9. 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.
    10. Junhong Zhang & Zhexuan Xu & Jiewei Lin & Zefeng Lin & Jingchao Wang & Tianshu Xu, 2018. "Thermal Characteristics Investigation of the Internal Combustion Engine Cooling-Combustion System Using Thermal Boundary Dynamic Coupling Method and Experimental Verification," Energies, MDPI, vol. 11(8), pages 1-20, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:16:y:2023:i:7:p:3238-:d:1115739. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.