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Fluid Choice Based on Thermal Model and Performance Testing for Direct Cooled Electric Drive

Author

Listed:
  • Robert Lehmann

    (Mercedes-Benz AG, Mercedesstr. 130/6, 70546 Stuttgart, Germany
    Karlsruher Institut für Technologie—Institut für Fahrzeugsystemtechnik, Rintheimer Querallee 2, Gebäude 70.04, 76131 Karlsruhe, Germany)

  • Arthur Petuchow

    (Afton Chemical GmbH, Am Kaiserkai 1, 20457 Hamburg, Germany)

  • Matthias Moullion

    (TWT GmbH Science & Innovation, Ernsthaldenstraße 17, 70565 Stuttgart, Germany)

  • Moritz Künzler

    (Mercedes-Benz AG, Mercedesstr. 130/6, 70546 Stuttgart, Germany)

  • Christian Windel

    (Mercedes-Benz AG, Mercedesstr. 130/6, 70546 Stuttgart, Germany)

  • Frank Gauterin

    (Karlsruher Institut für Technologie—Institut für Fahrzeugsystemtechnik, Rintheimer Querallee 2, Gebäude 70.04, 76131 Karlsruhe, Germany)

Abstract

In this publication, the cooling fluid for direct oil-cooled electric traction drive is investigated. A dedicated thermal resistance model was developed in order to show the influence of the fluid properties on the continuous performance. For this purpose, the heat transfer parameters are adjusted in the simulation using an exponential approach in order to evaluate the cooling fluid. In a sensitivity study, density, heat capacity, thermal conductivity, and viscosity are investigated. Because viscosity, within the range investigated, shows the largest percentage deviation from the reference fluid, the greatest effect on performance can be seen here. In order to check the plausibility of the calculated results of the thermal simulation, two fluids were chosen for performance testing on a dedicated electro motor cooling (EMC) test. Beyond the investigation of heat transfer, aging of the defined fluid at maximum heat input over several hours is also evaluated. Only slight changes of the fluid properties are detected. This publication presents a thermal model for direct oil-cooled drive trains, which consider fluid properties. Furthermore, the model was tested for plausibility on real hardware.

Suggested Citation

  • Robert Lehmann & Arthur Petuchow & Matthias Moullion & Moritz Künzler & Christian Windel & Frank Gauterin, 2020. "Fluid Choice Based on Thermal Model and Performance Testing for Direct Cooled Electric Drive," Energies, MDPI, vol. 13(22), pages 1-13, November.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:22:p:5867-:d:442742
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    Citations

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    Cited by:

    1. Junjie Zhao & Bin Zhang & Xiaoli Fu & Shenglin Yan, 2021. "Numerical Study on the Influence of Vortex Generator Arrangement on Heat Transfer Enhancement of Oil-Cooled Motor," Energies, MDPI, vol. 14(21), pages 1-17, October.
    2. Yacine Amara, 2023. "Design, Modeling, and Control of Rotating and Linear Electric Machines for Automotive Applications," Energies, MDPI, vol. 16(15), pages 1-3, August.
    3. Marko Merdžan, 2021. "Performance Analysis of High-Speed Electric Machines Supplied by PWM Inverters Based on the Harmonic Modeling Method," Energies, MDPI, vol. 14(9), pages 1-35, May.

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