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

Robert Lehmann, Arthur Petuchow, Matthias Moullion, Moritz Künzler, Christian Windel and Frank Gauterin
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Robert Lehmann: Mercedes-Benz AG, Mercedesstr. 130/6, 70546 Stuttgart, 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

Energies, 2020, vol. 13, issue 22, 1-13

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.

Keywords: electric machine; cooling fluid; thermal model; durability; direct cooling (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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