The method aims for maximum simulation quality on the one side and on the other side minimal effort in creating thermal models by combining test bench and vehicle tests as well as the use of thermal networks and 3D CFD- /CHT-simulation.
A self developed concept for semi-automatic creation of thermal networks for electric machines is presented and applied to the electric traction motor of the current Porsche Panamera Turbo S PHEV in parallel hybrid configuration. With the use of an automatic optimization process for the data of the thermal network, the behavior of the model can be fitted to realistic measurements. The basis is the so called calibration-cycle that was measured with a prototype car and was transferred to a test bench. The configuration of the test procedure was improved to have a maximum accordance between the two measurement methods and consequently also compared to the two simulation methods. A noticeable high improvement of the simulation quality is presented. A relevant influence of the dynamic variable thermic environment on the monitored temperature in rotor and stator is shown. The resulting models are used to predict the component behavior in the vehicle environment and to evaluate sensitivities in optimizing the durational performance of the machine for dynamic load cycles. The method can be extended to modelling machines in a wide variety of electric machines, also for purely electric vehicles.
Method for Thermal Modeling of Electric Traction Machines for Hybrid Vehicle-Applications
Proceedings
2021-04-14
7 pages
Article/Chapter (Book)
Electronic Resource
English
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