Numerically-based Reduced-order Thermal Modeling of Traction Motors
Journal article, 2021

This paper presents an approach based on numerical reduced-order modeling to analyze the thermal behavior of electric traction motors. In this study, a single conjugate heat transfer analysis provides the possibility to accurately predict thermal performances by incorporating both computational fluid dynamic and heat transfer modules. Then, the developed model is used as the basis for deriving a fast reduced-order model of the traction motor enabling prediction of motor thermal behaviour in duty cycles with a high number of operating points. All the results achieved are verified using flow and temperature measurements carried out on a traction motor designed and built for a traction application. A good agreement between the measured and estimated values of flows and temperatures is achieved while keeping the computation time within a reasonable range for both the full-order and reduced-order conjugate heat transfer models. The optimized full-order model can be run in minutes and the reduced-order model computation time is less than one second per operating point. The transient simulation based on reduced-order model is conducted and both the learning phase and validation results are well illustrated. It is shown than the deviation of the reduced-order model in estimating the motor thermal performance is less than one Celsius degree from the full-order model.

Traction motors

Atmospheric modeling

Windings

Solids

Fans

Heat transfer

Computational modeling

Author

Luca Boscaglia

Chalmers, Electrical Engineering, Electric Power Engineering, Electrical Machines and Power Electronics

ABB Group

Aldo Boglietti

Polytechnic University of Turin

Shafigh Nategh

Chalmers, Electrical Engineering, Electric Power Engineering, Electrical Machines and Power Electronics

ABB Corporate Research Center

Fabio Bonsanto

ANSYS, Inc.

Claudio Scema

Polytechnic University of Turin

IEEE Transactions on Industry Applications

0093-9994 (ISSN)

Vol. 57 4 4118-4129

Subject Categories

Aerospace Engineering

Applied Mechanics

Energy Engineering

DOI

10.1109/TIA.2021.3077553

More information

Latest update

9/15/2021