Thomas Krainer, Daniel Wöckinger, Gerd Bramerdorfer, Stephen Chukwulobe,
"Hybrid Thermal Network Identification for Sensorless Temperature Monitoring of a PMSM Considering Speed-Dependent Cooling Effects"
: IEEE Energy Conversion Congress & Expo, Phoeniy, Arizona, USA, 20.-24.10.2024, 2024
Original Titel:
Hybrid Thermal Network Identification for Sensorless Temperature Monitoring of a PMSM Considering Speed-Dependent Cooling Effects
Sprache des Titels:
Englisch
Original Buchtitel:
IEEE Energy Conversion Congress & Expo, Phoeniy, Arizona, USA, 20.-24.10.2024
Original Kurzfassung:
This study aims to monitor crucial temperatures,
e.g., the winding and the PM temperature, inside a interior rotor
PMSMwith a integrated cooling fan. Therefore, a thermal model
in the form of a lumped parameter thermal network (LPTN) is
identified based on a hybrid modeling approach consisting of two
steps. First, the LPTN?s parameters are initialized with empiric
and simplified analytic models. Special attention is given to the
speed-dependent thermal transitions between motor components
and their environment and between different components caused
by convection, e.g., the windings? cooling or the bearings? heat
transition. The modeling of these transitions represents a unique
challenge because of a rotor-mounted cooling fan. Secondly,
a genetic optimization algorithm compensates for parameter
uncertainties resulting from model simplifications and necessary
approximations in the used analytical models. The large amount
of measurement data needed for this optimization process is
generated using a fully automated test bench presented and
discussed in this paper. Finally, the resulting thermal model is
verified using independent measurement data.
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