Abstract
The focus of this study is on the transient thermal behavior of a brushless PMSM with external rotor and an optional housing. Therefore, a two-stage modeling process consisting of a classical thermal modeling using lumped parameter thermal networks (LPTNs) followed by a data-based parameter modification y ields a t hermal model with v ery high prediction accuracy across the entire safety operating area (SOA). First, the initial parameter determination is based on analytical and empirical approaches. Then, a generic algorithm is used to compensate uncertainties caused by model simplifications and a pproximations. For t his r eason, a f ully automated data acquisition i s r equired. A t est bench that allows a simultaneous acquisition of mechanical, electrical, and temperature data is discussed. Finally, the developed models are verified using measured data.
| Originalsprache | Englisch |
|---|---|
| Titel | IKMT2022, Innovative Kleinantriebs-und Kleinmotorentechnik, Linz, Österreich |
| Seitenumfang | 7 |
| Publikationsstatus | Veröffentlicht - Sep. 2022 |
Wissenschaftszweige
- 202 Elektrotechnik, Elektronik, Informationstechnik
- 202009 Elektrische Antriebstechnik
- 202011 Elektrische Maschinen
- 202025 Leistungselektronik
- 202027 Mechatronik
JKU-Schwerpunkte
- Digital Transformation
- Sustainable Development: Responsible Technologies and Management
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