Advanced Data-based Temperature Modeling of an External Rotor PM Machine Considering an Optional Housing

Conference: IKMT 2022 - 13. GMM/ETG-Fachtagung
09/14/2022 - 09/15/2022 at Linz, Österreich

Proceedings: GMM-Fb. 103: IKMT 2022

Pages: 7Language: englishTyp: PDF

Authors:
Woeckinger, Daniel; Bramerdorfer, Gerd; Krainer, Thomas; Amrhein, Wolfgang (Johannes Kepler University Linz, Linz, Austria)
Keller, Roland; Mund, Bastian (Dr. Fritz Faulhaber GmbH & Co. KG, Schönaich, Germany)

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.