Approaches for Improving Lumped Parameter Thermal Networks for Outer Rotor SPM Machines

Autor: Wolfgang Amrhein, Andrea Cavagnino, Alberto Tenconi, Frank Jeskey, Daniel Wockinger, Silvio Vaschetto, Gerd Bramerdorfer
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Popis: This work is about the transient modeling of the thermal characteristics of outer rotor SPM machines by considering a lumped parameter thermal network based approach. The machine considered here poses particular challenges for the modeling, e.g., due to the semi-closed stator surrounded by a rotor bell that provides a speed-dependent cooling of the stator coils. Starting from a simpler basic network configuration, model extensions and refinements are presented and discussed. The subsequent parameter identification is done by means of an initial design of experiments based sampling, and a subsequent single-objective and also a multi-objective optimization of error functions for the components’ temperatures. Analyzing the therefrom derived Pareto fronts and the consequent tradeoff regarding achievable minimum modeling errors for different system’s components gives insights into where and how the modeling can be further improved. All the investigations are based on experimental results obtained through operating a particularly developed test setup.
Databáze: OpenAIRE