Approach for the Model and Parameter Selection for the Calculation of Induction Machines

Martin Nell, Alexander Kubin and Kay Hameyer
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Martin Nell: Institute of Electrical Machines (IEM), RWTH Aachen University, 52062 Aachen, Germany
Alexander Kubin: Institute of Electrical Machines (IEM), RWTH Aachen University, 52062 Aachen, Germany
Kay Hameyer: Institute of Electrical Machines (IEM), RWTH Aachen University, 52062 Aachen, Germany

Energies, 2021, vol. 14, issue 18, 1-20

Abstract: The solution of multiphysical problems in the field of electrical machines is a complex task that involves the modeling of a wide variety of coupled physical domains. Different types of models and solution methods can be used to model and solve the individual domains. In this paper a procedure for the methodical selection of the most suitable model for a given multiphysics task is presented. Furthermore, an approach for the selection of the most suitable variable machine parameters for a design optimization is presented. The model selection is presented on the basis of the electromagnetic calculation of an induction machine. For this purpose, models of different value ranges and levels of detail, such as analytical and numerical ones, are considered. The approach of the model selection is explained and applied on the basis of a coupled electromagnetic-thermal simulation of an exemplary induction machine. The results show that the model selection presented here can be used to methodically determine the most suitable model in terms of its value range, level of detail and computational effort for a given multiphysical problem.

Keywords: induction machine; electromagnetic models; model selection (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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