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

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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)

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.

Suggested Citation

  • Martin Nell & Alexander Kubin & Kay Hameyer, 2021. "Approach for the Model and Parameter Selection for the Calculation of Induction Machines," Energies, MDPI, vol. 14(18), pages 1-20, September.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:18:p:5623-:d:630856
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    References listed on IDEAS

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    1. Martin Nell & Alexander Kubin & Kay Hameyer, 2021. "Multi-Stage Optimization of Induction Machines Using Methods for Model and Parameter Selection," Energies, MDPI, vol. 14(17), pages 1-24, September.
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    Cited by:

    1. Ryszard Palka, 2022. "The Performance of Induction Machines," Energies, MDPI, vol. 15(9), pages 1-4, April.
    2. Martin Nell & Alexander Kubin & Kay Hameyer, 2021. "Multi-Stage Optimization of Induction Machines Using Methods for Model and Parameter Selection," Energies, MDPI, vol. 14(17), pages 1-24, September.

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    1. Ryszard Palka, 2022. "The Performance of Induction Machines," Energies, MDPI, vol. 15(9), pages 1-4, April.

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