Thermal Model Calibration of a Squirrel-Cage Induction Machine
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arXiv
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| Hauptverfasser: | , , , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| author | Blumrich, Leon Bergfried, Christian Galetzka, Armin De Gersem, Herbert Seebacher, Roland Mütze, Annette Späck-Leigsnering, Yvonne |
| author_facet | Blumrich, Leon Bergfried, Christian Galetzka, Armin De Gersem, Herbert Seebacher, Roland Mütze, Annette Späck-Leigsnering, Yvonne |
| contents | Accurate and efficient thermal simulations of induction machines are indispensable for detecting thermal hot spots and hence avoiding potential material failure in an early design stage. A goal is the better utilization of the machines with reduced safety margins due to a better knowledge of the critical conditions. In this work, the parameters of a two-dimensional induction machine model are calibrated according to evidence from measurements, by solving an inverse field problem. The set of parameters comprise material parameters as well as parameters that model three-dimensional effects. This allows a consideration of physical effects without explicit knowledge of its quantities. First, the accuracy of the approach is studied using an academic example in combination with synthetic data. Afterwards, it is successfully applied to a realistic induction machine model. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_03935 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Thermal Model Calibration of a Squirrel-Cage Induction Machine Blumrich, Leon Bergfried, Christian Galetzka, Armin De Gersem, Herbert Seebacher, Roland Mütze, Annette Späck-Leigsnering, Yvonne Computational Engineering, Finance, and Science Accurate and efficient thermal simulations of induction machines are indispensable for detecting thermal hot spots and hence avoiding potential material failure in an early design stage. A goal is the better utilization of the machines with reduced safety margins due to a better knowledge of the critical conditions. In this work, the parameters of a two-dimensional induction machine model are calibrated according to evidence from measurements, by solving an inverse field problem. The set of parameters comprise material parameters as well as parameters that model three-dimensional effects. This allows a consideration of physical effects without explicit knowledge of its quantities. First, the accuracy of the approach is studied using an academic example in combination with synthetic data. Afterwards, it is successfully applied to a realistic induction machine model. |
| title | Thermal Model Calibration of a Squirrel-Cage Induction Machine |
| topic | Computational Engineering, Finance, and Science |
| url | https://arxiv.org/abs/2502.03935 |