2023 Fiscal Year Final Research Report
Generation of new three-dimensional structure of permanent magnet motors using topology optimization
| Project/Area Number |
21H01301
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Review Section |
Basic Section 21010:Power engineering-related
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| Research Institution | Hokkaido University |
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Principal Investigator |
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| Project Period (FY) |
2021-04-01 – 2024-03-31
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| Keywords | トポロジー最適化 / 最適設計 / 深層学習 / 電磁界解析 / 永久磁石モータ |
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| Outline of Final Research Achievements |
In this study, topology optimization using the Gaussian basis was performed to obtain a new three-dimensional structure for permanent magnet motors. For this purpose, the motor was divided into several layers in the direction of the axis of rotation, and topology optimization was performed to find the optimal cross-sectional shape for each layer. This resulted in a new three-dimensional rotor structure with high average torque and extremely low torque ripple. For a three-dimensional permanent magnet motor with a stepped skew in the axial direction, simultaneous parameter and topology optimization of the skew angle and flux barrier structure was achieved. As a result, a motor structure with low torque ripple and robustness to manufacturing errors was obtained. A method to accelerate topology optimization by deep learning was also developed.
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| Free Research Field |
最適設計
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| Academic Significance and Societal Importance of the Research Achievements |
本研究では，永久磁石モータの回転子構造の3次元トポロジー最適化を行った．本最適化では，回転子を複数の層に分割し，それぞれの層で独立に永久磁石構造を変化させることで，モータ全体の平均トルクを最大化しつつ，トルクリプルを最小化した．最適化により見出した各層で異なる永久磁石構造を持つモータは，これまで報告がなく，学術的な新規性を有する．また本研究では，スキュー角と回転子の磁気トポロジーを同時に最適化する新しい手法を開発した．これら研究成果は，電気自動車用モータなど高い性能が要求されるモータの開発に有効である．
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