| 研究生: |
制越花 Che Viet hoa |
|---|---|
| 論文名稱: |
基於馬達常數之最佳化方法以提升電助自行車輪殼馬達高效率操作區間 An Optimization Method to Maximize High-Efficiency Operating Range of E-bike Hub Motor based on Motor Constant |
| 指導教授: |
謝旻甫
Hsieh, Min-Fu |
| 學位類別: |
碩士 Master |
| 系所名稱: |
電機資訊學院 - 電機工程學系 Department of Electrical Engineering |
| 論文出版年: | 2022 |
| 畢業學年度: | 110 |
| 語文別: | 英文 |
| 論文頁數: | 83 |
| 外文關鍵詞: | Spoke type permanent magnet motor, motor constant, high torque density, magnetic flux leakage, flux concentration factor, optimization |
| 相關次數: | 點閱:72 下載:0 |
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A Motor constant can be used to evaluate the performance and efficiency of electrical motors; however, iron loss is not considered in the convention motor constant definition. This thesis proposes a new definition of motor constant that includes both iron loss and copper loss of electric motors to make it become a comprehensive indicator for motor performance and efficiency. Many factors in motor design must be considered in order to improve the efficiency and the performance of permanent magnet synchronous machine at the same time. Therefore, the multi-objective optimization methods are often used to maximize the motor efficiency, although it has inherent drawbacks of complicated algorithms and huge computation cost to work with finite element analysis. By using the proposed motor constant, the multi-objective optimization problem is converted into a single objective optimization problem, thereby simplifying the optimization method. Genetic algorithm (GA) optimization method using motor constant as the fitness function is employed to find the optimal parameters of the motor stator to maximize high-efficiency operating range of the motor. The research results show that the new motor constant can accurately present the motor efficiency, and based on it, the Genetic Algorithm optimization method can provide optimal design with better high-efficiency operating range. The electromagnetic characteristics of the motor designs are investigated and verified by finite element analysis with JMAG software. Finally, a 250W motor, whose performance had matched the requirements of the E-bike application, is fabricated to test its performance to verify the accuracy of simulation analysis.
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校內:2027-02-09公開