摘要
To optimize the performance of permanent magnet synchronous motor (PMSM), a multidisciplinary design optimization (MDO) method is proposed which considers both motor structure and controller design. Surrogate models are constructs to save computing resources and accelerate the optimization process. In order to solve the problem that the selection of surrogate model depends heavily on the experience of engineers, an intelligent surrogate model selection method (ISMSM) is proposed to obtain a proper surrogate model. Based on ISMSM and the MDO method, the PMSM design parameters are optimized, and the results show a significant improvement in overall performance.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Proceedings of 2024 IEEE 7th International Electrical and Energy Conference, CIEEC 2024 |
| 出版商 | Institute of Electrical and Electronics Engineers Inc. |
| 页 | 2133-2137 |
| 页数 | 5 |
| ISBN（电子版） | 9798350359558 |
| DOI | |
| 出版状态 | 已出版 - 2024 |
| 活动 | 7th IEEE International Electrical and Energy Conference, CIEEC 2024 - Harbin, 中国 期限: 10 5月 2024 → 12 5月 2024 |
出版系列
| 姓名 | Proceedings of 2024 IEEE 7th International Electrical and Energy Conference, CIEEC 2024 |
|---|
会议
| 会议 | 7th IEEE International Electrical and Energy Conference, CIEEC 2024 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Harbin |
| 时期 | 10/05/24 → 12/05/24 |
指纹
探究 'Design Optimization of PMSM for Electric Vehicles Based on an Intelligent Surrogate Model Selection Method' 的科研主题。它们共同构成独一无二的指纹。引用此
Wang, H., Chen, X., Wang, X., & Li, Z. (2024). Design Optimization of PMSM for Electric Vehicles Based on an Intelligent Surrogate Model Selection Method. 在 Proceedings of 2024 IEEE 7th International Electrical and Energy Conference, CIEEC 2024 (页码 2133-2137). (Proceedings of 2024 IEEE 7th International Electrical and Energy Conference, CIEEC 2024). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CIEEC60922.2024.10583097