基于数字孪生的电机冷却优化研究
Research on Optimization of Motor Cooling Based on Digital Twins
DOI: 10.12677/mos.2025.141078, PDF,   
作者: 管大凯:上海理工大学机械工程学院,上海
关键词: 电机热电制冷ANSYS仿真数字孪生Electric Machinery Thermoelectric Refrigeration ANSYS Simulation Digital Twin
摘要: 随着工业应用中电机功率和效率要求的提高,电机在运行过程中产生的热量成为了一个关键的挑战。有效的冷却系统对于维持电机的性能和寿命至关重要。基于热电制冷的原理,提出了一种新的电机冷却系统。所提出的基于热电的冷却系统(TECS)的主要策略是使用热电冷却器(TEC)通过热传导原理来冷却电机。采用了数值模拟和实验测量相结合的方法,比较了风冷、热电制冷在不同工作条件下的表现。经实验和ANSYS仿真表明,该TECS系统冷却效果明显优于风冷,这对提高电机工作效率具有重要意义。
Abstract: With the increasing demand for motor power and efficiency in industrial applications, the heat generated by motors during operation has become a key challenge. An effective cooling system is crucial for maintaining the performance and lifespan of the motor. A new motor cooling system is proposed based on the principle of thermoelectric refrigeration. The main strategy of the proposed thermoelectric cooling system (TECS) is to use a thermoelectric cooler (TEC) to cool the motor through the principle of thermal conduction. A combination of numerical simulation and experimental measurement was used to compare the performance of air-cooled and thermoelectric refrigeration under different working conditions. Experiments and ANSYS simulations have shown that the cooling effect of the TECS system is significantly better than that of air cooling, which is of great significance for improving the efficiency of motor operation.
文章引用:管大凯. 基于数字孪生的电机冷却优化研究[J]. 建模与仿真, 2025, 14(1): 839-853. https://doi.org/10.12677/mos.2025.141078

参考文献

[1] Wu, H., Ji, P., Ma, H. and Xing, L. (2023) A Comprehensive Review of Digital Twin from the Perspective of Total Process: Data, Models, Networks and Applications. Sensors, 23, Article 8306. [Google Scholar] [CrossRef] [PubMed]
[2] Liu, Y., Feng, J., Lu, J. and Zhou, S. (2024) A Review of Digital Twin Capabilities, Technologies, and Applications Based on the Maturity Model. Advanced Engineering Informatics, 62, Article ID: 102592. [Google Scholar] [CrossRef
[3] 周冕, 何闻莺. 浅谈电动汽车冷却系统设计及电机最优冷却温度控制[J]. 南方农机, 2019, 50(15): 50.
[4] 王宜时. 基于热管改良的汽车电机散热效果研究[J]. 汽车实用技术, 2019(11): 137-141.
[5] Li, Z., Che, S., Zhao, H., Zhang, L., Wang, P., Du, S., et al. (2023) Loss Analysis of High-Speed Permanent Magnet Motor Based on Energy Saving and Emission Reduction. Energy Reports, 9, 2379-2394. [Google Scholar] [CrossRef
[6] de Souza, D.F., da Silva, P.P.F., Sauer, I.L., de Almeida, A.T. and Tatizawa, H. (2024) Life Cycle Assessment of Electric Motors—A Systematic Literature Review. Journal of Cleaner Production, 456, Article ID: 142366. [Google Scholar] [CrossRef
[7] Khalifa, A.N. (2001) Natural Convective Heat Transfer Coefficient—A Review. Energy Conversion and Management, 42, 505-517. [Google Scholar] [CrossRef
[8] Chen, W., Shi, X., Zou, J. and Chen, Z. (2022) Thermoelectric Coolers for On-Chip Thermal Management: Materials, Design, and Optimization. Materials Science and Engineering: R: Reports, 151, Article ID: 100700. [Google Scholar] [CrossRef
[9] Mao, J., Chen, G. and Ren, Z. (2020) Thermoelectric Cooling Materials. Nature Materials, 20, 454-461. [Google Scholar] [CrossRef] [PubMed]
[10] Cheng, L., Wang, K., Xia, G. and Ghajar, A.J. (2023) Advanced Heat Transfer Technologies: Fundamentals and Applications. Heat Transfer Engineering, 44, 1947-1949. [Google Scholar] [CrossRef
[11] 买买提明∙艾尼, 热合买提江∙依明. 现代数值模拟方法与工程实际应用[J]. 工程力学, 2014, 31(4): 11-18.
[12] Dilbagh, P., Mohit, T., Anish, S. and Dragan, P. (2022) Design and Development of Spherical Roller Bearings: A Review. Optimization of Industrial Systems, 24, 134-144.
[13] Egorov, D., Petrov, I., Pyrhonen, J.J., Link, J., Stern, R., Sergeant, P., et al. (2022) Hysteresis Loss in NDFEB Permanent Magnets in a Permanent Magnet Synchronous Machine. IEEE Transactions on Industrial Electronics, 69, 121-129. [Google Scholar] [CrossRef
[14] Zhao, H., Zhao, X., Xu, S., Liu, W., Wu, Y. and An, Y. (2023) Hysteresis and Loss Characteristics of Soft Magnetic Materials Based on Nonlinear Preisach Model. Journal of Superconductivity and Novel Magnetism, 36, 1655-1664. [Google Scholar] [CrossRef
[15] Long, Y., Luo, M., Su, Z., Zhou, C., Wang, X., Wang, S., et al. (2023) Research on Load Distribution of Radially Loaded Deep Groove Ball Bearing. 2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS), Yibin, 22-24 September 2023, 1-5. [Google Scholar] [CrossRef
[16] Basu, S., Zhang, Z.M. and Fu, C.J. (2009) Review of Near-Field Thermal Radiation and Its Application to Energy Conversion. International Journal of Energy Research, 33, 1203-1232. [Google Scholar] [CrossRef