Thermal optimization of a totally enclosed forced ventilated permanentmagnet traction motor using lumped parameter and partial computational fluid dynamics modeling-Reference-Cited by-同舟云学术

Thermal optimization of a totally enclosed forced ventilated permanentmagnet traction motor using lumped parameter and partial computational fluid dynamics modeling

Published:2018-11 Issue:11 Volume:19 Page:878-888
ISSN:1673-565X
Container-title:Journal of Zhejiang University-SCIENCE A
language:en
Short-container-title:J. Zhejiang Univ. Sci. A

Author:

Chen Wei^ORCID,Wu Gui-chu,Fang You-tong,Ma Ji-en

Funder

National Natural Science Foundation of China

the Fund of Wenzhou Municipal Science and Technology Bureau, China

Publisher

Zhejiang University Press

Subject

General Engineering

Link

http://link.springer.com/content/pdf/10.1631/jzus.A1700649.pdf

Reference29 articles.

1. Bergman TL, Incropera FP, DeWitt DP, et al., 1990. Fundamentals of Heat and Mass Transfer. John Wiley & Sons, USA.

2. Boglietti A, Cavagnino A, 2007. Analysis of the endwinding cooling effects in TEFC induction motors. IEEE Transactions on Industry Applications, 43(5): 1214–1222. https://doi.org/10.1109/TIA.2007.904399

3. Boglietti A, Cavagnino A, Staton D, 2008. Determination of critical parameters in electrical machine thermal models. IEEE Transactions on Industry Applications, 44(4): 1150–1159. https://doi.org/10.1109/TIA.2008.926233

4. Boglietti A, Cavagnino A, Staton D, et al., 2009. Evolution and modern approaches for thermal analysis of electrical machines. IEEE Transactions on Industrial Electronics, 56(3): 871–882. https://doi.org/10.1109/TIE.2008.2011622

5. Chowdhury SK, Baski PK, 2010. A simple lumped parameter thermal model for electrical machine of TEFC design. Joint International Conference on Power Electronics, Drives, and Energy Systems & Power India, p.1–7. https://doi.org/10.1109/PEDES.2010.5712385

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Temperature Rising Model of Tubular Permanent Magnet Linear Synchronous Motor Based on Transfer Learning-Deep Neural Network;2023 42nd Chinese Control Conference (CCC);2023-07-24