7 Papers
Cong Deng is an academic researcher from Huazhong University of Science and Technology. The author has contributed to research in topics: Computer science & Magnetic bearing. The author has an hindex of 1, co-authored 3 publications.
Chat about Author
Papers
A Novel Permanent Magnet Linear Motor for the Application of Electromagnetic Launch System
TL;DR: The thrust performance indexes of the novel PMLSM are estimated and compared with the conventional surface-mounted PMLSS, which indicates that the proposed PM LSM can keep similar performances with the exciting PMLSm.
29
Research of a Stator PM Excitation Solid Rotor Machine for Flywheel Energy Storage System
Caiyong Ye,Dezuan Yu,K. Liu,Yong-Xia Dai,Cong Deng,Jiangtao Yang,Jianping Zhang +6 more
TL;DR: In this article , a stator PM excitation solid rotor machine (SPE-SRM) for flywheel energy storage system is presented, which integrates an electrical machine, flywheels, and a magnetic bearing.
11
Study on a Novel Hybrid Thermal Network of Homopolar Inductor Machine
Caiyong Ye,Cong Deng,Jiangtao Yang,Yongzihao Dai,Dezuan Yu,Jianping Zhang +5 more
- 01 Mar 2023
TL;DR: In this article , the authors proposed a hybrid thermal model and coupled iterative analysis method to predict the temperature of a homopolar inductor machine (HIM) applied in a flywheel energy storage system.
6
Investigation on the Method for Reducing the Time Constant of Exciting Winding of Homopolar Inductor Machine
Jiangtao Yang,Qing Li,Cong Deng,Xiao Guang Qi,Caiyong Ye,Jin Yi,Shoudao Huang +6 more
- 01 Jun 2023
TL;DR: In this paper , a mathematical model of the time constant of exciting winding is established based on the equivalent circuit method, and several methods are proposed and analyzed to reduce the time constants of the winding.
4
Calculation and Verification of Magnetic Force in a Radial Permanent Magnetic Bearing based on Quasi-Monte Carlo Method
Yuanhao Du,Caiyong Ye,Cong Deng,Dezuan Yu,Fei Xiong,Jianping Zhang +5 more
- 01 Nov 2020
TL;DR: In this paper, the authors proposed to solve the multidimensional integral by using a sequence of low-discrepancy irrational numbers that are more uniform than the randomly generated point distribution to avoid aliasing of projections and have a faster rate of convergence.
3