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Your search keyword '"Huang, Yunkai"' showing total 15 results
Start Over Author "Huang, Yunkai" Journal ieee transactions on industrial electronics
15 results on '"Huang, Yunkai"'

3. Magnetic Field Prediction in Cubic Spoke-Type Permanent-Magnet Machine Considering Magnetic Saturation

Author

Du, Yunlu, Huang, Yunkai, Guo, Baocheng, Djelloul-Khedda, Zakarya, Peng, Fei, Yao, Yu, and Dong, Jianning

Abstract

In this article, a nonlinear semianalytical model (SAM) is presented to predict the magnetic field distribution (MFD) and electromagnetic performances (EPs) in the cubic spoke-type permanent magnet (PM) machine. To model the rectangular PMs, the rectangular PM is simplified as a combination of fan-shaped regions with different arc angles. Then, the MFD and EPs of the cubic spoke-type machines can be obtained by the harmonic modeling technique. Particularly, the saturation of the magnetic bridges is considered by the nonlinear iterative algorithm. The proposed nonlinear SAM is studied on a 12-slot/8-pole cubic PM prototype, and the nonlinear finite element model and experiment verify its correctness. The main contribution of this article is to present a general analytical modeling method for cubic spoke-type PM machines and consider the magnetic saturation of magnetic bridges.

Published
2024
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8. A Capacitance Estimation Method for DC-Link Capacitors Based on Pre-Charging Model and Noise Evaluation

Author

Wu, Xun, Li, Kaidi, Yu, Tianjian, Cheng, Shu, Huang, Yunkai, Hu, Yusong, and Chen, Chunyang

Abstract

DC-link capacitor is one of the significant parts of traction converters. Due to the impact of electrical stress, high temperature and humidity, its capacitance degrades faster than expected. Accurate capacitance estimation is critical to the condition monitoring of DC-link capacitors, which is also the basis of online capacitor life prediction. Currently, there is a big challenge for capacitor capacitance estimation in railway applications. The noise fluctuation of the voltage sensor may be nearly equal to that of ripple voltage, leading to the considerable errors of the existing capacitor condition monitoring methods. Therefore, a capacitance estimation method based on precharging model and noise evaluation is proposed in this article. The capacitance is estimated by improved recursive extended least square. The influence of the noise can be effectively reduced and both the calculation accuracy and convergence speed can be well guaranteed through an independent noise estimation model. The proposed method has good immunity in a certain range of signal-noise ratio or signal bias. It shows good performance in experiments.

Published
2023
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