Equivalent Noise Source: An Effective Method for Analyzing Common-Mode Noise in Isolated Power Converters

2016 ◽  
Vol 63 (5) ◽  
pp. 2913-2924 ◽  
Author(s):  
Lihong Xie ◽  
Xinbo Ruan ◽  
Zhihong Ye
2020 ◽  
Vol 67 (9) ◽  
pp. 7499-7508 ◽  
Author(s):  
Javier Samanes ◽  
Eugenio Gubia ◽  
Xabier Juankorena ◽  
Carlos Girones
Keyword(s):  

Electronics ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 480
Author(s):  
Shuaitao Zhang ◽  
Baihua Zhang ◽  
Qiang Lin ◽  
Eiji Takegami ◽  
Masahito Shoyama ◽  
...  

As an effective means of suppressing electromagnetic interference (EMI) noise, the impedance balancing technique has been adopted in the literature. By suppressing the noise source, this technique can theoretically reduce the noise to zero. Nevertheless, its effect is limited in practice and also suffers from noise spikes. Therefore, this paper introduces an accurate frequency modeling method to investigate the attenuation degree of noise source and redesign the impedance selection accordingly in order to improve the noise reduction capability. Based on a conventional boost converter, the common mode (CM) noise model was built by identifying the noise source and propagation paths at first. Then the noise source model was extracted through capturing the switching voltage waveform in time domain and then calculating its Fourier series in frequency domain. After that, the conventional boost converter was modified with the known impedance balancing techniques. This balanced circuit was analyzed with the introduced modeling method, and the equivalent noise source was precisely estimated by combining the noise spectra and impedance information. Furthermore, two optimized schemes with redesigned impedances were proposed to deal with the resonance problem. A hardware circuit was designed and built to experimentally validate the proposed concepts. The experimental results demonstrate the feasibility and effectiveness of the proposed schemes.


2021 ◽  
Vol 36 (1) ◽  
pp. 391-400
Author(s):  
Lihong Xie ◽  
Xinbo Ruan ◽  
Haonan Zhu ◽  
Yu-Kang Lo
Keyword(s):  

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