EMC models for power electronics: From converter design to system level

Frantz, G.; Frey, David; Schanen, Jean‐Luc; Bishnoi, Hemant; Mattavelli, Paolo; Revol, Bertrand

doi:10.1109/ecce.2013.6647267

Cited by 10 publications

(3 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Time domain analysis can consider the non-linearity of the system if the actual physics-based model of the components, considering the stray elements, are used. However, a high frequency range should be analyzed for conducted emissions and this limits the required time step to small values [81]. The complexity of the system and the small time step along with the required simulation time to reach to the steady state make the time domain analysis time consuming.…”

Section: Simulation Methodologiesmentioning

confidence: 99%

Modeling of Conducted Emissions for EMI Analysis of Power Converters: State-of-the-Art Review

2020

View full text Add to dashboard Cite

Electromagnetic interference issues are associated with high-speed switching of power converters. EMI modeling is an essential tool to study and control the EMI emission, enabling more efficient solutions. A comprehensive review and comparison of different modeling approaches for conducted emissions are provided in this paper, which can be used as a design guideline for engineers. For a motor drive application, common mode and differential mode conducted emissions are studied, and dominant noise production mechanisms are identified. Moreover, a review of various modeling techniques is presented for the main parasitic components of the system. Finally, time domain and frequency domain analysis approaches are explored along with the equivalent circuits which enable fast prediction of EMI emissions. This paper intends to help the reader develop an organized understanding of conducted emission modeling to assist them with a more efficient and electromagnetically-compatible design. INDEX TERMS Circuit modeling, common mode, conducted emission, differential mode, electromagnetic interference (EMI), motor drive inverters.

show abstract

Section: Simulation Methodologiesmentioning

confidence: 99%

Modeling of Conducted Emissions for EMI Analysis of Power Converters: State-of-the-Art Review

2020

View full text Add to dashboard Cite

show abstract

“…There have been many studies on EMI prediction based on the black-box method [2], [3], [4], [5], [6], [7], [8], [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22]. Liu et al proposed an EMI model called the modularterminal-behavioral (MTB) model [3].…”

Section: Introductionmentioning

confidence: 99%

“…A shunt impedance was used to determine the boost converter noise parameters of the noise source, and the noise impedance identification procedure was simplified. Furthermore, that kind of model was extended to system-level modeling in [9], [10], and [11]. The black-box EMI model is seen as a good tool for predicting system-level EMI.…”

Section: Introductionmentioning

confidence: 99%

Conducted Noise Prediction for DC–DC Converter by Noise Source Model Accounting for Switching Fluctuation

Zhang

Iokibe

Toyota

2023

IEEE Trans. Electromagn. Compat.

View full text Add to dashboard Cite

The switching fluctuation of a dc-dc converter causes jitter and makes the conducted noise time-variant. Averaging-mode measurement with an oscilloscope or other instruments partially removes higher-frequency noise. Therefore, switching fluctuation affects the accuracy of noise prediction in using a black-box noise source model with measurement-based parameter identification. To address this issue, we proposed an approach to address the switching fluctuation effect on conducted emissions from the dc-dc converter. First, we investigate the effect of switching fluctuation by studying the difference between noise signals with and without fluctuation and estimating the reduction due to fluctuation. Then, to facilitate model parameter identification, we focus on the peak detected noise signal and improve the prediction accuracy of the peak detected noise by decomposing the measured noise signal into ripple noise and turn-ON and turn-OFF spike noises. As a result, the peak detected noise spectrum after removing switching fluctuation can be predicted within a 3-dB error up to 200 MHz. Our experimental results show that the noise spectrum predicted by accounting for the reduction due to switching fluctuation agrees well with the spectrum obtained by averaging-mode measurement.

show abstract

Identification of the Common Mode Impedance of a DC-DC Buck Converter According to the System Earthing Arrangement

Bensaad

Hadjadj

Ales

et al. 2019

Lecture Notes in Networks and Systems

View full text Add to dashboard Cite

EMC models for power electronics: From converter design to system level

Cited by 10 publications

References 8 publications

Modeling of Conducted Emissions for EMI Analysis of Power Converters: State-of-the-Art Review

Modeling of Conducted Emissions for EMI Analysis of Power Converters: State-of-the-Art Review

Conducted Noise Prediction for DC–DC Converter by Noise Source Model Accounting for Switching Fluctuation

Identification of the Common Mode Impedance of a DC-DC Buck Converter According to the System Earthing Arrangement

Contact Info

Product

Resources

About