TY - GEN
T1 - A Load-variable Noise-source Equivalent Circuit Model for DC-DC Converter Considering Cubic Spline Interpolaion
AU - Zhang, Shuqi
AU - Iokibe, Kengo
AU - Toyota, Yoshitaka
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The black-box models have been proposed to predict electromagnetic interference from power electronic devices owing to their modeling simplicity. During the modeling process, the load value is normally kept fixed so that the device can perform almost linearly since the load variation changes the switching conditions of the power supply and the nonlinear performance occurs. This work examines the accuracy of predicted interference voltages by using a black-box model, a measurement-based 2-port equivalent circuit model for a DC-DC buck converter considering the load effect. Then a numerical fitting tool, cubic spline interpolation is applied to identify the parameters noise-source equivalent circuit without measuring at the same load value. As a result, it is found that the input port noise source predicted by cubic spline interpolation has a good agreement with parameter identification result.
AB - The black-box models have been proposed to predict electromagnetic interference from power electronic devices owing to their modeling simplicity. During the modeling process, the load value is normally kept fixed so that the device can perform almost linearly since the load variation changes the switching conditions of the power supply and the nonlinear performance occurs. This work examines the accuracy of predicted interference voltages by using a black-box model, a measurement-based 2-port equivalent circuit model for a DC-DC buck converter considering the load effect. Then a numerical fitting tool, cubic spline interpolation is applied to identify the parameters noise-source equivalent circuit without measuring at the same load value. As a result, it is found that the input port noise source predicted by cubic spline interpolation has a good agreement with parameter identification result.
KW - conducted emissions
KW - cubic spline interpolation
KW - DC-DC converter
KW - load variable
KW - noise-source equivalent circuit model
KW - waveform decomposition
UR - http://www.scopus.com/inward/record.url?scp=85148683901&partnerID=8YFLogxK
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U2 - 10.1109/ICSJ55786.2022.10034727
DO - 10.1109/ICSJ55786.2022.10034727
M3 - Conference contribution
AN - SCOPUS:85148683901
T3 - 2022 IEEE CPMT Symposium Japan, ICSJ 2022
SP - 154
EP - 157
BT - 2022 IEEE CPMT Symposium Japan, ICSJ 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IEEE CPMT Symposium Japan, ICSJ 2022
Y2 - 9 November 2022 through 11 November 2022
ER -