2010 Twenty-Fifth Annual IEEE Applied Power Electronics Conference and Exposition (APEC) 2010
DOI: 10.1109/apec.2010.5433361
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Black-box modeling of DC-DC converters based on transient response analysis and parametric identification methods

Abstract: Today, "black-box" behavioral models of power converters are becoming interesting for system-level analysis. These models can be used to evaluate the response of power electronics systems which are composed of commercial converters, since they can be fully parameterized by analyzing the actual converter response. In this paper a new identification method of "black box" models for DC-DC converters is presented. This method is based on the analysis of the step transient response of the converter, which is obtain… Show more

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Cited by 39 publications
(34 citation statements)
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“…A similar investigation has been reported in [1] but is focused on more traditional switch mode power supplies. This work extends that investigation into the PwrSoC realm of power conversion technologies.…”
Section: Introductionmentioning
confidence: 68%
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“…A similar investigation has been reported in [1] but is focused on more traditional switch mode power supplies. This work extends that investigation into the PwrSoC realm of power conversion technologies.…”
Section: Introductionmentioning
confidence: 68%
“…As suggested by [1], system identification from transient response data requires that two experimental tests be conducted, namely, the input terminal excitation test and the output terminal excitation test. Each test is conducted over a wide set of operating conditions that are defined by the input voltage, output voltage, and output current.…”
Section: A Transient Testmentioning
confidence: 99%
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“…This modeling is very well understood and applied to dc-dc converters [6][7][8][9][10] due to the easiness of performing small-signal measurements and existence of the operating point. This concept has even been further extended to address nonlinear behavior [11,12] and EMI [13,14].…”
Section: Introductionmentioning
confidence: 99%