2019
DOI: 10.3390/en12101991
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Influence of Power Losses in the Inductor Core on Characteristics of Selected DC–DC Converters

Abstract: The paper presents the results of a computer simulation illustrating the influence of power losses in the core of an inductor based on the characteristics of buck and boost converters. In the computations, the authors’ model of power losses in the core is used. Correctness of this model is verified experimentally for three different magnetic materials. Computations are performed with the use of this model and the Excel software for inductors including cores made of ferrite, powdered iron, and nanocrystalline m… Show more

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Cited by 17 publications
(10 citation statements)
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“…Another alternative is the model proposed by Gorécki given by Equation ( 26 ) in [ 124 , 125 ], which includes 20 parameters. Those are divided into three groups: electrical parameters, magnetic parameters, and thermal parameters.…”
Section: General Core Losses Modelsmentioning
confidence: 99%
“…Another alternative is the model proposed by Gorécki given by Equation ( 26 ) in [ 124 , 125 ], which includes 20 parameters. Those are divided into three groups: electrical parameters, magnetic parameters, and thermal parameters.…”
Section: General Core Losses Modelsmentioning
confidence: 99%
“…[6] proposes an electrothermal model of the inductor to analyze a boost converter; it highlights that an accurate knowledge of losses in the inductor is required. The same authors explain in [7] how losses in the inductor influence the converter performance, whereas [8] proposes a 2-D model of the inductor to reduce the computational load. Ref.…”
Section: Introductionmentioning
confidence: 99%
“…Different from [18], the proposed approach can be generalized for power inductors; it is cheaper compared to [22], which uses a temperature chamber, and a commercial system such as [25] and can be built for laboratory purposes. The inductor thermal behavior and modeling are relevant to the DC/DC converter and EMI filter design [23,24,[29][30][31]. Our contribution addresses this issue since the characterization always takes into account the temperature measured on the core.…”
Section: Introductionmentioning
confidence: 99%