2021
DOI: 10.1002/cta.3147
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Nonlinear models of power inductors: A survey

Abstract: Summary Switch‐mode power supplies (SMPSs) are widely exploited to interface electrical energy sources to motors and other electrical loads. Inductors are usually the biggest and heaviest components in SMPSs, limiting their overall power density. Therefore, there is an increasing interest in designing SMPSs with partially saturating inductors, because this significantly reduces their weight and size, thus increasing power density. This paper provides a review of nonlinear behavioral models (based on easy‐to‐me… Show more

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Cited by 13 publications
(4 citation statements)
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References 97 publications
(221 reference statements)
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“…Power loss that occurs in an inductor is splited as core loss (P core ) and winding loss(P w ) 49,50 4.4.1 | Core loss (P core ) Core loss is obtained by the Steinmetz empirical equation as follows: 50…”
Section: Charging Inductor Loss (P Lch )mentioning
confidence: 99%
See 1 more Smart Citation
“…Power loss that occurs in an inductor is splited as core loss (P core ) and winding loss(P w ) 49,50 4.4.1 | Core loss (P core ) Core loss is obtained by the Steinmetz empirical equation as follows: 50…”
Section: Charging Inductor Loss (P Lch )mentioning
confidence: 99%
“…Power loss that occurs in an inductor is splited as core loss ( P core ) and winding loss( P w ) 49,50 …”
Section: Calculation Of Power Lossesmentioning
confidence: 99%
“…Passive components, such as capacitors, inductors, and resistors, are widely used in various electronic systems, [1][2][3][4] and play important roles in tuning, coupling, filtering, frequency selection, current limiting, voltage dividing, and other functional circuits. Due to the development trend of miniaturization, integration, and multi-function, the electromagnetic environment inside electronic systems is becoming more and more complex, which often gives rise to electromagnetic compatibility (EMC) problems.…”
Section: Introductionmentioning
confidence: 99%
“…Among the other analytical models, summarized by [25], the neural model proposed in [26] provides very good results with few hidden neurons; however, the learning dataset required 250 points provided by manufacturers at a constant temperature. The piecewiseaffine formulation [27] improves the use of the computational resources of [28].…”
Section: Introductionmentioning
confidence: 99%