A 3-D Winding Structure for Planar Transformers and Its Applications to <i>LLC</i> Resonant Converters

Yu, Ruiyang; Chen, Tianxiang; Liu, Pengkun; Huang, Alex Q.

doi:10.1109/jestpe.2021.3052712

Cited by 31 publications

(3 citation statements)

References 32 publications

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“…During the design and analysis of planar transformers, the winding structure of a planar transformer has an important impact on the prediction of its parasitic parameters [10]. By understanding the winding structure, the geometric characteristics and electrical characteristics of the transformer can be deduced to predict some key parasitic parameters.…”

Section: Windings Structure Model For Planar Transformersmentioning

confidence: 99%

Parasitic Parameter Prediction for Planar Transformers Based on Neural Network

Tan,

Hong,

et al. 2023

J. Phys.: Conf. Ser.

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Parasitic parameters such as leakage inductance and distributed capacitance of planar transformers have a direct impact on the performance and efficiency of transformers. Traditional methods for parasitic parameter prediction are commonly based on empirical formulas or simulation software, but they have problems of high computational complexity, time-consuming and low accuracy. In this paper, a method for predicting parasitic parameters of planar transformers based on a multilayer perceptron (MLP) under a specific winding structure is proposed, which can improve the efficiency of transformer design. The experiments demonstrate that the model can effectively predict the leakage inductance, distributed capacitance, and AC loss of planar transformers.

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Section: Windings Structure Model For Planar Transformersmentioning

confidence: 99%

Parasitic Parameter Prediction for Planar Transformers Based on Neural Network

Tan,

Hong,

et al. 2023

J. Phys.: Conf. Ser.

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“…To solve these problems, as shown in Fig. 15, Yu et al [28] proposed a segmented parallel winding structure. In other words, the distance between different parallel windings close to the air gap was equally divided, which effectively solved the problem of parallel current sharing of multilayer PCB windings.…”

Section: Structural Design Of Pcb Windingsmentioning

confidence: 99%

Overview of Planar Magnetics for High-frequency Resonant Converters

Liu

Song

et al. 2022

Chin. J. Electr. Eng.

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With the continuous development of power supplies toward miniaturization, light weights, and high levels of integration, research on high-frequency resonant conversion based on planar magnetics is becoming extensive. Combining the soft-switching characteristics of resonant converters with those of wide bandgap devices, the switching frequency can be increase to the MHz range, and the power density of the entire system can be improved considerably. However, higher switching frequencies impose new requirements for the structural design, loss distribution, and common mode (CM) noise suppression of passive magnetic components.Herein, a thorough survey of the-state-of-the-art of planar magnetics in high-frequency resonant converters is conducted. Printed circuit board winding-based planar magnetics, magnetic integration, and power-loss optimization strategies are summarized in detail.Suppression methods for CM noise in high-frequency planar magnetics are also clarified and discussed. An insight view into the future development of planar magnetics for high-frequency resonant converters is presented.

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“…Ensuring current distributes evenly between paralleled turns is becoming increasingly necessary, requiring the use of specialized transformer designs to ensure even distribution [5]- [7]. Note that in [5] and [7], these strategies are used despite operation in the hundreds of kHz, well under the skin depth limit.…”

Section: Introductionmentioning

confidence: 99%

Modeling Current Distribution Within Conductors and Between Parallel Conductors in High-Frequency Magnetics

Solomentsev

Hanson

2022

IEEE Open J. Power Electron.

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In both planar and wire-wound transformers, large copper cross-sections and parallel windings are often used to increase conduction area and decrease copper loss. However, at high frequency, current is not guaranteed to spread out maximally over the cross-section of a single conductor or to split evenly between parallel conductors. Finite element analysis (FEA) and SPICE-based systems have been used to analyze current distribution within magnetic components, but these methods are computationally intensive. In this paper, we show that Maxwell's equations, in the high frequency limit, yield a set of linear algebraic equations that are rapidly solvable to yield both the current and magnetic field distribution and hence can be used to predict loss and leakage inductance. Due to its simplicity, this method is easily applied to cases with a one-dimensional or two-dimensional distribution of current. We show that predicted results match both FEA simulations and experimental measurements very accurately for a variety of cases. This paper is accompanied by several software implementations of the method. This method can be used to rapidly analyze high frequency current distribution in transformers and can easily be integrated into numerical optimization algorithms.

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A 3-D Winding Structure for Planar Transformers and Its Applications to LLC Resonant Converters

Cited by 31 publications

References 32 publications

Parasitic Parameter Prediction for Planar Transformers Based on Neural Network

Parasitic Parameter Prediction for Planar Transformers Based on Neural Network

Overview of Planar Magnetics for High-frequency Resonant Converters

Modeling Current Distribution Within Conductors and Between Parallel Conductors in High-Frequency Magnetics

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