2023
DOI: 10.1109/access.2023.3242869
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A New Optimization Method for Gapped and Distributed Core Magnetics in LLC Converter

Abstract: LLC converter design optimization remains a challenging task for varying loads such as in battery chargers. There are numerous L-L-C combinations to choose from a design space that can satisfy the required voltage gains of the application. An accurate magnetic model is essential to optimally size the passive components according to the application needs. This paper provides a new design tool for gapped core magnetics to optimize the transformer and resonant inductor in LLC converters. Unlike conventional desig… Show more

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Cited by 6 publications
(3 citation statements)
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References 31 publications
(45 reference statements)
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“…The power loss includes core loss, temperature dependent copper loss, and AC winding loss due to the skin effect. More information on the magnetic design for gapped cores can be found in [25].…”
Section: Transformer and Resonance Inductor Designmentioning
confidence: 99%
“…The power loss includes core loss, temperature dependent copper loss, and AC winding loss due to the skin effect. More information on the magnetic design for gapped cores can be found in [25].…”
Section: Transformer and Resonance Inductor Designmentioning
confidence: 99%
“…The DM filter size, boost inductor volume, and inductor power loss variations with respect to switching frequency variations are shown in Fig. 10 for CCM TP PFC variants, where the inductors are designed using the framework presented in [24]. According to this, the inductor design is optimized based on volume and losses.…”
Section: B Dm Filter and Boost Inductor Volume Comparisons Of Ccm Tp ...mentioning
confidence: 99%
“…For example, a study detailed in [15] presents a systematic design framework for LLC converters that optimizes resonance frequency and switching frequency limits, ensuring required voltage gains across various quality factors. Similarly, [16] introduces a design tool for gapped core magnetics in LLC converters, selecting the optimal magnetic flux density by minimizing a fitness function that encompasses power loss, cost, and volume, leveraging the Big-Bang Big-Crunch Algorithm.…”
Section: Introductionmentioning
confidence: 99%