2020
DOI: 10.1109/tmag.2020.3024158
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Recursive Domain Decomposition Approach in 2-D Time-Harmonic Wireless Power Transfer Simulations Considering Litz Wires

Abstract: A recursive domain decomposition approach based on 2-D time-harmonic finite element (FE) model with AVI formulation is used to model a wireless power transfer (WPT) unit with litz wires. Similar techniques exist in the literature but they haven't yet been applied to WPT units. The approach produces a model which is significantly faster to update and resolve than a traditional FE model and hence it is suitable for performing parametric sweeps where the positioning of the coils is varied. Using the technique it … Show more

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Cited by 1 publication
(2 citation statements)
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“…6). This graph does not include models based on the combination of finite element and experimental results [35], reduced order models [36], [37], [38], [39], [40], [41], [42], homogenization method [43], and modelling based on complex permeability [44]. In the literature, proximity effect losses are quantified using formulations based on current density, equivalent AC resistance, or external magnetic flux density.…”
Section: B Models In the Literaturementioning
confidence: 99%
See 1 more Smart Citation
“…6). This graph does not include models based on the combination of finite element and experimental results [35], reduced order models [36], [37], [38], [39], [40], [41], [42], homogenization method [43], and modelling based on complex permeability [44]. In the literature, proximity effect losses are quantified using formulations based on current density, equivalent AC resistance, or external magnetic flux density.…”
Section: B Models In the Literaturementioning
confidence: 99%
“…There exist other types of models to evaluate AC losses in conductors: models based on the combination of finite element and experimental results [35], reduced order models [36], [37], [38], [39], [40], [41], [42], homogenization method [43], and modelling based on complex permeability [44]. These models are not included in this paper.…”
Section: Introductionmentioning
confidence: 99%