2019
DOI: 10.1109/tasc.2019.2891682
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Modeling of Mutual Inductance Between Superconducting Pancake Coils Used in Wireless Power Transfer (WPT) Systems

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Cited by 20 publications
(14 citation statements)
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“…Various analytical models and calculation methods for the mutual inductance between two coils are presented in existing works [32]- [34]. Ferrite cores and aluminum plates are commonly used in practical wireless charging systems, but there is little research on mutual inductance modeling that considers these factors.…”
Section: A Mutual Inductance Modelingmentioning
confidence: 99%
“…Various analytical models and calculation methods for the mutual inductance between two coils are presented in existing works [32]- [34]. Ferrite cores and aluminum plates are commonly used in practical wireless charging systems, but there is little research on mutual inductance modeling that considers these factors.…”
Section: A Mutual Inductance Modelingmentioning
confidence: 99%
“…The analytical method has remarkable advantages over the other methods due to its time-saving analysis and cost effectiveness. Though many studies have been carried out to compute self-and mutual inductances of WPT system coils for circular [8][9][10][11] and square structures [12][13][14], few studies have been published regarding rectangular [15,16] and DD power coils [17]. An analytical method to compute self-and mutual inductances of spiral rectangular coils is presented in [18].…”
Section: Introductionmentioning
confidence: 99%
“…As mentioned before, the MCR-WPT system employing traditional linear resonators is vulnerable to frequency misalignment and working frequency drift. Several methods have been reported to enhance the stability of output voltage in the case of high efficiency operation such as frequency tracking [7], [11], load impedance matching [12], [13], resonator impedance matching [14], [15] and coupling manipulation [16], [17]. It has been shown that the resonance can be maintained with the above theories.…”
Section: Introductionmentioning
confidence: 99%