2012
DOI: 10.1049/el.2012.0012
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Efficiency improvement for magnetic resonance based wireless power transfer with axial-misalignment

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Cited by 66 publications
(29 citation statements)
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“…In Ref. 21, an adaptive method was presented to improve the transmission efficiency of the MCR-WPT system with axial misalignment, but the angular misalignment was not considered. This paper focused on the effects of the lateral misalignment and the angular misalignment on the transmission efficiency of the MCR-WPT system.…”
Section: Introductionmentioning
confidence: 99%
“…In Ref. 21, an adaptive method was presented to improve the transmission efficiency of the MCR-WPT system with axial misalignment, but the angular misalignment was not considered. This paper focused on the effects of the lateral misalignment and the angular misalignment on the transmission efficiency of the MCR-WPT system.…”
Section: Introductionmentioning
confidence: 99%
“…In [13] an optimization technique to improve the efficiency of a WPT system in a lateral misalignment scenario was presented, in which demonstrated 48.4% efficiency was achieved with an adaptive matching network, but did not provide any solution for angular and rotational misalignment. The authors of [14] introduced analytical derivation for nearfield power transfer efficiency of loosely coupled inductive links with lateral and angular coil misalignment for three different coil geometries and scenarios, however this did not provide any solution for lateral, angular and rotational misalignment.…”
Section: Introductionmentioning
confidence: 99%
“…However, [18] did not provide any solution for angular misalignment. Analytical formulations for the power transfer efficiencies of loosely coupled inductive links under lateral and angular coil misalignment were presented in [19].…”
Section: Discussionmentioning
confidence: 99%
“…An optimization technique for improving the efficiency of SCMR systems under lateral misalignment was presented in [18]. Specifically, 48.4% efficiency was achieved by using an adaptive matching network.…”
Section: Discussionmentioning
confidence: 99%
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