2020
DOI: 10.1109/tmag.2020.3024734
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Analytical Force and Flux for a 1-D Electromagnetic Vibration Energy Harvester

Abstract: A Vibration Energy Harvester (VEH) converts the kinetic energy of a moving source into electrical energy. Here we consider a one-dimensional electromagnetic vibration energy harvester (1D-EMVEH) which consists of three coaxial cylindrical permanent magnets enclosed in a tube, such that the middle magnet is levitating. The resulting movement of the middle magnet can then induce an electromotive force (emf) in one or more surrounding coils. Using an analytical model, we derive expressions for the 1D-EMVEHs chara… Show more

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Cited by 21 publications
(17 citation statements)
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References 21 publications
(37 reference statements)
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“…We have implicitly assumed that the magnetization is uniform within each magnet and independent of the magnetic field experienced by the magnets. However, we emphasize that this procedure for computing the force expression has been experimentally validated 16 , and that these two assumptions have been verified to be realistic enough for the system under consideration.…”
Section: Theory and Modellingmentioning
confidence: 94%
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“…We have implicitly assumed that the magnetization is uniform within each magnet and independent of the magnetic field experienced by the magnets. However, we emphasize that this procedure for computing the force expression has been experimentally validated 16 , and that these two assumptions have been verified to be realistic enough for the system under consideration.…”
Section: Theory and Modellingmentioning
confidence: 94%
“…In this section we consider the interaction between the floating magnet and the two fixed magnets. The force between two coaxial cylindrical uniformly-magnetized magnets has previously been obtained through a Fourier approach 16 19 . This approach consists of employing the Fourier transform to evaluate over the reciprocal space the integral of the dipole-dipole interaction energy density between the magnets using a specific shape function.…”
Section: Theory and Modellingmentioning
confidence: 99%
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