2019
DOI: 10.1016/j.enconman.2018.11.037
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Design, modeling and experimental verification of circular Halbach electromagnetic energy harvesting from bearing motion

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Cited by 116 publications
(28 citation statements)
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“…This works 61.3 μW power with 1 Hz frequency, which is greater than the upsprung rotor part. Zhang et al [59] present EMEH using the circular Halbach array Method from bearing motion. The design utilizes the rotational speed is varied from 600-1000rpm by consumes the average power of 50.8-131.1 mW with a harvested output voltage of 2.79 V-4.59 V. Fan et al [60] present the EMEH using nonlinear two-degree freedom features for human body motions.…”
Section: Electromagnetic Energy Harvesting (Emeh)mentioning
confidence: 99%
“…This works 61.3 μW power with 1 Hz frequency, which is greater than the upsprung rotor part. Zhang et al [59] present EMEH using the circular Halbach array Method from bearing motion. The design utilizes the rotational speed is varied from 600-1000rpm by consumes the average power of 50.8-131.1 mW with a harvested output voltage of 2.79 V-4.59 V. Fan et al [60] present the EMEH using nonlinear two-degree freedom features for human body motions.…”
Section: Electromagnetic Energy Harvesting (Emeh)mentioning
confidence: 99%
“…Wang [25] proposed a circular Halbach array magnetic disk, which was used in a natural-frequency self-tuning energy harvester. Zhang [26,27] proposed a circular Halbach array for monitoring the health condition of bearings. Because of the low fabrication cost, 16 cubic magnets instead of arc-shaped magnets were embedded in a ring area to form a Halbach array.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, with the rapid development of low-power communication and microelectronics technologies, more and more low-power consumption sensors are applied widely in a variety of industrial occasions [1][2][3]. As a sustainable energy supply method, the vibration energy harvesting technology has attracted plenty of scholars to investigate the huge potential in many significant occasions, such as mechanical structure health monitoring, vehicle tire pressure monitoring, IoT and human health monitoring [4][5][6][7][8][9][10].…”
Section: Introductionmentioning
confidence: 99%