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Cited by 361

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Energy Scavenging From Low-Frequency Vibrations by Using Frequency Up-Conversion for Wireless Sensor Applications

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Kulah, Haluk, Najafi, Khalil·2008·IEEE Sensors Journal

Abstract

This paper presents an electromagnetic (EM) vibration-to-electrical power generator for wireless sensors, which can scavenge energy from low-frequency external vibrations. For most wireless applications, the ambient vibration is generally at very low frequencies (1-100 Hz), and traditional scavenging techniques cannot generate enough energy for proper operation. The reported generator up-converts low-frequency environmental vibrations to a higher frequency through a mechanical frequency up-converter using a magnet, and hence provides more efficient energy conversion at low frequencies. Power is generated by means of EM induction using a magnet and coils on top of resonating cantilever beams. The proposed approach has been demonstrated using a macroscale version, which provides 170 nW maximum power and 6 mV maximum voltage. For the microelectromechanical systems (MEMS) version, the expected maximum power and maximum voltage from a single cantilever is 3.97 muW and 76 mV, respectively, in vacuum. Power level can be increased further by using series-connected cantilevers without increasing the overall generator area, which is 4 mm2. This system provides more than an order of magnitude better energy conversion for 10-100 Hz ambient vibration range, compared to a conventional large mass/coil system.

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Metadata

Authors
Kulah, H., & Najafi, K.
Venue
IEEE Sensors Journal
Published
2008
Volume
8
Issue
3
Pages
261-268
ISSN
1530-437X (ISSN-L)
OpenAlex
W2130513250
Cited by
361
References
0
FWCI
39.83
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Energy Scavenging From Low-Frequency Vibrations by Using Frequency Up-Conversion for Wireless Sensor Applications. https://app.cochat.ai/papers/10.1109/jsen.2008.917125
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Kulah, H., & Najafi, K. (2008). Energy Scavenging From Low-Frequency Vibrations by Using Frequency Up-Conversion for Wireless Sensor Applications. IEEE Sensors Journal. https://doi.org/10.1109/jsen.2008.917125

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.