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Human-motion energy harvester for autonomous body area sensors

Abstract : This paper reports on a method to optimize an electromagnetic energy harvester converting the low-frequency body motion and aimed at powering wireless body area sensors. This method is based on recorded accelerations, and mechanical and transduction models that enable an efficient joint optimization of the structural parameters. An optimized prototype of 14.8 mmO x. 52 mm, weighting 20 g, has generated up to 4.95mW in a resistive load when worn at the arm during a run, and 6.57mW when hand-shaken. Among the inertial electromagnetic energy harvesters reported so far, this one exhibits one of the highest power densities (up to 730 mu W cm(-3)). The energy harvester was finally used to power a bluetooth low energy wireless sensor node with accelerations measurements at 25 Hz.
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https://hal-cea.archives-ouvertes.fr/cea-02202417
Contributor : Marianne Leriche <>
Submitted on : Wednesday, July 31, 2019 - 4:33:47 PM
Last modification on : Thursday, June 11, 2020 - 5:04:09 PM

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M. Geisler, S. Boisseau, M. Perez, P. Gasnier, J. Willemin, et al.. Human-motion energy harvester for autonomous body area sensors. Smart Materials and Structures, IOP Publishing, 2017, 26 (3), ⟨10.1088/1361-665X/aa548a⟩. ⟨cea-02202417⟩

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