Human-motion energy harvester for autonomous body area sensors
| Autor: | Simon Perraud, Sébastien Boisseau, Jerome Willemin, I Ait-Ali, Matthias Perez, P. Gasnier, M. Geisler |
|---|---|
| Přispěvatelé: | Commissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information (CEA-LETI), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Laboratoire d'Innovation pour les Technologies des Energies Nouvelles et les nanomatériaux (LITEN), Institut National de L'Energie Solaire (INES), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS) |
| Rok vydání: | 2017 |
| Předmět: |
energy harvesting
010302 applied physics Computer science Acoustics Body area electromagnetic conversion 02 engineering and technology 021001 nanoscience & nanotechnology Condensed Matter Physics Human motion low-frequency 7. Clean energy 01 natural sciences Atomic and Molecular Physics and Optics Energy harvester [SPI]Engineering Sciences [physics] body area sensor nodes Mechanics of Materials 0103 physical sciences Signal Processing General Materials Science Electrical and Electronic Engineering 0210 nano-technology Civil and Structural Engineering |
| Zdroj: | Smart Materials and Structures Smart Materials and Structures, IOP Publishing, 2017, 26 (3), ⟨10.1088/1361-665X/aa548a⟩ Smart Materials and Structures, 2017, 26 (3), ⟨10.1088/1361-665X/aa548a⟩ |
| ISSN: | 1361-665X 0964-1726 |
| Popis: | International audience; 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. |
| Databáze: | OpenAIRE |
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