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Proceedings Paper

Evaluation of human-scale motion energy harvesting for wearable electronics
Author(s): Bharat Kathpalia; David Tan; Ilan Stern; Alper Erturk
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Paper Abstract

We explore the potential of human-scale motion energy harvesting toward enabling self-powered wearable electronic components to avoid the burden of battery replacement and charging in next-generation wireless applications. The focus in this work is piezoelectric transduction for converting human motion into electricity. Specifically, we explore three piezoelectric energy harvesting approaches experimentally and numerically: (1) Direct base excitation of a cantilevered bimorph configuration without/with a tip mass; (2) plucking of a bimorph cantilever using a flexible/nonlinear plectrum; and (3) direct force excitation of a curved unimorph. In all cases, electromechanical models are developed and experimental validations are also presented. Specifically a nonlinear plectrum model is implemented for the plucking energy harvester. Average power outputs are on the order 10-100 uW and can easily exceed mW in certain cases via design optimization.

Paper Details

Date Published: 17 April 2017
PDF: 10 pages
Proc. SPIE 10164, Active and Passive Smart Structures and Integrated Systems 2017, 101641H (17 April 2017); doi: 10.1117/12.2260385
Show Author Affiliations
Bharat Kathpalia, Georgia Institute of Technology (United States)
Georgia Tech Research Institute (United States)
David Tan, Georgia Institute of Technology (United States)
Ilan Stern, Georgia Tech Research Institute (United States)
Alper Erturk, Georgia Institute of Technology (United States)


Published in SPIE Proceedings Vol. 10164:
Active and Passive Smart Structures and Integrated Systems 2017
Gyuhae Park, Editor(s)

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