Paper
17 April 2017 Evaluation of human-scale motion energy harvesting for wearable electronics
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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.
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Bharat Kathpalia, David Tan, Ilan Stern, and Alper Erturk "Evaluation of human-scale motion energy harvesting for wearable electronics", Proc. SPIE 10164, Active and Passive Smart Structures and Integrated Systems 2017, 101641H (17 April 2017); https://doi.org/10.1117/12.2260385
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KEYWORDS
Resistance

Energy harvesting

Data modeling

Electronic components

Electronics

Electromechanical design

Mechanical engineering

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