Modeling and Characterization of a Curved Piezoelectric Energy Harvester for Smart Paver Tiles

Bharat Kathpalia, David Tan, Ilan Stern, Francisco Valdes, Seonghoon Kim, Alper Erturk

Research output: Contribution to journalConference articlepeer-review

12 Scopus citations

Abstract

The transformation of vibrations into low-power electricity has received growing attention over the past couple of decades. The goal in this research field is to power wireless sensors and other small electronic components by harvesting ambient mechanical energy. Piezoelectricity is arguably the most popular transduction mechanism for converting mechanical vibrations into electrical energy. As a promising concept of piezoelectric energy conversion, smart paver tiles are proposed to harness human steps for energy harvesting and a wide range of critical sensing applications ranging from security to healthcare. In this work, we explore the use of a curved piezoelectric transducer (specifically a THUNDER® configuration) for smart paver tiles both analytically and experimentally. Following the description of the smart paver tiles developed, an analytical model is developed and closed-form electromechanical frequency response functions are obtained. Experiments are performed for a range of excitation frequencies (1-10Hz), electrical load resistance values, and low force levels. It is shown that the first-order electromechanical model successfully represents the governing dynamics.

Original languageEnglish
Pages (from-to)1060-1066
Number of pages7
JournalProcedia Computer Science
Volume109
DOIs
StatePublished - 2017
Event8th International Conference on Ambient Systems, Networks and Technologies, ANT 2017 and 7th International Conference on Sustainable Energy Information Technology, SEIT 2017 - Madeira, Portugal
Duration: May 16 2017May 19 2017

Keywords

  • energy harvesting
  • Piezoelectricity
  • sensing
  • THUNDER®
  • vibration

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