Authors: Byung C Jung Heonjun Yoon Hyunseok Oh Guesuk Lee Minji Yoo Byeng D Youn Young Chul Huh
Publish Date: 2015/08/29
Volume: 53, Issue: 1, Pages: 161-173
Abstract
Piezoelectric energy harvesting which scavenges electric power from ambient vibration energy has received significant attention as an ultimate solution to realize selfpowered wireless sensors For designing a piezoelectric energy harvester it is of great importance to develop a highfidelity electromechanical model which predicts the output power under various vibration conditions To the best of our knowledge however there has been no systematic approach to account for variability in the material properties and geometry of a piezoelectric energy harvester This paper thus presents 1 the hierarchical model calibration to improve the predictive capability of the electromechanical model and 2 the design of energy harvesting EH skin to maximize the output power to reliably operate selfpowered wireless sensors In this study the hierarchical model calibration infers statistical information of unknown model variables compliance piezoelectric strain coefficient and relative permittivity The calibrated electromechanical model is then used to design EH skin based on the piezoelectric material segmentation to avoid voltage cancellation The output power predicted by the calibrated electromechanical model is statistically compared with the measured one Finally it is concluded from the feasibility demonstration that EH skin can sufficiently generate the output power to realize selfpowered wireless sensors without batteries
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