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DOI: 10.14569/IJACSA.2022.0130542
PDF

Parameter Optimization of Nonlinear Piezoelectric Energy Harvesting System for IoT Applications

Author 1: Li Wah Thong
Author 2: Swee Leong Kok
Author 3: Roszaidi Ramlan

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 5, 2022.

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Abstract: The vibrational energy harvesting has been essentially applied to power up low-power electronics, microsystems, and wireless sensors especially in the areas of Internet of Things (IoT) devices. This paper investigates the prospect of incorporating nonlinearity in a unimorph piezoelectric cantilever beam with a tip magnet placed under a harmonic base excitation in IoT enabled environment. An empirical and theoretical analysis on the impact of various parameters such as spacing distance between magnets, presence of magnetic tip mass and positioning of vibrational source on the frequency response output was performed. It was observed that the largest spectrum of frequency can be produced when at the lowest resonant frequency of the cantilever. The positioning of vibrational source deeply impacts the hysteresis region and frequency range in realizing broadband energy harvesting. The inclusiveness of vibration source on both the cantilever beam as well as the external magnets impacts the energy harvester in terms of frequency range and the minimal distance for bistable condition.

Keywords: Energy harvesting; nonlinear dynamics; piezoelectric; vibration; broadband frequency

Li Wah Thong, Swee Leong Kok and Roszaidi Ramlan, “Parameter Optimization of Nonlinear Piezoelectric Energy Harvesting System for IoT Applications” International Journal of Advanced Computer Science and Applications(IJACSA), 13(5), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130542

@article{Thong2022,
title = {Parameter Optimization of Nonlinear Piezoelectric Energy Harvesting System for IoT Applications},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130542},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130542},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {5},
author = {Li Wah Thong and Swee Leong Kok and Roszaidi Ramlan}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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