scholarly journals Simulation and Characterization of a Nonlinear Dual-Frequency Piezoelectric Energy Harvester

Proceedings ◽  
2018 ◽  
Vol 2 (13) ◽  
pp. 908 ◽  
Author(s):  
Sofiane Bouhedma ◽  
Yuhang Zheng ◽  
Dennis Hohlfeld
Keyword(s):  
Energy Harvester ◽  
Frequency Tuning ◽  
Dual Frequency ◽  
Piezoelectric Energy ◽  
Frequency Agile ◽  
Classical Vibration ◽  
Multi Mode

In this paper, we present a concept, simulation and characterization results of a dual-frequency piezoelectric energy harvester with magnetic frequency tuning capabilities. We demonstrate that the frequency-agile multi-mode capability enables the device to harvest on a wider range of operating frequencies than classical vibration harvesters.

scholarly journals Magnetic Frequency Tuning of a Multimodal Vibration Energy Harvester

Sensors ◽  
2019 ◽  
Vol 19 (5) ◽  
pp. 1149 ◽  
Author(s):  
Sofiane Bouhedma ◽  
Yuhang Zheng ◽  
Fred Lange ◽  
Dennis Hohlfeld
Keyword(s):  
Control Algorithm ◽  
Energy Harvester ◽  
Frequency Tuning ◽  
Maximum Amplitude ◽  
System Level ◽  
Single Frequency ◽  
Dual Frequency ◽  
Vibration Energy Harvester ◽  
Piezoelectric Energy ◽  
System Level Simulation

In this paper, we present a novel vibration-based piezoelectric energy harvester, capable of collecting power at multiple operating frequencies and autonomously adapting itself to the dominant ambient frequencies. It consists of a compact dual-frequency resonator designed such that the first two fundamental natural frequencies are in the range of [50, 100] Hz, which is a typical frequency range for ambient vibrations in industrial environments. A magnetic frequency-tuning scheme is incorporated into the structure, which enables the frequency agility of the system. In contrast to single frequency harvesters, the presented approach combines multi-resonance and frequency tunability of both modes enabling a larger operative bandwidth. We experimentally demonstrate independent bi-directional tunability of our dual-frequency design. Furthermore, a control algorithm based on maximum amplitude tracking has been implemented for self-adaption of the system. The latter has been demonstrated in a system-level simulation model, which integrates the dual-frequency resonator, the magnetic tuning, and the control algorithm.

Electro-mechanical characterization of a piezoelectric energy harvester

2019 ◽  
Vol 253 ◽  
pp. 113585 ◽  
Author(s):  
Mohamadreza Khalili ◽  
Ayetullah B. Biten ◽  
Gopal Vishwakarma ◽  
Sara Ahmed ◽  
A.T. Papagiannakis
Keyword(s):  
Energy Harvester ◽  
Mechanical Characterization ◽  
Piezoelectric Energy

Analytical modeling and validation of multi-mode piezoelectric energy harvester

2019 ◽  
Vol 124 ◽  
pp. 613-631 ◽  
Author(s):  
Xiangyang Li ◽  
Deepesh Upadrashta ◽  
Kaiping Yu ◽  
Yaowen Yang
Keyword(s):  
Analytical Modeling ◽  
Energy Harvester ◽  
Piezoelectric Energy ◽  
Multi Mode

Modeling and Experimental Characterization of a Piezoelectric Energy Harvester with a Wind Concentrator Structure

2020 ◽  
Vol 45 (11) ◽  
pp. 9793-9802
Author(s):  
Jiantao Zhang ◽  
Pengyu Wang ◽  
Yiwen Ning ◽  
Wei Zhao ◽  
Xiaobo Zhang
Keyword(s):  
Energy Harvester ◽  
Experimental Characterization ◽  
Piezoelectric Energy

Energy Harvesting From Broadband Random Vibrations: Comparison of Single-Mode and Multi-Mode Electroelastic Solutions

2012 ◽  
Author(s):  
Sihong Zhao ◽  
Alper Erturk
Keyword(s):  
Energy Harvesting ◽  
White Noise ◽  
Energy Harvester ◽  
Vibrational Energy ◽  
Single Mode ◽  
Random Excitation ◽  
Distributed Parameter ◽  
Random Vibrations ◽  
Piezoelectric Energy ◽  
Multi Mode

Vibration-based energy harvesting has been heavily researched over the last decade with a primary focus on resonant excitation. However, ambient vibrational energy often has broader frequency content than a single harmonic, and in many cases it is entirely stochastic. As compared to the literature of deterministic energy harvesting, very few authors presented modeling approaches for energy harvesting from broadband random vibrations. These efforts have combined the input statistical information with the single-degree-of-freedom (SDOF) dynamics of the energy harvester to express the statistical electromechanical response characteristics. In most cases, the motion input (base acceleration) is assumed to be ideal white noise. White noise has a flat power spectral density (PSD) that might in fact excite higher vibration modes of an electroelastic energy harvester. In particular, piezoelectric energy harvesters constitute such continuous electroelastic systems with more than one vibration mode. This paper presents modeling and simulations of piezoelectric energy harvesting from broadband random vibrations based on distributed-parameter electroelastic solution. For white noise–type base acceleration of a given PSD level, first the general solution of the distributed-parameter problem is given. Closed-form representations are extracted for the single-mode case and these are analogous to the SDOF equations reported in the literature of energy harvesting. It is reported that the single-mode predictions might result in significant mismatch as compared to multi-mode predictions. Using the electroelastic solution, soft and hard piezoelectric power generators are compared under broadband random excitation. Shunt damping effect of power generation on the stochastic vibration response under broadband random excitation is also reported.

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