Reduced order modeling enables system level simulation of a MEMS piezoelectric energy harvester with a self-supplied SSHI-scheme

Author(s):  
F. Sayed ◽  
T. Aftab ◽  
M. Eker ◽  
D. Hohlfeld ◽  
T. Bechtold ◽  
...  
Sensors ◽  
2019 ◽  
Vol 19 (5) ◽  
pp. 1149 ◽  
Author(s):  
Sofiane Bouhedma ◽  
Yuhang Zheng ◽  
Fred Lange ◽  
Dennis Hohlfeld

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.


Energy ◽  
2018 ◽  
Vol 148 ◽  
pp. 112-122 ◽  
Author(s):  
Shreya Banerjee ◽  
Sitikantha Roy

2009 ◽  
Vol 79-82 ◽  
pp. 103-106 ◽  
Author(s):  
Li Hua Tang ◽  
Yao Wen Yang

Accurate modeling and computer aided simulation is advantageous during the design stage of a piezoelectric energy harvesting system. In this paper, system-level finite element modeling (FEM) of a cantilevered piezoelectric energy harvester with a resistor is conducted using ANSYS. Considering that practical energy harvesting circuit includes nonlinear electrical elements, which is beyond the modeling capability of ANSYS, an equivalent circuit modeling (ECM) method is proposed to address the problem. After the parameters of equivalent circuit are identified, system-level simulation is conducted in SPICE software.


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