Theoretical analysis of vibration energy harvesters with nonlinear damping and nonlinear stiffness

2018 ◽  
Vol 133 (12) ◽  
Author(s):  
Dongmei Huang ◽  
Ruihong Li ◽  
Shengxi Zhou ◽  
Grzegorz Litak
Keyword(s):  
Theoretical Analysis ◽  
Nonlinear Damping ◽  
Vibration Energy ◽  
Nonlinear Stiffness ◽  
Energy Harvesters

Resin-bonded NdFeB micromagnets for integration into electromagnetic vibration energy harvesters

2013 ◽  
Vol 14 (4) ◽  
pp. 283-287 ◽  
Author(s):  
Pei-hong Wang ◽  
Kai Tao ◽  
Zhuo-qing Yang ◽  
Gui-fu Ding
Keyword(s):  
Vibration Energy ◽  
Energy Harvesters ◽  
Electromagnetic Vibration

scholarly journals Shock reliability enhancement for MEMS vibration energy harvesters with nonlinear air damping as a soft stopper

2017 ◽  
Vol 27 (10) ◽  
pp. 104003 ◽  
Author(s):  
Shao-Tuan Chen ◽  
Sijun Du ◽  
Emmanuelle Arroyo ◽  
Yu Jia ◽  
Ashwin Seshia
Keyword(s):  
Vibration Energy ◽  
Energy Harvesters ◽  
Air Damping ◽  
Reliability Enhancement

scholarly journals Nonlinear damping in energy harvesters driven by colored noise

2018 ◽  
Vol 64 (6) ◽  
pp. 642
Author(s):  
Mauricio Bastida Romero ◽  
Sebastian Ramirez Cholula
Keyword(s):  
Colored Noise ◽  
Energy Harvester ◽  
Electrical Power ◽  
Nonlinear Damping ◽  
Correlated Noise ◽  
Random Vibrations ◽  
Energy Harvesters

We study the performance of an electromechanical oscillator as an energy harvester driven byfinite-bandwidth random vibrations under the influence of both a stiffness-type nonlinearity and anonlinear damping that has recently been found to be relevant in the dynamics of submicrometermechanical resonators. The device was numerically simulated and its performance assessed by meansof the net electrical power and the efficiency of the conversion of the supplied power by the noiseinto electrical power for exponentially correlated noise. We tune the parameters to achieve a goodperformance of the device for non-negligible amplitudes of the nonlinearity of the oscillator and thedamping.

scholarly journals Enhanced low-frequency vibration energy harvesting with inertial amplifiers

2021 ◽  
pp. 1045389X2110322
Author(s):  
Sondipon Adhikari ◽  
Arnab Banerjee
Keyword(s):  
Low Frequency ◽  
Vibration Energy ◽  
Vibration Energy Harvesting ◽  
Micro Scale ◽  
Energy Harvesters ◽  
Low Frequency Vibration ◽  
Different Types ◽  
Mechanical Approach ◽  
Ambient Excitation ◽  
Piezoelectric Vibration

Piezoelectric vibration energy harvesters have demonstrated the potential for sustainable energy generation from diverse ambient sources in the context of low-powered micro-scale systems. However, challenges remain concerning harvesting more power from low-frequency input excitations and broadband random excitations. To address this, here we propose a purely mechanical approach by employing inertial amplifiers with cantilever piezoelectric vibration energy harvesters. The proposed mechanism can achieve inertial amplification amounting to orders of magnitude under certain conditions. Harmonic, as well as broadband random excitations, are considered. Two types of harvesting circuits, namely, without and with an inductor, have been employed. We explicitly demonstrate how different parameters describing the inertial amplifiers should be optimally tuned to maximise harvested power under different types of excitations and circuit configurations. It is possible to harvest five times more power at a 50% lower frequency when the ambient excitation is harmonic. Under random broadband ambient excitations, it is possible to harvest 10 times more power with optimally selected parameters.

On the minimum coupling required for maximum theoretical power capture from vibration energy harvesters

2012 ◽  
Vol 101 (10) ◽  
pp. 103904 ◽  
Author(s):  
D. Kim ◽  
N. N. Hewa-Kasakarage ◽  
S. Yoon ◽  
N. A. Hall
Keyword(s):  
Vibration Energy ◽  
Energy Harvesters ◽  
Power Capture

MEMS-based multi-modal vibration energy harvesters for ultra-low power autonomous remote and distributed sensing

2018 ◽  
Vol 24 (12) ◽  
pp. 5027-5036 ◽  
Author(s):  
J. Iannacci ◽  
E. Serra ◽  
G. Sordo ◽  
M. Bonaldi ◽  
A. Borrielli ◽  
...  
Keyword(s):  
Low Power ◽  
Distributed Sensing ◽  
Vibration Energy ◽  
Ultra Low Power ◽  
Energy Harvesters ◽  
Modal Vibration
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