Exploiting dynamic interaction of magnets to enhance off-resonance energy harvesting performance

2018 ◽  
Author(s):  
Feng Qian ◽  
Lei Zuo ◽  
Shengxi Zhou
Keyword(s):  
Energy Harvesting ◽  
Resonance Energy ◽  
Dynamic Interaction

Modeling and Analysis of Piezoelectric Energy Harvesting With Dynamic Plucking Mechanism

2019 ◽  
Vol 141 (3) ◽  
Author(s):  
Xinlei Fu ◽  
Wei-Hsin Liao
Keyword(s):  
Energy Harvesting ◽  
Research Work ◽  
Dynamic Interaction ◽  
Contact Theory ◽  
Vibration Energy ◽  
Piezoelectric Energy Harvesting ◽  
Comprehensive Model ◽  
Energy Harvesters ◽  
Piezoelectric Energy ◽  
Piezoelectric Beam

Nonharmonic excitations are widely distributed in the environment. They can work as energy sources of vibration energy harvesters for powering wireless electronics. To overcome the narrow bandwidth of linear vibration energy harvesters, plucking piezoelectric energy harvesters have been designed. Plucking piezoelectric energy harvesters can convert sporadic motions into plucking force to excite vibration energy harvesters and achieve broadband performances. Though different kinds of plucking piezoelectric energy harvesters have been designed, the plucking mechanism is not well understood. The simplified models of plucking piezoelectric energy harvesting neglect the dynamic interaction between the plectrum and the piezoelectric beam. This research work is aimed at investigating the plucking mechanism and developing a comprehensive model of plucking piezoelectric energy harvesting. In this paper, the dynamic plucking mechanism is investigated and the Hertzian contact theory is applied. The developed model of plucking piezoelectric energy harvesting accounts for the dynamic interaction between the plectrum and the piezoelectric beam by considering contact theory. Experimental results show that the developed model well predicts the responses of plucking piezoelectric energy harvesters under different plucking velocities and overlap lengths. Parametric studies are conducted on the dimensionless model after choosing appropriate scaling. The influences of plucking velocity and overlap length on energy harvesting performance and energy conversion efficiency are discussed. The comprehensive model helps investigate the characteristics and guide the design of plucking piezoelectric energy harvesters.

Study of resonance energy transfer between MEH-PPV and CuFeS2 nanoparticle and their application in energy harvesting device

2014 ◽  
Vol 613 ◽  
pp. 364-369 ◽  
Author(s):  
Animesh Layek ◽  
Somnath Middya ◽  
Arka Dey ◽  
Mrinmay Das ◽  
Joydeep Datta ◽  
...  
Keyword(s):  
Energy Transfer ◽  
Energy Harvesting ◽  
Resonance Energy Transfer ◽  
Resonance Energy

Improving the off-resonance energy harvesting performance using dynamic magnetic preloading

2020 ◽  
Vol 36 (3) ◽  
pp. 624-634 ◽  
Author(s):  
Feng Qian ◽  
Shengxi Zhou ◽  
Lei Zuo
Keyword(s):  
Energy Harvesting ◽  
Resonance Energy

Internal Resonance Energy Harvesting

2015 ◽  
Vol 82 (3) ◽  
Author(s):  
Li-Qun Chen ◽  
Wen-An Jiang
Keyword(s):  
Energy Harvesting ◽  
White Noise ◽  
Frequency Response ◽  
Internal Resonance ◽  
Energy Harvester ◽  
Multiple Scales ◽  
Gaussian White Noise ◽  
Resonance Energy ◽  
Correlated Noise ◽  
Amplitude Frequency Response

Internal resonance is explored as a possible mechanism to enhance vibration-based energy harvesting. An electromagnetic device with snap-through nonlinearity is proposed as an archetype of an internal resonance energy harvester. Based on the equations governing the vibration measured from a stable equilibrium position, the method of multiple scales is applied to derive the amplitude–frequency response relationships of the displacement and the power in the first primary resonances with the two-to-one internal resonance. The amplitude–frequency response curves have two peaks bending to the left and the right, respectively. The numerical simulations support the analytical results. Then the averaged power is calculated under the Gaussian white noise, the narrow-band noise, the colored noise defined by a second-order filter, and the exponentially correlated noise. The results demonstrate numerically that the internal resonance design produces more power than other designs under the Gaussian white noise and the exponentially correlated noise. Besides, the internal resonance energy harvester can outperform the linear energy harvesters with the same natural frequencies and in the same size under Gaussian white noise.

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