Deep Learning-Based Optimization of Piezoelectric Vibration Energy Harvesters

2022 ◽  
Author(s):  
Abhilash M. Menon ◽  
Tanmayee R. Kopparthi ◽  
Pravan Omprakash ◽  
Harikesh Verma ◽  
A. Haldar ◽  
...  
Keyword(s):  
Deep Learning ◽  
Vibration Energy ◽  
Energy Harvesters ◽  
Piezoelectric Vibration

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.

scholarly journals Effects of Proof Mass Geometry on Piezoelectric Vibration Energy Harvesters

Sensors ◽  
2018 ◽  
Vol 18 (5) ◽  
pp. 1584 ◽  
Author(s):  
Abdul Alameh ◽  
Mathieu Gratuze ◽  
Mohannad Elsayed ◽  
Frederic Nabki
Keyword(s):  
Proof Mass ◽  
Vibration Energy ◽  
Energy Harvesters ◽  
Piezoelectric Vibration

On Mathematical Modeling of Piezoelectric Energy Harvesters

2014 ◽  
Vol 953-954 ◽  
pp. 655-658 ◽  
Author(s):  
Guang Qing Shang ◽  
Hong Bing Wang ◽  
Chun Hua Sun
Keyword(s):  
Mathematical Modeling ◽  
Energy Harvesting ◽  
Energy Harvester ◽  
Vibration Energy ◽  
Piezoelectric Energy Harvesting ◽  
Vibration Energy Harvester ◽  
Energy Harvesters ◽  
Piezoelectric Energy ◽  
Energy Harvesting System ◽  
Piezoelectric Vibration

Energy harvesting system has become one of important areas of ​​research and develops rapidly. How to improve the performance of the piezoelectric vibration energy harvester is a key issue in engineering applications. There are many literature on piezoelectric energy harvesting. The paper places focus on summarizing these literature of mathematical modeling of piezoelectric energy harvesting, ranging from the linear to nonlinear, from early a single mechanical degree to piezoaeroelastic problems.

Similarity and duality of electromagnetic and piezoelectric vibration energy harvesters

2015 ◽  
Vol 52-53 ◽  
pp. 672-684 ◽  
Author(s):  
Xu Wang ◽  
Sabu John ◽  
Simon Watkins ◽  
Xinghuo Yu ◽  
Han Xiao ◽  
...  
Keyword(s):  
Vibration Energy ◽  
Energy Harvesters ◽  
Piezoelectric Vibration

MEMS Piezoelectric Vibration Energy Harvesters

2017 ◽  
pp. 1-37
Author(s):  
Licheng Deng ◽  
Zhiyu Wen ◽  
Xingqiang Zhao
Keyword(s):  
Vibration Energy ◽  
Energy Harvesters ◽  
Piezoelectric Vibration
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