scholarly journals Experimental and Numerical Characterization of a Gravitational Electromagnetic Energy Harvester

Energies ◽  
2021 ◽  
Vol 14 (15) ◽  
pp. 4622
Author(s):  
Caterina Russo ◽  
Mirco Lo Monaco ◽  
Federico Fraccarollo ◽  
Aurelio Somà

In this paper, the dynamic experimental identification of an inductive energy harvester for the conversion of vibration energy into electric power is presented. Recent advances and requirements in structural monitoring and vehicle diagnostic allow defining Autonomous Internet of Things (AIoT) systems that combine wireless sensor nodes with energy harvester devices properly designed considering the specific duty cycle. The proposed generator was based on an asymmetrical magnetic suspension and was addressed to structural monitoring applications on vehicles. The design of the interfaces of the electric, magnetic, and structural coupled systems forming the harvester are described including dynamic modeling and simulation. Finally, the results of laboratory tests were compared with the harvester dynamic response calculated through numerical simulations, and a good correspondence was obtained.

2011 ◽  
Vol 2 (4) ◽  
pp. 235-241 ◽  
Author(s):  
Gonzalo Murillo ◽  
Minbaek Lee ◽  
Chen Xu ◽  
Gabriel Abadal ◽  
Zhong Lin Wang

2006 ◽  
Vol 920 ◽  
Author(s):  
Sarah Brady ◽  
Shirley Coyle ◽  
Yanzhe Wu ◽  
Gordon Wallace ◽  
Dermot Diamond

AbstractThe world is becoming more health conscious and as a result healthcare is evolving in many ways. Wearable computing is assisting with this evolution, finding its place in many biomedical applications where real-time monitoring of general health indicators is required. However, the inconvenience of connecting sensors through wires, which not only incurs high maintenance, limits the freedom of the person therefore hampering a true reflection of the person's actions. By using sensors attached to wireless sensor nodes, this constraint is removed. Also in order to be “wearable” the sensors must be comfortable, a factor often overlooked by traditional sensors, where functionality and robustness are of higher importance. This work is focused on the use of foam-based pressure sensors and similar textile-based sensors for monitoring the ambulatory movements of the wearer. Characterization of the molecular nature of the materials and their environment are presented. We find these sensors to be successful in detecting the movement events without imposing on the daily activity of the wearer.


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