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

Multi-modal vibration based MEMS energy harvesters for ultra-low power wireless functional nodes

2013 ◽  
Vol 20 (4-5) ◽  
pp. 627-640 ◽  
Author(s):  
J. Iannacci ◽  
E. Serra ◽  
R. Di Criscienzo ◽  
G. Sordo ◽  
M. Gottardi ◽  
...  
Keyword(s):  
Low Power ◽  
Ultra Low Power ◽  
Energy Harvesters ◽  
Modal Vibration

Multi-modal vibration based MEMS energy harvesters for ultra-low power wireless functional nodes

2013 ◽  
Author(s):  
J. Iannacci ◽  
M. Gottardi ◽  
E. Serra ◽  
R. Di Criscienzo ◽  
A. Borrielli ◽  
...  
Keyword(s):  
Low Power ◽  
Ultra Low Power ◽  
Energy Harvesters ◽  
Modal Vibration

Multi-Modal Vibration Energy Harvesting Using a Trapezoidal Plate

2011 ◽  
Author(s):  
Mustafa H. Arafa
Keyword(s):  
System Performance ◽  
Energy Harvester ◽  
Natural Frequencies ◽  
Vibration Energy ◽  
Vibration Modes ◽  
Vibration Energy Harvesting ◽  
Energy Harvesters ◽  
Trapezoidal Plate ◽  
Plate Geometry ◽  
Modal Vibration

Vibration-based energy harvesters are usually designed to exhibit natural frequencies that match those of the excitation for maximum power output. This has spurred interest into the design of devices that respond to variable frequency sources. In this work, an electromagnetic energy harvester in the form of a base excited trapezoidal plate is proposed. The plate geometry is designed to achieve two closely spaced vibration modes in order to harvest energy across a broader bandwidth. The ensuing bending and twisting vibrations are utilized in this capacity by placing a magnet on the plate tip that moves past a stationary coil. A dynamic model is presented to predict the system performance and is verified experimentally.

Design of an MTJ/CMOS-based Asynchronous System for Ultra-Low Power Energy Autonomous Applications

2020 ◽  
pp. 2150058
Author(s):  
Kanika Monga ◽  
Kunal Harbhajanka ◽  
Arush Srivastava ◽  
Nitin Chaturvedi ◽  
S. Gurunarayanan
Keyword(s):  
Low Power ◽  
Magnetic Tunnel Junction ◽  
Spin Transfer Torque ◽  
Sensor Nodes ◽  
Data Retention ◽  
Computing Systems ◽  
Ultra Low Power ◽  
Energy Harvesters ◽  
Circuit Simulator ◽  
Efficient Data

Most of today’s IoT-based computing systems offer an opportunity to build smarter systems for application areas such as healthcare monitoring and wireless sensor nodes. Since these systems are energy limited and remain idle for most of the time, they suffer from large leakage power dissipation. Another problem faced by such computing systems is sporadic power failures when employed with energy harvesters where the system loses its current state and needs long reinitialization time. To address these problems, this work combines asynchronous design techniques with nonvolatility to achieve ultra-low power operation during active mode and data retention during power failure. This paper first presents a detailed analysis of different implementations of volatile c-element and compares their performance in terms of power and delay. Then one of the implementations is selected for nonvolatile design of a hybrid c-element using emerging spin transfer torque–magnetic tunnel junction (STT–MTJ) technology which allows energy-efficient data retention during idle mode/power-off mode and during sudden power failures. Using this hybrid c-element, we design a novel nonvolatile weak conditioned half-buffer. The extensive analysis of these designs with different design metrics is performed at the circuit level using Synopsys HSPICE circuit simulator.

Modeling and design of 3-D MPPT for ultra low power RF energy harvesters

Integration ◽  
2020 ◽  
Vol 72 ◽  
pp. 21-28 ◽  
Author(s):  
Michele Caselli ◽  
Andrea Boni
Keyword(s):  
Low Power ◽  
Ultra Low Power ◽  
Energy Harvesters ◽  
Rf Energy
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