An ultra-low power capacitance extrema and ratio detector for electrostatic energy harvesters

2015 ◽  
Author(s):  
Benjamin Saft ◽  
Eric Schafer ◽  
Alexander Rolapp ◽  
Eckhard Hennig
Keyword(s):  
Low Power ◽  
Electrostatic Energy ◽  
Ultra Low Power ◽  
Energy Harvesters

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

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

Low-Power ASIC for Microwatt Electrostatic Energy Harvesters

2013 ◽  
Vol 60 (12) ◽  
pp. 5639-5647 ◽  
Author(s):  
Asantha Kempitiya ◽  
Diana-Andra Borca-Tasciuc ◽  
Mona Mostafa Hella
Keyword(s):  
Low Power ◽  
Electrostatic Energy ◽  
Energy Harvesters

scholarly journals Experimental Measurements of a Low Power CMOS Analog MPPT Power Conditioning Circuit for Energy Harvesting Applications

2021 ◽  
Vol 14 ◽  
pp. 1192-1197
Author(s):  
Francarl Galea ◽  
Owen Casha ◽  
Ivan Grech ◽  
Edward Gatt ◽  
Joseph Micallef
Keyword(s):  
Low Power ◽  
Maximum Power ◽  
Threshold Region ◽  
Power Conditioning ◽  
Maximum Power Point ◽  
Power Circuit ◽  
Ultra Low Power ◽  
Energy Harvesters ◽  
Power Point ◽  
Conditioning Circuit

This paper presents the complete measured performance and characterization of a fabricated power conditioning integrated circuit for energy harvesters with on-chip maximum power point tracking (MPPT) and external energy storage. This ultra-low power circuit employs an AC/DC-to-DC converter compatible with both AC and DC voltage energy harvesters. The MPPT design follows the perturbation and observation algorithm. This MPPT is capable of tracking the maximum power point of types of energy harvesters. The circuit is implemented using the AMS CMOS 0:35 μm high voltage technology and all the circuit blocks use analog electronic techniques, with the transistors operating in the sub-threshold region, in order to obtain a minimum power consumption. This power conditioning circuit consumes less than 2 μW while featuring an input voltage range of -0:5V to -50V and a power range from 10 μW to 200mW.

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