An energy harvesting chip designed to extract maximum power from a TEG

Sinha, Arun Kumar; Radin, Rafael Luciano; Caviglia, Daniele D.; Montoro, C.G.; Schneider, M.C.

doi:10.1109/lascas.2016.7451086

Cited by 13 publications

(6 citation statements)

References 6 publications

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“…Same figure shows an efficiency which varies from 60 to 65% at 50 and 200 mV, respectively. These results are close enough with the derivation on the extraction of maximum power from available power in [19].…”

Section: Measurement Resultssupporting

confidence: 89%

“…As derived from mathematical equations in [19], that in case of an ideal converter the maximum harvesting efficiency is 75%, for this type of architecture. The overall efficiency is decreased since there is the power loss due to non‐ideal switches, non‐ideal boost inductors, and peripheral circuits etc.…”

Section: Measurement Resultsmentioning

confidence: 99%

“…In [19], a zero order model/approximation is derived to show the power that can be extracted from the source. Derivation proves that by using topology shown in Fig.…”

Section: Overall Systemmentioning

confidence: 99%

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Short startup, batteryless, self‐starting thermal energy harvesting chip working in full clock cycle

Sinha

Schneider

2017

IET Circuits, Devices & Syst

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The Internet of Things paradigm considers the deployment in the environment of a profusion of heterogeneous sensor nodes, connected in a complex network, and autonomously powered. Energy harvesting is the common proposed solution to supply such sensors, and many different sources such as light, mechanical vibrations, temperature differences can be considered individually or in combination. Specifically, a thermoelectric generator (TEG), taking advantage of the Seebeck effect, is able to harvest electrical power from a temperature gradient of a few degrees. This study presents a chip fabricated in 130 nm CMOS technology, designed to convert a typical 50 mV output from a TEG into 1 V. The batteryless design utilises both halves of a 50% duty cycle clock. Measurements have been performed by using a TEG, and an equivalent TEG model, i.e. voltage source (50 mV-200 mV) with a series resistance of 5 Ω. The result shows that the proposed prototype can extract 60% (at 50 mV) to 65% (at 200 mV) of the total available power. The energy harvester can self-start at 50 mV with a 2.8 ms startup time, which is a significant improvement over the past work.

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Section: Measurement Resultssupporting

confidence: 89%

Section: Measurement Resultsmentioning

confidence: 99%

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Short startup, batteryless, self‐starting thermal energy harvesting chip working in full clock cycle

Sinha

Schneider

2017

IET Circuits, Devices & Syst

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“…In our case, since we want to possibly obtain a voltage on the supercap higher than the peak value of the input, we chose a boost configuration [15][16][17] that, in its simplest form, consists of a switched inductor converter, as depicted in Figure 7. The red box on the left of the schematics contains the series V G , R S , and L S , which represents the electromagnetic generator obtained as the series wiring of the two coils described previously.…”

Section: Energy-harvesting Circuitmentioning

confidence: 99%

“…In our case, since we want to possibly obtain a voltage on the supercap higher than the peak value of the input, we chose a boost configuration [15][16][17] Considering the inductive behavior of the generator coils, represented by the inductance and resistance in Figure 7, we can derive a model of the circuit, as seen by the generator, as an equivalent resistive load , . To this purpose, it is worth noting that, considering an ideal switch S1 with a zero value series resistance in the closed state, and a constant input voltage , the transient of the current flowing in the circuit follows an exponential behavior as the S1 closes, with a time constant = / and an asymptotic value = / .…”

Section: Energy-harvesting Circuitmentioning

confidence: 99%

FLEHAP: A Wind Powered Supply for Autonomous Sensor Nodes

Boccalero

Boragno

Caviglia

et al. 2016

JSAN

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Abstract:The development of the Internet of Things infrastructure requires the deployment of millions of heterogeneous sensors embedded in the environment. The powering of these sensors cannot be done with wired connections, and the use of batteries is often impracticable. Energy harvesting is the common proposed solution, and many devices have been developed for this purpose, using light, mechanical vibrations, and temperature differences as energetic sources. In this paper we present a novel energy-harvester device able to capture the kinetic energy from a fluid in motion and transform it in electrical energy. This device, named FLEHAP (FLuttering Energy Harvester for Autonomous Powering), is based on an aeroelastic effect, named fluttering, in which a totally passive airfoil shows large and regular self-sustained motions (limit cycle oscillations) even in extreme conditions (low Reynolds numbers), thanks to its peculiar mechanical configuration. This system shows, in some centimeter-sized configurations, an electrical conversion efficiency that exceeds 8% at low wind speed (3.5 m/s). By using a specialized electronic circuit, it is possible to store the electrical energy in a super capacitor, and so guarantee self-powering in such environmental conditions.

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