High efficiency boost converter with variable output voltage using a self-reference comparator

Ashraf, Mohammadreza; Masoumi, Nasser

doi:10.1016/j.aeue.2014.05.011

Cited by 19 publications

(6 citation statements)

References 11 publications

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“…T N is calculated using the expressions shown in ( 6) and (7), which were partially extracted from Ashraf and Masoumi. 15 The instantaneous input voltage to the boost converter, V(t), is given as (6), where i OPP (t) represents the inductor current at the end of the T N phase. Hence, at OPP, since V(t = T N ) = V OPP = 0.67 Â V TEG , substituting this expression to (6) will result in the constant inductor charge-up time, T N as indicated by (7).…”

Section: Oppt Algorithm and Controlmentioning

confidence: 99%

An optimal power management circuit with a dynamic subthreshold start‐up for thermal energy harvesting

Lim

Yeo

Ali³

2023

Circuit Theory & Apps

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This work's power management circuit (PMC) employs optimum power point (OPP) instead of conventional maximum power point (MPP) extraction from the thermoelectric generator (TEG) for efficient source to load energy transfer. Based on postlayout verification of the TSMC 180-nm deep submicron model, this PMC generates above 100 μW of power with a regulated output of 2.5 V within 40 ms from 285-mV cold-start. The main contribution here is the constant time OPP extraction technique at 125.33 μs. Also, the PMC is almost fully on-chip with layout area of 3.8 mm by 3.25 mm for R TEG between 0.29 Ω and 4.17 Ω. OPP can be achieved by matching these R TEG values to the corresponding off-chip inductor, L. Using an overall figure-of-merit (FOM) to evaluate different design goals results in overall OPP-based PMC having at least 2.85 times superior FOM compared to prior arts with MPP-based schemes. This overall improvement in speed, power, and pumping efficiency facilitates battery-less solutions in TEG-based wearable sensor applications. K E Y W O R D S cold-start, optimum power point, power management circuit, thermal energy harvesting

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Section: Oppt Algorithm and Controlmentioning

confidence: 99%

An optimal power management circuit with a dynamic subthreshold start‐up for thermal energy harvesting

Lim

Yeo

Ali³

2023

Circuit Theory & Apps

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“…The temperature effects on V OC is given by (3), while the recombination of the carriers in the PV cell depends on I O as well as the irradiance. The thermal voltage, V T caused inefficiency of the PV cell, and the expression is as shown in (4). The saturated current, I O is a fraction of the reverse current in the diode, which estimates the characteristics of the diode, as shown in (2).…”

Section: Fig 4 Equivalent Solar Cell Circuitmentioning

confidence: 99%

“…It has no moving parts, unlike other resonant generated energy transducers. It is capable of converting the wasted thermal gradient created by the photovoltaic(PV) transducer into electrical energy [4]. The thermal gradient across the thermoelectric transducer and the application of the Seebeck effect is the essential factors that cause the transitioning of charge carriers to its output as a terminal voltage [5].…”

Section: Introductionmentioning

confidence: 99%

Hybridization of Photovoltaic and Thermoelectric Energy Harvesting Systems at Seismic Nodes

Duncan¹,

Mangwala²,

Mtengi³

et al. 2020

International Journal of Engineering Research and Technology

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Seismic data is one of the most important data for analysis and interpretation of subsurface, but remote seismic node fails frequently. This is one of the main constraints that limits seismic network to acquire continuous seismic data and near real-time prediction of seismicity of an area. There are several ambient energy sources at the remote seismic nodes. Optimization of their energy transducers and DC-DC converters is inevitable. In this study, solar and thermal sources are utilized with maximum power point tracking (MPPT) algorithm. The algorithm is based on the Neural Network model to supply the duty cycle across the converter optimally. Historical data were generated from Perturb and Observe algorithm in PSIM for the Neural Network Model to train the data and predict the duty cycles for both within and outside the data. The proposed system delivered an over 75% conversion rate of the Photovoltaic module's power. The system was modeled in Simulink under the ideal conditions of its components. It could face few constraints during prototype implementation due to the unusual characteristics of the thermoelectric elements. However, certain additional electrical energy was achieved for a low duty power load, such as a remote seismic node. The significant contributions are to identify operating constraints and design optimal hybrid energy harvesting systems at a remote seismic node.

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“…Figure 9 shows a DC-DC boost converter introduced after the rectifier, so a low output voltage of the rectenna array can be increased to a typical battery voltage [35,36,37]. By following this approach, an LTC3108 DC/DC boost converter, is used [38].…”

Section: Economical Alternative To Pvmentioning

confidence: 99%

A Novel Energy Harvester for Powering Small UAVs: Performance Analysis, Model Validation and Flight Results

Citroni

Paolo

Livreri

2019

Sensors

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The proposed work aims at exploring and developing new strategies to extend mission parameters (measured as travel distance and mission duration (MD)) of a new class of unmanned vehicles, named Micro Air Vehicles (MAVs). In this paper, a new analytical model, identifying all factors, which determine the MAV power consumption, is presented. Starting from the new model, the design of a nanoarray energy harvester, based on plasmonics nano-antenna technology is proposed. The preliminary study was based on a 22,066,058 22,066,058 × 62,800-dipole rectenna array producing an output power level of 84.14 mW, and an energy value of 2572 J under a power density of 100 mW/cm² and a resonant frequency of 350 THz as input conditions. The preliminary analytical results show a possible recharge of an ultra-fast rechargeable battery on board of a MAV and an MD improvement of 16.30 min.

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High efficiency boost converter with variable output voltage using a self-reference comparator

Cited by 19 publications

References 11 publications

An optimal power management circuit with a dynamic subthreshold start‐up for thermal energy harvesting

An optimal power management circuit with a dynamic subthreshold start‐up for thermal energy harvesting

Hybridization of Photovoltaic and Thermoelectric Energy Harvesting Systems at Seismic Nodes

A Novel Energy Harvester for Powering Small UAVs: Performance Analysis, Model Validation and Flight Results

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