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A Thermal/RF Hybrid Energy Harvesting System With Rectifying-Combination and Improved Fractional-OCV MPPT Method

Zemin Liu, Yu-Pin Hsu, Mona Mostafa Hella

2020IEEE Transactions on Circuits and Systems I Regular Papers50 citationsDOI

Abstract

This paper presents a thermal/RF hybrid energy harvester. The energy harvesting system can scavenge energy from a thermoelectric generator (TEG) and a radiofrequency (RF) energy source simultaneously, and deliver the combined power to a single load. Two techniques are employed in the system to increase the end-to-end efficiency; the rectifying-combination technique is proposed to eliminate the power loss associated with a dedicated AC-DC converter before the combiner and an improved fractional open-circuit voltage (FOCV) maximum power tracking (MPPT) is considered for a high average efficiency. A dynamic power path control extracts the maximum RF power from a cross-coupled differential rectifier, and also behaves as an AC/DC energy combiner. The thermal/RF harvester system achieves a measured peak end-to-end power conversion efficiency (PCE) of 63.4%. The shorter sampling time of 26ms every 16s for the proposed FOCV MPPT method reduces the long charging tail required to refresh the sampling capacitor, resulting in a an improved average efficiency of 82.2% for the thermal harvester. Fabricated in 0.18 μm CMOS technology, the prototype operates at a thermal input voltage ranging from 40 mV to 400 mV and an RF power from -18 dBm to -3 dBm and delivers an output voltage of 1.8 V. The total area of the fabricated circuit prototype is 1.22 mm <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> .

Topics & Concepts

Energy harvestingMaximum power point trackingRectifier (neural networks)Electrical engineeringCapacitorThermoelectric generatorRadio frequencyVoltageEnergy conversion efficiencyCMOSPhotovoltaic systemMaximum power principlePower (physics)Electronic engineeringComputer scienceMaterials scienceEngineeringPhysicsThermoelectric effectInverterMachine learningThermodynamicsArtificial neural networkStochastic neural networkRecurrent neural networkQuantum mechanicsInnovative Energy Harvesting TechnologiesEnergy Harvesting in Wireless NetworksAdvanced Thermoelectric Materials and Devices
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