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A High-Efficient Wireless Power Receiver for Hybrid Energy-Harvesting Sources

Danial Khan, Seong-Jin Oh, Sung–Ku Yeo, Young‐Ho Ryu, Sol-Hee In, Reza Rad, İmran Ali, YoungGun Pu, Sang‐Sun Yoo, Minjae Lee, Keum Cheol Hwang, Youngoo Yang, Kang‐Yoon Lee

2021IEEE Transactions on Power Electronics39 citationsDOI

Abstract

This article presents a power-efficient hybrid energy-harvesting system that scavenges energy from solar, vibration, and radio frequency (RF) energy sources and converts into regulated output dc voltage courtesy buck–boost dc–dc converter. The proposed architecture incorporates tetra-paths for maintaining high power conversion efficiency (PCE) over extended input power range (−10 to 30 dBm). A time-domain maximum power point tracking technique is proposed for solar energy harvester. A high-efficiency full wave rectifier is designed for triboelectric rectifier. A 5.8-GHz RF-dc converter with adaptive matching is proposed to increase dynamic range of the input power. The chip is implemented in 0.18-µm bipolar-CMOS-DMOS process. The die area of the chip is 2.8 mm × 5.0 mm, including the pads. The solar and triboelectric energy harvesters achieve a measured peak efficiencies of 75.4% and 92.3%, respectively. The high-power 5.8-GHz RF-dc converter achieves measured PCE of 76% at 30 dBm input power. The low-power dual-band RF-dc converter operating at 900 MHz and 2.4 GHz obtains measured peak efficiencies of 73% and 71.9% at 0 dBm input, respectively. The buck–boost dc–dc converter employed in the proposed hybrid energy harvesting system achieves a measured peak PCE of 94.5%.

Topics & Concepts

Energy harvestingRectifier (neural networks)Electrical engineeringEnergy conversion efficiencyBoost converterRadio frequencyBuck converterMaximum power point trackingMaximum power principlePower (physics)VoltageElectronic engineeringMaterials scienceEngineeringComputer sciencePhysicsQuantum mechanicsRecurrent neural networkInverterMachine learningArtificial neural networkStochastic neural networkInnovative Energy Harvesting TechnologiesEnergy Harvesting in Wireless NetworksAdvanced Sensor and Energy Harvesting Materials
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