LAPSE:2023.21798
Published Article
LAPSE:2023.21798
A High-Efficiency and Wide-Input Range RF Energy Harvester Using Multiple Rectenna and Adaptive Matching
March 23, 2023
In this paper, a Radio Frequency (RF) energy harvester (EH) system for Internet of Things (IoT)-related applications is presented. The proposed EH architecture operates at 5.2 GHz band and utilizes multiple rectenna. This approach enhances the efficiency of the whole system over a wide dynamic RF input range. In the presented circuit, configuration of the rectenna is controlled by Field-Programmable Gate Array (FPGA) with respect to the input power level of the received RF input signal. In addition, an automatic adaptive matching based on the configuration of the rectenna, level of the received signal, and load current adjusts the matching network. The rectenna is realized through the Radio Frequency-Direct Current (RF-DC) converter composed of two Schottky diodes and generates the output DC voltage. Finally, a buck-boost converter provides the flattened and fixed voltage for the IoT and wearable devices. The 5.2 GHz band reconfigurable system demonstrates 67% high efficiency and 6.1 V output DC voltage where the power level of RF input is +20 dBm. The main application of the proposed structure is for charging wearable smart devices such as a smart watch and bracelet.
Record ID
Keywords
adaptive matching, IoT/wearable devices, power conversion efficiency, rectenna, RF energy harvester, wide input range
Subject
Suggested Citation
Abbasizadeh H, Hejazi A, Samadpoor Rikan B, Kim SY, Bae J, Lee JM, Moon JH, Park JJ, Pu YG, Hwang KC, Yang Y, Kim DI, Lee KY. A High-Efficiency and Wide-Input Range RF Energy Harvester Using Multiple Rectenna and Adaptive Matching. (2023). LAPSE:2023.21798
Author Affiliations
Abbasizadeh H: Department of Electrical and Computer Engineering, University of California at San Diego, La Jolla, CA 92093, USA [ORCID]
Hejazi A: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea [ORCID]
Samadpoor Rikan B: Nanoelectronics Group, Department of Informatics, University of Oslo, 0316 Oslo, Norway
Kim SY: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
Bae J: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
Lee JM: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
Moon JH: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
Park JJ: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
Pu YG: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
Hwang KC: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea [ORCID]
Yang Y: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
Kim DI: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea [ORCID]
Lee KY: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
Hejazi A: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea [ORCID]
Samadpoor Rikan B: Nanoelectronics Group, Department of Informatics, University of Oslo, 0316 Oslo, Norway
Kim SY: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
Bae J: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
Lee JM: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
Moon JH: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
Park JJ: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
Pu YG: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
Hwang KC: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea [ORCID]
Yang Y: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
Kim DI: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea [ORCID]
Lee KY: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
Journal Name
Energies
Volume
13
Issue
5
Article Number
E1023
Year
2020
Publication Date
2020-02-25
Published Version
ISSN
1996-1073
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Original Submission
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PII: en13051023, Publication Type: Journal Article
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LAPSE:2023.21798
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doi:10.3390/en13051023
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[v1] (Original Submission)
Mar 23, 2023
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Mar 23, 2023
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