A High-Efficiency and Wide-Input Range RF Energy Harvester Using Multiple Rectenna and Adaptive Matching

Hamed Abbasizadeh, Arash Hejazi, Behnam Samadpoor Rikan, Sang Yun Kim, Jongseok Bae, Jong Min Lee, Jong Ho Moon, Jong Jin Park, Young Gun Pu, Keum Cheol Hwang, Youngoo Yang, Dong In Kim and Kang-Yoon Lee
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Hamed Abbasizadeh: Department of Electrical and Computer Engineering, University of California at San Diego, La Jolla, CA 92093, USA
Arash Hejazi: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
Behnam Samadpoor Rikan: Nanoelectronics Group, Department of Informatics, University of Oslo, 0316 Oslo, Norway
Sang Yun Kim: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
Jongseok Bae: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
Jong Min Lee: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
Jong Ho Moon: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
Jong Jin Park: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
Young Gun Pu: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
Keum Cheol Hwang: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
Youngoo Yang: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
Dong In Kim: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea
Kang-Yoon Lee: Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon 16419, Korea

Energies, 2020, vol. 13, issue 5, 1-14

Abstract: 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.

Keywords: RF energy harvester; power conversion efficiency; rectenna; IoT/wearable devices; adaptive matching; wide input range (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
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