Experimental study on the efficiency of RF energy transfer system
Open accessAbstract
This paper presents a 915 MHz radio frequency (RF) wireless energy transfer system which contains RF energy transmitters and RF energy harvesting nodes. Firstly, Advanced Design System (ADS) is used to design and optimize the monopole voltage doubler rectifier circuit. Secondly, an energy harvesting node is designed by a commercial RF/DC rectifier and a 915 MHz antenna. Finally, the RF energy transfer experiment between RF energy transmitter and RF energy harvesting node is demonstrated. Experimental data fits well with theoretical analysis and the harvested energy show a non-linear relationship with the distance and angle between the receiving node antenna and the transmitter antenna. The experimental data is valuable for designing RF-powered nodes and optimizing the movement trajectory of the mobile RF energy transmitter, such as an unmanned aerial vehicle (UAV).
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As the distance between the transmitter and receiver increases, the power transfer efficiency typically decreases due to the spreading of electromagnetic waves.
“As the distance between the transmitter and receiver increases, the power transfer efficiency typically decreases due to the spreading of electromagnetic waves.”
From Comparative analysis of energy transfer mechanisms for neural implants (2024) · cites this paper as Guo et al., 2022
This dispersion means that only a fraction of the transmitted power is captured by the receiver, necessitating higher power outputs from the transmitter to ensure adequate energy reaches the implant.
“This dispersion of energy means that only a fraction of the transmitted power is captured by the receiver, necessitating higher power outputs from the transmitter to ensure adequate energy reaches the implant.”
From Comparative analysis of energy transfer mechanisms for neural implants (2024) · cites this paper as Guo et al., 2022
This increase in power output can lead to heightened concerns about tissue heating.
“This increase in power output can, in turn, lead to heightened concerns about tissue heating (Di Carlo et al., 2018; Fan et al., 2022; Guo et al., 2022).”
From Comparative analysis of energy transfer mechanisms for neural implants (2024) · cites this paper as Guo et al., 2022
Cites
Energy Harvesting From Human and Machine Motion for Wireless Electronic Devices
Mitcheson, P. D., Yeatman, E. M., Rao, G. K., Holmes, A. S., & Green, T. C. (2008) · Proceedings of the IEEE · doi:10.1109/jproc.2008.927494 · Cited by 1,888 · see citing works
Energy harvesting in wireless sensor networks: A taxonomic survey
Singh, J., Kaur, R., & Singh, D. (2020) · International Journal of Energy Research · doi:10.1002/er.5816 · Cited by 192 · see citing works
RF Energy Harvesting for Batteryless and Maintenance-Free Condition Monitoring of Railway Tracks
Li, P., Long, Z., & Yang, Z. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.3023475 · Cited by 84 · see citing works
Joint 3D Trajectory Design and Time Allocation for UAV-Enabled Wireless Power Transfer Networks
Feng, W., Zhao, N., Ao, S., Tang, J., Zhang, X. Y., Fu, Y., So, D. K. C., & Wong, K. (2020) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2020.2972133 · Cited by 82 · see citing works
A Novel RF Energy Harvester for Event-Based Environmental Monitoring in Wireless Sensor Networks
Verma, G., & Sharma, V. (2021) · IEEE Internet of Things Journal · doi:10.1109/jiot.2021.3097629 · Cited by 48 · see citing works
Load Balance and Trajectory Design in Multi-UAV Aided Large-Scale Wireless Rechargeable Networks
Wu, P., Xiao, F., Huang, H., & Wang, R. (2020) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2020.3026788 · Cited by 47 · see citing works
Transient Input Impedance Modeling of Rectifiers for RF Energy Harvesting Applications
Shieh, S., & Kamarei, M. (2017) · IEEE Transactions on Circuits & Systems II Express Briefs · doi:10.1109/tcsii.2017.2693960 · Cited by 46 · see citing works
Rokonuzzaman, M., Mishu, M. K., Amin, N., Mithulananthan, N., Roy, R. B., Rahman, K. S., Buhari, A. M., Binzaid, S., Shakeri, M., & Pasupuleti, J. (2021) · Micromachines · doi:10.3390/mi12060653 · Cited by 44 · see citing works
A Sensorless Self-Tuning Resonance System for Piezoelectric Broadband Vibration Energy Harvesting
Shi, G., Xia, Y., Yang, Y., Chen, J., Peng, Y., Xia, H., Wang, X., & Qian, L. (2020) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2020.2975457 · Cited by 39 · see citing works
Development of a hybrid type smart pen piezoelectric energy harvester for an IoT platform
Kim, J. H., Cho, J. Y., Jhun, J. P., Song, G. J., Eom, J. H., Jeong, S., Hwang, W., Woo, M. S., & Sung, T. H. (2021) · Energy · doi:10.1016/j.energy.2021.119845 · Cited by 32 · see citing works
An efficient solar energy harvesting system for wireless sensor network nodes
Antony, S. M., Indu, S., & Pandey, R. (2020) · Journal of Information and Optimization Sciences · doi:10.1080/02522667.2020.1714182 · Cited by 32 · see citing works
Illenberger, P. K., Rosset, S., Madawala, U. K., & Anderson, I. A. (2020) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2020.3003591 · Cited by 19 · see citing works
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Comparative analysis of energy transfer mechanisms for neural implants
Miziev, S., Pawlak, W. A., & Howard, N. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1320441 · Cited by 21 · see citing works
Design and Development of Energy Harvesting System for Wireless Local Area Network
Karthikeya, T., Manjula, T. R., Murthy, U. K., Kumar, P. U., Manoj, G. N., & Ravikumar, S. (2024) · Lecture notes in networks and systems · doi:10.1007/978-981-99-7814-4_18
- Authors
- Guo, J., Lu, D., & Zheng, W.
- Affiliations
- Foshan University (CN)
- Corresponding author
- Guo, Jing
- Venue
- Journal of Physics: Conference Series
- Publisher
- IOP Publishing
- Published
- 2022-05-01
- Volume
- 2221
- Issue
- 1
- Pages
- 012039
- ISSN
- 1742-6588 (ISSN-L)
- 1742-6596
- OpenAlex
- W4281287290
- Cited by
- 2
- References
- 12
- Citations by year
- 2024: 2
- FWCI
- 0.81
- Type
- conference paper
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Journal of Physics Conference Series (publishedVersion, cc-by)
- Funders
- National Natural Science Foundation of China (61803087))
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Energy Harvesting in Wireless Networks
- Physical Sciences › Engineering › Mechanical Engineering › Innovative Energy Harvesting Technologies
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Wireless Power Transfer Systems
- Keywords
- RF wireless power transfer, 915 MHz, RF energy harvesting, RF-DC rectifier
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