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Electrical Engineering

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10-01-2022 | Original Paper

Statistical analysis and modeling of charging time in radio frequency energy harvesting systems

Author: Mustafa Cansiz

Published in: Electrical Engineering | Issue 3/2022

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Abstract

In this study, charging time in RF energy harvesting systems is measured and statistically analyzed. The measurement system is carried out using an RF energy harvesting circuit, transmitters as RF sources, a patch antenna and other auxiliary devices. The RF power signals generated by single, double and triple RF sources are collected wirelessly by the RF energy harvesting circuit at distances from 1 to 5 m at the interval of 0.5 m. Measurement samples for the charging time are recorded and then evaluated. Test of normality using Kolmogorov–Smirnov shows that the measurement samples of the single, double and triple RF sources are not in a normal distribution. Based on Spearman’s rho correlation coefficient, it is detected that there is no strong correlation among the measurement samples at different distances for each RF source. Additionally, it is observed that received power distributions of the RF sources match the charging time values. Based on the experimental results, charging time models are proposed for the single, double and triple RF sources. As a result, it is determined that there is a good match between the proposed models and the charging time values.

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Title: Statistical analysis and modeling of charging time in radio frequency energy harvesting systems
Author: Mustafa Cansiz
Publication date: 10-01-2022
Publisher: Springer Berlin Heidelberg
Published in: Electrical Engineering / Issue 3/2022
Print ISSN: 0948-7921
Electronic ISSN: 1432-0487
DOI: https://doi.org/10.1007/s00202-021-01487-z

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