Experimental Analysis of Wireless Power Transfer Efficiency: Efficiency and Distance Show Inverse Relation

© 2024 by IJCTT Journal
Volume-72 Issue-1
Year of Publication : 2024
Authors : Shaurya Goel
DOI :  10.14445/22312803/IJCTT-V72I1P103

How to Cite?

Shaurya Goel, "Experimental Analysis of Wireless Power Transfer Efficiency: Efficiency and Distance Show Inverse Relation," International Journal of Computer Trends and Technology, vol. 72, no. 1, pp. 12-18, 2024. Crossref, https://doi.org/10.14445/22312803/IJCTT-V72I1P103

Wireless power transfer technology uses magnetic fields to transmit power wirelessly between two devices. It has been well known as the method to transfer power conveniently, but its feasibility over longer distances has always been a question mark. This research paper presents an experimental analysis of the efficiency of wireless power transfer systems, focusing on the impact of distance between the transmitter and receiver coils, aiming to bring in data and certainty in the space of wireless power transfer. The study investigates the relationship between efficiency and distance, aiming to provide insights into the feasibility and practical limitations of wireless power transfer in real-world applications. The Efficiency measurements were recorded over a range of distances, from 1 mm to 20 mm, and logged at minute intervals for 20 minutes to observe the dynamic behavior of efficiency. The results indicate a gradual decrease in efficiency as the distance increases, with efficiency levels ranging from approximately 70.29% at 1 mm to around 36.29% at 20 mm. The efficiency can be curvefitted with a linear equation of the form “y = a*x +b” using the curve_fit functionality of the SciPy library in Python. Additionally, the dynamic analysis reveals the system’s settling time and stabilization of efficiency values at different distances. These findings provide essential insights for designing and optimizing wireless power transfer systems and emphasize the importance of distance in achieving efficient energy transmission in practical scenarios.

Wireless power transfer, Efficiency, Distance, Power logger, Python scripting and Experimental analysis.


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