Design and Simulation of a Solar Powered Low-Frequency H-Bridge Inverter with an Idealized Wireless Power Transfer Extension
Anas MOUAKKA
Abstract. Solar photovoltaic systems require a DC-to-AC conversion to deliver usable power to domestic loads. This paper presents the design and Simulink-based simulation of a low frequency H-bridge inverter connected to an ideal linear transformer, and a loosely coupled wireless power transfer (WPT) as a continuation to the same inverter. The novelty lies in the union of the inverter and an adjustable linear transformer model to demonstrate how the coupling coefficient k affects the RMS voltage output. The DC-to-AC inverter was implemented in MATLAB/Simulink/Simscape using IGBT switches, gating signals (50Hz), and a 12 V DC source representing the PV-battery subsystem. Parametric sweeps were performed across series load resistance, inductance, and capacitance; also, sweeps for switching frequency and coupling coefficient were performed. The results show the RMS voltage to be converging to the nominal 120 VAC for resistive loads ≥1 Ω and reactance loads ≥0.1 mH, while high-capacitance conditions (e.g., ≥10 mF) produce low voltages. Decreasing k produces reductions in VRMS and power delivered, which is predicted by the coupled-inductor theory. Moreover, the efficiency was found to be ≈ 84%. Overall, the combination of the H-bridge and linear transformer provides a controllable model for analyzing inverter and WPT performance.
Keywords
Photovoltaic Systems, Solar Energy Management, DC–AC Inverters, Full-bridge, Linear Transformer, Wireless Power Transfer (WPT), Magnetic Coupling, Mutual Inductance, RLC Load, Simulink, Impedance Analysis, Root Mean Square (RMS)
Published online 4/25/2026, 7 pages
Copyright © 2026 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: Anas MOUAKKA, Design and Simulation of a Solar Powered Low-Frequency H-Bridge Inverter with an Idealized Wireless Power Transfer Extension, Materials Research Proceedings, Vol. 64, pp 404-410, 2026
DOI: https://doi.org/10.21741/9781644904091-50
The article was published as article 50 of the book Energy Futures
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
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