Design and Simulation of an MPPT-Based Solar Buck Converter for Efficient Battery Charging
Mohssine LANOUAR
Abstract in this research, the design and stimulation of a photovoltaic (PV) solar charge management system incorporating a Maximum Power Point Tracking (MPPT) technique coupled with a buck DC-DC converter for efficient charging of a 12V battery is described. The design allows for the continuous tracking of the maximum power point of the PV cell regardless of the solar irradiance level to maximize the extracted solar output using the Perturb and Observe algorithm to continually vary the Duty cycle of the converter. A full system model of the PV cell, the MPPT logic, the switching converter, and the storage element for the simulated system has been developed using the MATLAB-SIMULINK platforms. Through simulations carried out using the platforms, the MPPT logic demonstrated the ability to track the MPP of the PV Cell, the PV cell output reducing understandably as the solar irradiance level fell, and the duty cycle varying in the manner that optimized the performance of the system. The simulated outputs of the system have therefore demonstrated the efficient conversion of solar energy, conforming the appropriateness of the use of MPPT-based buck converters in renewable energy technology.
Keywords
MPPT, Buck Converter, Photovoltaic Systems, Battery Charging, Renewable Energy, P&O Algorithm, Power Electronics
Published online 4/25/2026, 8 pages
Copyright © 2026 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: Mohssine LANOUAR, Design and Simulation of an MPPT-Based Solar Buck Converter for Efficient Battery Charging, Materials Research Proceedings, Vol. 64, pp 203-210, 2026
DOI: https://doi.org/10.21741/9781644904091-25
The article was published as article 25 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.
References
[1] N. Tan, M. Rashid, and M. Alam, “Modeling of PV MPPT Lead Acid Battery Charge Controller,” E3S Web of Conferences, vol. 155, p. 03005, 2020. https://doi.org/10.1051/e3sconf/202018203005
[2] A. Safari and S. Mekhilef, “Simulation and hardware implementation of incremental conductance MPPT with direct control method using Cuk converter,” IEEE Transactions on Industrial Electronics, vol. 58, no. 4, pp. 1154-1161, 2011. https://doi.org/10.1109/TIE.2010.2048834
[3] T. Esram and P. Chapman, “Comparison of photovoltaic array maximum power point tracking techniques,” IEEE Transactions on Energy Conversion, vol. 22, no. 2, pp. 439-449, 2007. https://doi.org/10.1109/TEC.2006.874230
[4] N. Femia, G. Petrone, G. Spagnuolo, and M. Vitelli, “Optimization of perturb and observe maximum power point tracking method,” IEEE Transactions on Power Electronics, vol. 20, no. 4, pp. 963-973, 2005. https://doi.org/10.1109/TPEL.2005.850975
[5] H. Patel and V. Agarwal, “MATLAB-based modeling to study the effects of partial shading on PV array characteristics,” IEEE Transactions on Energy Conversion, vol. 23, no. 1, pp. 302-310, 2008. https://doi.org/10.1109/TEC.2007.914308
[6] M. Veerachary, T. Senjyu, and K. Uezato, “Maximum power point tracking control of IDB converter supplied PV system,” IEE Proceedings – Electric Power Applications, vol. 148, no. 6, pp. 494-502, 2001 https://doi.org/10.1049/ip-epa:20010656
