Call For Paper Volume: V, Issue: 08 | AUGUST 2026 | International Journal of Advanced Trends in Engineering and Management (IJATEM)
Volume V | Issue 4 | 2026 | Paper ID: IJATEM-V05I04P5

Dragonfly Optimized PI Controlled SEPIC Converter for Efficient Solar-Powered EV Charging Applications

, D. Lakshmi, E. Immanuvel Bright

", International Journal of Advanced Trends in Engineering and Management, vol. 05, no. 04, pp. 39-45, 2026.
The attempt to limit the release of greenhouse gasses that cause global warming and to protect fossil fuels, which are becoming rarer, has led to a sharp growth in development of renewable energy installations in recent years. As the number of electric vehicles (EVs) rises, infrastructure for charging them must be improved and extended. Hence, charging stations are required for long distance travel where energy obtained from renewable energy sources(RESs), since energy stored in batteries of vehicles are not sufficient for long distance driving. Therefore, to overcome this challenges EV charging station which is equipped with RES, converter topology and optimization technique is proposed. In this paper, energy is received from solar Photovoltaic (PV) system and fed into converter section which improves the DC voltage attained from PV system. Single-ended primary inductance converter (SEPIC) is used, in which voltage fluctuation from converter requires optimization. This optimization is performed using Dragonfly optimized Proportional-Integral controller (DOA-PI), which in turn aids in faster convergence of algorithm iterations and controls DC link supply with constant power given to EV load. Using MATLAB simulation software, experiment is executed and respective outputs are obtained with efficiency of 91.2% and voltage gain of 1:8.

Electric vehicle, Proportional Integral controller, Photovoltaic system, SEPIC converter, Dragonfly algorithm, MATLAB software.

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