"OPTIMIZATION OF PHOTOVOLTAIC PANEL SURFACE AREA FOR EV ELECTROCHEMICAL ENERGY STORAGE SYSTEMS USING THE BEES ALGORITHM"

As the global demand for cleaner and more sustainable energy solutions continues to grow, optimizing renewable energy sources has become increasingly vital, especially in the context of Electric Vehicles (EVs). In electrochemical storage systems, several critical factors significantly impact the design and efficiency of these systems, which are essential for the development, widespread adoption, and mainstream acceptance of EVs. Key considerations, such as power output, charging/discharging cycles, capacity degradation, weight, size, and lifespan, must be carefully addressed by EV developers to enhance battery performance and longevity. However, some of these factors interact in a complex, nonlinear manner, making it challenging to adjust parameters effectively using traditional linear models. Therefore, addressing these complexities requires more advanced optimization techniques to effectively tackle this problem. This paper presents an innovative approach to optimizing the surface area of Photovoltaic (PV) panels used for charging Lithium Iron Phosphate (LFP) supercharged batteries in EVs, with careful consideration of the most crucial factors in battery design. The proposed mathematical model, utilizing the Bees Algorithm (BA), aims to reduce the PV panel surface area while maximizing energy efficiency, ensuring adequate power to maintain optimal vehicle performance. Preliminary results indicate a substantial reduction in the required surface area without sacrificing the functionality or efficiency of the charging process, paving the way for more sustainable electrochemical energy storage solutions in the automotive industry.