Optimization Of Photovoltaic Panel Surface Area for Ev Electrochemical Energy Storage Systems Using The Bees Algorithm | ||
| Egyptian Journal of Chemistry | ||
| Volume 68, Issue 11, November 2025, Pages 231-241 PDF (392.59 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/ejchem.2025.354354.11202 | ||
| Authors | ||
| Heba A Makhlouf1; Mohammad Sammany* 2; Mostafa Aly Refay Eltokhy1; Reda Massoud Hendy Juma3; Ayman Haggag Haggag4 | ||
| 1Electronics Technology Department, Faculty of Technology and Education, Helwan University, 30 Elsawah St., Elamiriya, P.O. Box 11813, Cairo, Egypt | ||
| 2Faculty of Pharmacy, Heliopolis University for Sustainable Development | ||
| 3Faculty of Education- Banha University, Fareed Neda St. Banha, Qalyubia Governorate 13511, Egypt | ||
| 4Electronics Technology Department, Faculty of Technology and Education, Helwan University | ||
| Abstract | ||
| Abstract 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. | ||
| Keywords | ||
| Keywords: Electric Vehicles (EVs); Lithium Iron Phosphate (LFP); Mathematical Model; Meta-heuristic Algorithms; Bees Algorithm (BA) | ||
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