Unlocking Battery Potential through Novel Material Strategies
سال انتشار: 1404
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 59
فایل این مقاله در 6 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
DTUCONF02_004
تاریخ نمایه سازی: 17 خرداد 1405
چکیده مقاله:
As the global push toward clean and efficient energy intensifies, the development of advanced battery technologies has become a key priority. This research introduces a novel approach for improving lithium-ion battery performance by incorporating a vanadium–iron phosphate (VFP) structure into the cathode design. Through this material engineering, the modified cathodes exhibit substantially higher ion conductivity and enhanced structural stability, particularly under the demanding conditions typical of large-scale energy storage systems. The use of vanadium and iron offers a favorable alternative to more costly or environmentally taxing elements, aligning with sustainable manufacturing practices and reducing dependence on critical raw materials. Detailed electrochemical testing revealed notable gains in charge–discharge efficiency, energy density, and long-term cycling performance. Thermal analysis further confirmed the robustness of the VFP cathode under elevated temperatures, making it suitable for grid-level applications and electric mobility solutions where resilience and reliability are paramount. Importantly, the synthesis process remains compatible with current industrial practices, ensuring ease of scalability without major infrastructural changes. This work not only highlights the role of thoughtful material design in advancing energy technologies but also bridges a critical gap between ecological responsibility and high-performance engineering. The integration of affordability, sustainability, and technical excellence places this innovation at the forefront of next-generation battery development, offering promising solutions for future energy demands.
کلیدواژه ها:
نویسندگان
Ali Shekarian
Department of Computer and Data Sciences, Faculty of Mathematical Sciences, Shahid Beheshti University, Tehran, Iran