آمار

تعداد نشریات9
تعداد شماره‌ها446
تعداد مقالات5,719
تعداد مشاهده مقاله8,018,496
تعداد دریافت فایل اصل مقاله6,527,293
Sathish, R, Sekar, V. (1404). Renewable Energy-Fed EV Charging Station Utilizing Z-Source Quadratic Improved Boost Zeta Converter with Optimized RBFNN MPPT Control. نشریه مهندسی عمران امیرکبیر, (), -. doi: 10.22060/eej.2025.24346.5688
R Sathish; V Sekar. "Renewable Energy-Fed EV Charging Station Utilizing Z-Source Quadratic Improved Boost Zeta Converter with Optimized RBFNN MPPT Control". نشریه مهندسی عمران امیرکبیر, , , 1404, -. doi: 10.22060/eej.2025.24346.5688
Sathish, R, Sekar, V. (1404). 'Renewable Energy-Fed EV Charging Station Utilizing Z-Source Quadratic Improved Boost Zeta Converter with Optimized RBFNN MPPT Control', نشریه مهندسی عمران امیرکبیر, (), pp. -. doi: 10.22060/eej.2025.24346.5688
Sathish, R, Sekar, V. Renewable Energy-Fed EV Charging Station Utilizing Z-Source Quadratic Improved Boost Zeta Converter with Optimized RBFNN MPPT Control. نشریه مهندسی عمران امیرکبیر, 1404; (): -. doi: 10.22060/eej.2025.24346.5688

Renewable Energy-Fed EV Charging Station Utilizing Z-Source Quadratic Improved Boost Zeta Converter with Optimized RBFNN MPPT Control

AUT Journal of Electrical Engineering
مقالات آماده انتشار، پذیرفته شده، انتشار آنلاین از تاریخ 05 دی 1404    اصل مقاله (2.45 M)
نوع مقاله: Research Article
شناسه دیجیتال (DOI): 10.22060/eej.2025.24346.5688
نویسندگان
R Sathish* 1؛ V Sekar2
1Research scholar, Department of Electrical and Electronics Engineering, School of Engineering and Technology, Dhanalakshmi Srinivasan University, Samayapuram, 621112, India.
2Dean, School of Engineering and Technology, Dhanalakshmi Srinivasan University, Samayapuram, 621112, India.
چکیده
PV-based EV charging stations offer economic advantages, including decreased operational costs, reduced grid dependency during peak hours, and enhanced consistency through the addition of local energy storage systems. This work presents a novel approach for integrating Renewable Energy Sources (RESs), specifically Photovoltaic (PV) systems, into Electric Vehicle (EV) charging stations. Proposed research utilizes a Z-source Quadratic Improved Boost Zeta (Z-SQ-IBZ) converter coupled with a Crayfish Optimization Algorithm based Radial Basis Function Neural Network (COA-RBFNN) Maximum Power Point Tracking (MPPT) algorithm for enhancing power extraction efficiency from PV arrays. Energy management and power balancing between PV energy generation and storage system are enabled through bidirectional DC-DC converter interfacing battery storage and DC link. Proposed PV-based EV charging system is implemented in MATLAB Simulink, and novel Z-SQ-IBZ converter attains enhanced efficiency of 96.63% with improved voltage and minimized voltage stress. The novel COA optimised RBFNN MPPT effectively tracks optimal power with improved tracking efficiency of 99.81%. MATLAB simulation results demonstrate that proposed topology effectively manages energy flow, optimises PV power utilisation, and constantly supports EV charging demands, making it appropriate for efficient EV charging station applications.
کلیدواژه‌ها
RES؛ PV؛ EV؛ Z-source Quadratic Improved Boost Zeta converter؛ COA-RBFNN MPPT algorithm
آمار
تعداد مشاهده مقاله: 75
تعداد دریافت فایل اصل مقاله: 58


سامانه مدیریت نشریات علمی. طراحی و پیاده سازی از سیناوب