Hybrid GEO-PO Algorithm for Dual-Input Wireless Power Transfer and Photovoltaic-Fed DC-DC Converter in Electric Vehicle Charging Applications

The increasing demand for efficient and sustainable electric vehicle (EV) charging solutions has driven the development of advanced multi-input charger systems. This paper introduces a closed-loop EV charger powered by dual energy inputs, i.e., wireless power transfer (WPT) and photovoltaic (PV) sou...

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Vydáno v:Revista IEEE América Latina Ročník 23; číslo 10; s. 888 - 900
Hlavní autoři: Mattaparthi, Ganesh Babu, P, Srinivasa Rao Nayak
Médium: Journal Article
Jazyk:angličtina
Vydáno: Los Alamitos IEEE 01.10.2025
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Battery chargers
Closed loops
Coils
Controllers
Direct current
Dual-input converter (DIC)
Dynamic characteristics
Electric potential
Electric vehicle charging
Electric vehicle charging stations
Electric vehicles
Electric Vehicles (EVs)
Golden Eagle Optimization (GEO)
Heuristic algorithms
Hybrid GEO-PO (Golden Eagle Optimization and Puma Optimizer) algorithm
Hybrid power systems
Optimization
Photovoltaic cells
PI control
Proportional integral
Puma Optimizer (PO)
Renewable energy sources
Voltage
Voltage control
Voltage converters (DC to DC)
Wireless power transfer
Wireless Power Transfer (WPT)
Wireless power transmission
ISSN:1548-0992, 1548-0992
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Shrnutí:The increasing demand for efficient and sustainable electric vehicle (EV) charging solutions has driven the development of advanced multi-input charger systems. This paper introduces a closed-loop EV charger powered by dual energy inputs, i.e., wireless power transfer (WPT) and photovoltaic (PV) sources. The dual-input charger integrates these energy sources to ensure stable and efficient constant voltage battery charging. The output voltage is continuously compared with the required EV battery charging voltage and regulated using a proportional-integral (PI) controller. To address the nonlinear and dynamic characteristics of the input sources, a novel Hybrid GEO-PO optimization algorithm, which combines the strengths of the Golden Eagle Optimizer (GEO) and the Puma Optimizer (PO), is proposed to determine the optimal PI controller parameters. MATLAB/Simulink simulations and experimental validation demonstrate that the Hybrid GEO-PO algorithm outperforms its parent algorithms in regulating EV battery charging voltage. The hybrid algorithm achieves faster response times, lower overshoot, and enhanced robustness compared to the standalone GEO and PO algorithms. Additionally, the successful implementation of the system using an FPGA controller highlights its practicality and suitability for real-world applications. This study establishes the Hybrid GEO-PO algorithm as a superior and promising approach for optimizing dual-input EV chargers, paving the way for next-generation intelligent charging infrastructure.
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ISSN:1548-0992
1548-0992
DOI:10.1109/TLA.2025.11150632