Engineering Review, Vol. 46 No. 1, 2026.
Original scientific paper
https://doi.org/10.30765/er.2824
Design and analysis of feedback controller for WPT-PV-fed dual-input onboard EV charger using JAYA optimization algorithm
Ganesh Babu Mattaparthi
; Department of Electrical and Electronics Engineering, National Institute of Technology Tiruchirappalli, Tamil Nadu 620015, INDIA
*
Srinivasa Rao Nayak P
; Department of Electrical and Electronics Engineering, National Institute of Technology Tiruchirappalli, Tamil Nadu 620015, INDIA
* Corresponding author.
Abstract
The demand for robust and reliable electric vehicle (EV) charging infrastructure has accelerated the exploration of advanced charging systems utilizing multiple energy sources. In this context, a dual-input EV charger powered by Wireless Power Transfer (WPT) and Photovoltaic (PV) sources is proposed in this paper. The charger system employs a Proportional-Integral (PI) controller to regulate the output voltage by comparing it with the required battery charging voltage. Given the nonlinear and time-varying nature of the input sources, tuning the controller using conventional methods proves inadequate. Therefore, a metaheuristic-based optimization technique, known as the JAYA algorithm, is utilized to determine the optimal PI controller parameters for improved voltage regulation. The closed-loop system performance is verified through MATLAB/SIMULINK simulations, and further validated using a laboratory-developed prototype controlled via an FPGA platform. The results demonstrate that the JAYA-tuned controller significantly enhances transient performance and voltage stability under various input fluctuations and load disturbances. The practical implementation confirms the effectiveness of the proposed system, offering a viable solution for next-generation EV charging applications.
Keywords
Dual-input buck boost converter (DIbB); Dual-input converter (DIC); Electric Vehicles (EVs); JAYA algorithm; Receiver (Rx); Transmitter (Tx); Wireless Power Transfer (WPT)
Hrčak ID:
349207
URI
Publication date:
15.1.2026.
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