Title: Hybrid optimisation technique for electric vehicle battery charging via wireless power transfer with exergy analysis

Authors: Dharani Mahalingam; Ravi Kuppan

Addresses: School of Electrical Engineering, Vellore Institute of Technology, Vellore, India ' School of Electrical Engineering, Vellore Institute of Technology, Vellore, India

Abstract: A hybrid method for electric vehicle (EV) charging-based wireless power transfer (WPT) system combines sand cat swarm optimisation (SCSO) and tree hierarchical deep convolutional neural network (THDCNN), named SCSO-THDCNN. SCSO generates control signals, which THDCNN optimises. The transmitter-coil creates an alternating magnetic field, and an AC/DC converter with power-factor adjustment converts alternating current (AC) power to direct current (DC). The design includes variable inductor control for constant-current (CC) and constant-voltage (CV) battery-charging profiles with misalignment tolerance. Implemented in MATLAB, the proposed model achieves 95% efficiency, surpassing existing methods.

Keywords: energy management; wireless charging; electric vehicle; battery; wireless power transfer; WPT; inductive power transfer; IPT; energy efficiency; charging performance; exergy analysis; exergy efficiency.

DOI: 10.1504/IJEX.2025.148559

International Journal of Exergy, 2025 Vol.48 No.1, pp.82 - 100

Received: 05 Jun 2024
Accepted: 30 Jul 2024
Published online: 11 Sep 2025 *

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