Design and Implementation of Wireless Charger for <scp>EV</scp> With High Alignment Tolerance: Gannet Optimization Algorithm ( <scp>GOA</scp> )
A. Singaravelan et al.
What the paper says
ABSTRACT This manuscript proposes an optimization approach for an electric vehicle (EV) battery charging‐driven wireless power transfer (WPT) system. The Gannet Optimization Algorithm (GOA) is the proposed approach. First, the great superiority of unevenly spaced transmitter coils is illustrated. The primary side DC/AC inverter is controlled by using the proposed method. The two compensation topologies examined are double‐sided Inductor Capacitor‐Capacitor (LCC) and series‐series (S‐S). For the purpose of charging electric vehicles, a highly‐effective WPT system that depends on magnetic resonant coupling is created. In terms of the distribution of the magnetic field (MF) produced by the enhanced transmitter coil, the receiver coil with a variable radius size at each turn is also introduced. The GOA technique is performed and the performance is evaluated utilizing current procedures in the MATLAB platform. The proposed approach displays better results than existing approaches like the Heap‐Based Optimizer (HBO), Wild Horse Optimizer (WHO), and Circle Search Algorithm (CSA). From the results, it is concluded that the GOA method achieves higher efficiency compared to existing techniques.
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.50 × 0.4 = 0.20 |
| M · momentum | 0.50 × 0.15 = 0.07 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.