Coil Optimization using Metaheuristic Techniques for Wireless Charging of Electric Vehicles - A Comparative Analysis.

• Main Authors: Imtiaz T., Elsanabary A., Mekhilef S., Mubin M.B., Soon T.K., Aziz N.F.A.
• Other Authors: 57216687062
• Format: Conference Paper
• Published: Institute of Electrical and Electronics Engineers Inc. 2024
• Subjects: ABC; Coil; DE; Misalignment; Opti-mization; PSO; Wireless Power Transfer; Alignment; Charging (batteries); Energy transfer; Inductive power transmission; Particle swarm optimization (PSO); Transmitters; Artificial bee colony; Artificial bees; Differential Evolution; Particle swarm; Particle swarm optimization; Receiver coil; Swarm optimization; Electric vehicles

Wireless Power Transfer (WPT) used for charging of electric vehicles (EVs), suffers from the problem of misalignment. In this paper metaheuristic optimizing techniques are used to increase the misalignment tolerance of the receiver coil. This is done by optimizing the length of each turn of the transmitter coil such that a uniform magnetic field density is produced over the charging area, which is kept 26% higher than the transmitting coil area which further aids to accommodate misalignment of the receiver coil. Differential Evolution (DE), Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC) optimization algorithms are used to obtain the lengths of all the turns of the transmitter coil. These algorithms are also compared by varying the number of turns while keeping the number of iterations to a fixed value. � 2023 IEEE.