TY - GEN
T1 - Coil Parameters Optimization for Dynamic Wireless Charging of Electric Vehicles using Particle Swarm Optimization (PSO) Algorithm
AU - Kapanov, Adilkhan
AU - Almaganbet, Ali
AU - Yazdi, Seyed Saeid Heidari
AU - Bagheri, Mehdi
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - Dynamic wireless charging of EVs is an autonomous and user-friendly method for wireless battery charging of electric vehicles. However, the power transmission efficiency of the system is affected by the design of the transmitter and receiver coils. The main objective of this research is to optimize the design parameters of the transmitter and receiver coils using the Particle Swarm optimization (PSO) Algorithm. In the optimization the vertical distance between magnetic coils is dictated by the car model and the air core inductive resonant wireless power transfer (WPT) system is considered. Validity of the optimized coil parameters is ensured by performing finite element simulation in the ANSYS Electronics Desktop platform.
AB - Dynamic wireless charging of EVs is an autonomous and user-friendly method for wireless battery charging of electric vehicles. However, the power transmission efficiency of the system is affected by the design of the transmitter and receiver coils. The main objective of this research is to optimize the design parameters of the transmitter and receiver coils using the Particle Swarm optimization (PSO) Algorithm. In the optimization the vertical distance between magnetic coils is dictated by the car model and the air core inductive resonant wireless power transfer (WPT) system is considered. Validity of the optimized coil parameters is ensured by performing finite element simulation in the ANSYS Electronics Desktop platform.
KW - Dynamic wireless charging
KW - electric vehicle
KW - flat spiral coil
KW - inductive resonant power transfer
KW - particle swarm optimization
UR - http://www.scopus.com/inward/record.url?scp=85178106464&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85178106464&partnerID=8YFLogxK
U2 - 10.1109/ACEMP-OPTIM57845.2023.10287037
DO - 10.1109/ACEMP-OPTIM57845.2023.10287037
M3 - Conference contribution
AN - SCOPUS:85178106464
T3 - Proceedings of the International Conference on Optimisation of Electrical and Electronic Equipment, OPTIM
BT - 2023 International Aegean Conference on Electrical Machines and Power Electronics and 2023 International Conference on Optimization of Electrical and Electronic Equipment, ACEMP-OPTIM 2023
PB - Transilvania University of Brasov 1
T2 - 2023 International Aegean Conference on Electrical Machines and Power Electronics and 2023 International Conference on Optimization of Electrical and Electronic Equipment, ACEMP-OPTIM 2023
Y2 - 1 September 2023 through 2 September 2023
ER -