Particle Swarm Design Optimization of IPT Systems for Different Electric Vehicles

被引：2

作者：

Namadmalan, Alireza ^{[1
]}

Mattavelli, Paolo ^{[2
]}

Iqbal, Atif ^{[3
]}

机构：

[1] Jundi-Shapur University of Technology, Department of Electrical and Computer Engineering, Dezful,334-64615, Iran

[2] University of Padova, Department of Management and Engineering, Vicenza,36100, Italy

[3] Qatar University, Department of Electrical Engineering, Doha,2713, Qatar

来源：

IEEE Journal of Emerging and Selected Topics in Industrial Electronics | 2022年 / 3卷 / 03期

关键词：

D O I：

10.1109/JESTIE.2021.3096728

中图分类号：

学科分类号：

摘要：

This article introduces a new design optimization algorithm for series-series compensated inductive power transfer systems considering interoperability between different electric vehicles (EVs). This approach is essential for charging stations, where EVs with different power demands and battery voltage levels are supposed to be charged. In the proposed algorithm, the main parameters of the transmitter (Tx) coil and different receiver (Rx) coils are optimized for the EVs by using particle swarm optimization algorithm. The results show that the efficiency variation from the low power pick-up up to the high power pick-up is less than 3%. In comparison with SAE J2954 standard, the presented design optimization leads to a more interoperability between different EVs with better efficiencies. The optimized system has been verified by PSIM simulator and implementing two downscaled laboratory prototypes with output powers of about 500 and 375 W. © 2020 IEEE.

引用

页码：492 / 499

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