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.
Particle Swarm Design Optimization of IPT Systems for Different Electric Vehicles
Mattavelli P.;
2022
Abstract
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.Pubblicazioni consigliate
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