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- W2896579880 abstract "As technology advances, wireless charging system of electric vehicles(EVs) based on magnetic resonance becomes prevalent. A novel parameter identification method of primary side compensation capacitance and coil inductance in wireless charging system is proposed. According to the typical resonance equivalent circuit of wireless charging system, current effective value equation of primary side is established. And then, based on the current effective value equation, input signal frequency constraint equation of current extremum is established. By detecting primary side real-time current and using Fourier transform on primary side transient current waveform, two characteristic quantities are extracted. Finally, unknown parameters (primary side capacitance and inductance) in both equations are identified utilizing the adaptive particle swarm optimization. The simulation results show that the method proposed is feasible and the identification accuracy is high." @default.
- W2896579880 created "2018-10-26" @default.
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- W2896579880 date "2018-07-01" @default.
- W2896579880 modified "2023-10-01" @default.
- W2896579880 title "Parameter Identification of Primary Side in Wireless Charging System Based on Adaptive Particle Swarm Optimization" @default.
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- W2896579880 doi "https://doi.org/10.23919/chicc.2018.8483447" @default.
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