Field Control Method for Coupling Efficiency Improvement of Two-dimensional Dynamic Wireless Charging System with Multiple Transmitter Coils

Hong, Yunshan; Wang, Junhua; Cai, Changsong; Liu, Qisheng; Luo, Yang; Wan, Leke

doi:10.1109/cefc55061.2022.9940656

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2024

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“…Figure 4 illustrates the control structure, where the input to the BP neural network is set as the reference value r, the output value y, and the error e. The outputs are k p , k i , and k d , corresponding to the three coefficients from the output layer as shown in Figure 5. The PID method [21][22][23][24] is employed to achieve closed-loop control of the system, with its output u(k) serving as the phase-shift angle control signal for the full-bridge rectifier or full-bridge inverter. By adjusting the phase-shift angle on the secondary side, a constant voltage control mode is achieved.…”

Section: Controller Structurementioning

confidence: 99%

BP-Adaptive PID Regulation for Constant Current and Voltage Control in WPT Systems

Guo,

Sun,

Shi

et al. 2024

WEVJ

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To enhance the stability and disturbance rejection of wireless charging systems for electric vehicles, we designed a bilateral collaborative control strategy based on BP neural networks, achieving closed-loop constant voltage control for the secondary rectification circuit. Integrating BP neural network adaptive PID parameters with dual-phase-shift control, this strategy outperforms conventional incremental PID controllers in terms of response time and overshoot. Validated on an 11 kW experimental platform, our approach demonstrated efficient response under disturbances; with a load switch from 10 Ω to 12 Ω, the system exhibited a mere 5% fluctuation rate and an impressive efficiency of up to 92.96%.

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Section: Controller Structurementioning

confidence: 99%