研究目的
To address the difficulty of modeling a dynamic wireless power transfer (DWPT) system for electric vehicle charging due to changing mutual inductance with coil offset, by proposing a modeling method using equivalent circuit and state space averaging to build a dynamic model and verify its accuracy through simulation and model calculation comparisons.
研究成果
The established state space model for the segmented dynamic wireless charging system is accurate, as verified by consistency between simulation and model calculation results. The selection of buck duty cycle significantly influences system performance indexes such as output voltage stability, maximum output power, and maximum transmission efficiency.
研究不足
The paper does not explicitly mention specific limitations, but potential areas could include assumptions in the state space averaging method, sensitivity to parameter variations, and the need for experimental validation beyond simulation.
1：Experimental Design and Method Selection:
The methodology involves using equivalent circuit method and state space averaging to establish a dynamic model for the DWPT system. The theoretical models include state space equations derived from the equivalent circuit.
2：Sample Selection and Data Sources:
The system parameters are defined in Table 1, including component values such as inductances and capacitances, with mutual inductance changing with displacement as shown in Fig.
3：List of Experimental Equipment and Materials:
Components include inverters, LCC resonant compensation networks, launch coils, receiving coils, rectifiers with filters, and DC/DC converters (buck mode). Specific models or brands are not mentioned.
4：Experimental Procedures and Operational Workflow:
The process involves defining state variables, setting up state space equations for different switch states (on/off), converting to matrix form, and simulating with a sampling time of 0.001s and 1200 sampling points. Performance indexes (output voltage, power, efficiency) are calculated and compared under different buck duty cycles.
5：001s and 1200 sampling points. Performance indexes (output voltage, power, efficiency) are calculated and compared under different buck duty cycles.
Data Analysis Methods:
5. Data Analysis Methods: Data analysis includes calculating mean square error (MSE) of output voltage, average output power, and average power transfer efficiency using formula (8), and comparing simulation results with model calculations.
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