Due to the application of wireless charging for intelligent pallets, based on the proposed multi-stage wireless power transfer (WPT) system, this paper analyzes the mutual interference between different stages, the parameter conditions of cross-coupling between different stages are obtained, and the sensitivity of output voltages at all stages to mutual inductance and each load are reduced. In addition, the effects of the resonant network parameters on the inverter output voltage and efficiency are investigated, based on which a parameter design strategy is developed to enhance the overall transfer efficiency and system stability is improved. Finally, a five-stage WPT system is designed, and the proposed method is validated.
Wireless power transfer (WPT) technology is widely used in marine engineering, yet factors such as waves cause persistent fluctuations in coupling inductance and power transmission. To achieve constant power transfer on offshore floating platforms, this paper proposes an integrated modeling and control framework for the WPT system with a series Buck converter on the receiver side. The constant voltage output disturbance rejection control is achieved by dynamically adjusting the duty ratio of the Buck. For accurate large-signal modeling of the Buck under wide input voltage variations, a data-driven identification-based linear parameter varying (LPV) modeling approach is introduced, offering high practicality. Furthermore, the model predictive controller (MPC) is designed to handle the time-varying dynamics of the LPV model. Experiments simulating mutual inductance variations by lateral misalignment and angular variation of coils verify that the proposed strategy maintains output voltage fluctuations within 3%, delivers 1 kW transmission power, and 85% efficiency, confirming its feasibility and effectiveness.
To address the significant impact of positional deviation during unmanned aerial vehicle (UAV) landing on the power transfer efficiency of wireless power transfer (WPT) systems, this paper proposes a Multi-Transmitter Array Wireless Power Transfer (MTA-WPT) system. A theoretical analysis is conducted on the influence of input voltage amplitude and phase on receiver power and efficiency under different mutual inductance matrices. Through simulation, a topology with five transmitting coils and one receiving coil is ultimately selected. By introducing a Particle Swarm Optimization (PSO) algorithm to adjust the input voltage amplitude and phase, the system achieves improved charging efficiency while maintaining stable power output during the horizontal translation of the receiver above the coil array. Experimental validation demonstrates that when the UAV battery is charged at a power level of approximately 30 W, the system efficiency increases by up to 10.16 % compared to operation without algorithm control. The proposed solution effectively mitigates charging instability caused by inaccurate UAV landing, providing reliable wireless charging support for UAVs under positional offset.
This article presents a cost-effective electric vehicle (EV) dynamic wireless charging (DWC) system, which enables sufficient and continuous power transfer to the receiver without demanding an inordinate amount of semiconductor devices and passive elements, the establishment of a real-time communication link between the ground and vehicle assemblies, or the deterioration of the receiver power density. A single high-frequency inverter (HFI) along with a series reactive power compensator (SRPC) configuration is employed for the energization of multiple resonant tanks, composed of track-based magnetic couplers and series compensation capacitors, whilst the integrated AC switching (ACS) subsystem facilitates their selective activation. The SRPC incorporation contributes to the suppression of the charging power fluctuations and the accomplishment of zero-voltage switching (ZVS) transitions for the HFI power devices. Extensive finite element analysis (FEM) tests, realized on ANSYS MAXWELL, are utilized for the explicit design of proposed couplers, aiming at the minimization of the overall laying cost. Additionally, a comprehensive co-simulation study, conducted on the software packages MATLAB/Simulink and PLECS, is deployed for the obtainment of steady-state and dynamic results, which substantiate the effectiveness and smooth operation of the proposed system. Concurrently, a power loss analysis along with a PLECS thermal study is carried out for the evaluation of the dynamic EV charger performance.
A double-coil structure usually needs to be configured with two independent rectifiers to realize power integration through series or parallel connection. However, the decoupling between multiple coils largely depends on the geometric design, which imposes strict constraints on the magnetic coupling structure. In this paper, the decoupling of the DDQ coil is realized only by adding passive components, and the power integration can be realized only by adding bridge arms to the full-bridge rectifier. This method significantly improves the misalignment tolerance, interoperability, and design flexibility of DDQ windings. A 1.7 kW prototype is developed. The experimental results show that the output current fluctuation is only 13.3%, and the efficiency is always higher than 80% even in the 60% lateral misalignment range of the external dimension.
