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Optimal design of the rectangular transmission coils for dual-load wireless power transfer system
Jun Cai1,2, Tao Zheng1, Adrian David Cheok1
1C-MEIC, CICAEET, School of Automation, Nanjing University of Information Science and Technology, Nanjing 210044, China.
This study introduces an efficient rectangular coil design for dual-load wireless power transfer (WPT) systems. A hybrid finite element method (FEM) and backpropagation neural network (BPNN) approach optimizes coil dimensions for improved WPT performance.
Area of Science:
- Electrical Engineering
- Electromagnetics
- Wireless Power Transfer
Background:
- Wireless Power Transfer (WPT) systems are increasingly adopted for charging devices.
- Efficient coil design is crucial for optimizing WPT system performance and cost.
- Dual-load WPT systems require specialized coil designs to manage multiple receivers.
Purpose of the Study:
- To present a systematic design methodology for transmission coils in dual-load WPT systems.
- To develop an accurate and efficient modeling approach for rectangular WPT coils.
- To optimize coil dimensions for cost-effectiveness and performance.
Main Methods:
- Established system circuit and mathematical dimension models for coupling coils.
- Compared Finite Element Method (FEM), greenhouse formula, and Backpropagation Neural Network (BPNN) for inductance calculation.
- Selected a hybrid FEM-BPNN method for accurate coil inductance modeling and geometric mapping for dimension determination.
Main Results:
- Developed a hybrid FEM-BPNN model demonstrating high accuracy for rectangular coil inductance prediction.
- Determined the relationship between coil size, turns, and inductance for efficient design.
- Identified optimal rectangular coil dimensions through geometric mapping and cost estimation.
Conclusions:
- The proposed systematic design method, utilizing a hybrid FEM-BPNN approach, offers an efficient and accurate solution for dual-load WPT rectangular coils.
- The methodology enables precise determination of coil parameters, leading to optimized system performance and cost.
- Simulations and experimental verifications confirm the validity and effectiveness of the presented design strategy.
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