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Research on parameter optimization design of coreless transformer based on genetic algorithm.
Wenshuang Qin1, Yi Zhang1, Yufang Lu2
1School of Computer Science and Engineering, Guilin University of Technology, Guilin, 541004, Guangxi, China.
Scientific Reports
|December 15, 2025
Summary
Optimizing coreless transformer design using a genetic algorithm significantly boosts transmission efficiency (η). This method achieved a 71.7% efficiency, improving performance by over 54%.
Area of Science:
- Electrical Engineering
- Power Electronics
- Electromagnetics
Background:
- Transmission efficiency (η) in coreless transformers is influenced by multiple parameters.
- Key factors include inter-coil spacing (H), operating frequency (f₀), load (R<0xE2><0x82><0x97>), and actual operating frequency (f).
Purpose of the Study:
- To develop an optimized design for coreless transformers to maximize transmission efficiency (η).
- To investigate the impact of design parameters on transformer performance.
Main Methods:
- Utilized a random forest regression model to predict transmission efficiency (η) based on key parameters.
- Employed a genetic algorithm to optimize these parameters (f₀, H, R<0xE2><0x82><0x97>, f) for maximum efficiency.
- Designed, simulated, fabricated, and tested a prototype planar coreless transformer circuit.
Main Results:
- The optimized planar coreless transformer achieved a transmission efficiency (η) of 71.7%.
- This represents a 54.8% improvement compared to the unoptimized circuit.
- Demonstrated a 17.7% increase in efficiency over a directly designed, non-optimized circuit.
Conclusions:
- The proposed genetic algorithm optimization approach is highly effective for enhancing coreless transformer efficiency.
- Optimized designs lead to significant performance improvements in power transmission circuits.
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