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Optimization of wireless charging system by multiverse algorithm combining adaptive compression factor and Cauchy

Chunming Wen1,2, Zhen Chen3, Huilin Ma3

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Summary
This summary is machine-generated.

This study optimizes Magnetically Coupled Resonant Wireless Power Transfer (MCR WPT) systems for improved efficiency and power. The optimized system achieves enhanced long-distance performance with a 0.25m optimal transmission distance and 127W maximum output power.

Keywords:
Adaptive compression factorCauchy variationMulti-objective parameter optimizationMultiverse algorithmWireless charging

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Area of Science:

  • Electrical Engineering
  • Power Electronics
  • Wireless Power Transfer

Background:

  • Existing Magnetically Coupled Resonant Wireless Power Transfer (MCR WPT) systems face limitations in transmission efficiency and power due to factors like distance and load.
  • Simultaneous optimization of all performance parameters in MCR WPT systems is challenging.

Purpose of the Study:

  • To propose and validate a multi-objective parameter optimization method for MCR WPT systems.
  • To enhance the transmission efficiency, output power, and long-distance performance of MCR WPT systems.

Main Methods:

  • Analysis of LCC-S topology and equivalent circuits to identify key performance-affecting parameters.
  • Application of the Multi-Objective Multi-Verse Optimizer (MOMVO) algorithm with modified wormhole refreshment probability (logarithmic growth).
  • Incorporation of an adaptive compression factor and Cauchy's variance into the MOMVO algorithm for improved convergence and escape from local optima.

Main Results:

  • The optimized MCR-WPT system demonstrates significantly improved long-distance transmission performance.
  • The system achieved an optimal transmission distance of 0.25 meters.
  • The maximum output power reached 127 Watts.

Conclusions:

  • The proposed multi-objective parameter optimization effectively enhances MCR WPT system performance.
  • The modified MOMVO algorithm provides a robust approach for optimizing complex WPT systems.
  • Experimental validation confirms the enhanced efficiency and power delivery of the optimized MCR-WPT system prototype.