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Particle swarm index method for efficiency optimization of resonant power transmission system at too short distance

A technology of electric energy transmission system and particle swarm algorithm, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve the problem of inaccurate selection of particle size, and achieve the effect that is conducive to global search

Inactive Publication Date: 2018-07-31
HENAN NORMAL UNIV
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Problems solved by technology

[0003] The technical problem solved by the present invention is to provide a method for optimizing the efficiency of the resonant power transmission system at too short a distance. The method first determines the fitness function according to the mutual inductance between the transmitting and receiving coils, and then makes the particle size setting Set as the largest scale and the smallest scale, so that the particle size is reduced from the largest scale to the smallest scale, which solves the problem of inaccurate particle size selection in the process of particle swarm selection

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  • Particle swarm index method for efficiency optimization of resonant power transmission system at too short distance
  • Particle swarm index method for efficiency optimization of resonant power transmission system at too short distance

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Embodiment Construction

[0019] The specific content of the present invention will be described in detail in conjunction with the accompanying drawings. The invention is mainly aimed at the resonant power transmission system at too short distance, and uses the improved particle swarm algorithm to reduce the particle size, and the algorithm can quickly find the point of maximum efficiency and its corresponding frequency. The following is illustrated by a specific concrete example and simulated with Matlab. Particle swarm optimization algorithm process see figure 1 , the particle swarm index method for optimizing the efficiency of the resonant power transmission system at too short a distance, the specific implementation steps are:

[0020] (1) Initialization algorithm, including setting the particle population dimension D, the maximum number of iterations MaxNum, and limiting the maximum particle velocity v max , initialize the inertia weight w, randomly initialize the velocity v of the particle and ...

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Abstract

The invention discloses an excessively-close-range particle-swarm exponential method for optimizing the efficiency of a resonant electric energy transmitting system. The particle-swarm scale in a general particle-swarm algorithm is independently set and includes the largest particle-swarm scale Nmax=30 and the smallest particle-swarm scale Nmin=2, and the particle-swarm scale is gradually reduced along with increasing of the number of iterations. The overall reducing mode of the particle-swarm scale is similar to an exponential-change curve. By means of the algorithm, searching time can be shortened.

Description

technical field [0001] The present invention relates to the technical field of magnetically coupled wireless power transmission, in particular to the field of methods for finding the efficiency of a coupled resonant power transmission system in the near-field region, specifically an ion group index method for optimizing the efficiency of a resonant power transmission system at too short a distance. Background technique [0002] As a new power storage and transmission technology, non-contact power transmission technology has attracted more and more attention from researchers at home and abroad. It has broad application prospects in the industrial field. Electromagnetic coupling resonance has achieved a breakthrough in power transmission methods. This technology has aroused great interest in the industry and has become a research hotspot at home and abroad. For a system, when the transceiver coil is too close to transmit electric energy, the transmission efficiency of the magn...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F19/00G06N3/00
Inventor 王萌刘伟娜施艳艳景建伟范悦王璨孙长兴
Owner HENAN NORMAL UNIV
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