A hybrid genetic algorithm with fuzzy logic controller for wireless power transmission system of electric vehicles

Wei Cheng Wang, Cheng-Chi Tai, Sheng Jie Wu, Zih Yi Liu

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)

Abstract

A hybrid genetic algorithm with the fuzzy logic controller is developed for the high-efficiency power control of a wireless power transmission system for electric vehicles. For power regulation, the constant-frequency phase-shifted PWM is applied to regulate the inverter transmission power. In traditional genetic algorithms, a large search interval was required to avoid getting stuck in local optima. In this case, when the search interval was optimized and gradually converged to the global optimum, the parameter optimization capability in the genetic algorithm would be largely enhanced. In this paper, the compensation scheme of leakage inductance and the coil windings parameters are first analyzed and evaluated; then, the genetic algorithm is used for optimizing the parameters of a fuzzy controller in order to achieve the feedback power control for the proposed control strategy. The simulation results show the effectiveness and superiority of the proposed power control method.

Original languageEnglish
Pages2622-2627
Number of pages6
DOIs
Publication statusPublished - 2015 Jun 16
Event2015 IEEE International Conference on Industrial Technology, ICIT 2015 - Seville, Spain
Duration: 2015 Mar 172015 Mar 19

Other

Other2015 IEEE International Conference on Industrial Technology, ICIT 2015
CountrySpain
CitySeville
Period15-03-1715-03-19

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

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