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

研究成果: Paper同行評審

2 引文 斯高帕斯(Scopus)

摘要

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.

原文English
頁面2622-2627
頁數6
DOIs
出版狀態Published - 2015 六月 16
事件2015 IEEE International Conference on Industrial Technology, ICIT 2015 - Seville, Spain
持續時間: 2015 三月 172015 三月 19

Other

Other2015 IEEE International Conference on Industrial Technology, ICIT 2015
國家/地區Spain
城市Seville
期間15-03-1715-03-19

All Science Journal Classification (ASJC) codes

  • 電腦科學應用
  • 電氣與電子工程

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