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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wei-Cheng Wang Cheng-Chi Tai Sheng-Jie Wu Zih-Yi Liu |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan (Wei-Cheng Wang; Cheng-Chi Tai; Sheng-Jie Wu; Zih-Yi Liu) |
| 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. |
| Starting Page | 2622 |
| Ending Page | 2627 |
| File Size | 1094180 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479978007 |
| DOI | 10.1109/ICIT.2015.7125484 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-03-17 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Couplings Genetic algorithms Niobium Capacitance Power transmission Fuzzy logic Wireless communication fuzzy control electric vehicle wireless power transfer genetic algorithm |
| Content Type | Text |
| Resource Type | Article |
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