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 language | English |
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| Pages | 2622-2627 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2015 Jun 16 |
| Event | 2015 IEEE International Conference on Industrial Technology, ICIT 2015 - Seville, Spain Duration: 2015 Mar 17 → 2015 Mar 19 |
Other
| Other | 2015 IEEE International Conference on Industrial Technology, ICIT 2015 |
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| Country/Territory | Spain |
| City | Seville |
| Period | 15-03-17 → 15-03-19 |
All Science Journal Classification (ASJC) codes
- Computer Science Applications
- Electrical and Electronic Engineering