Particle Swarm Optimization Based Modulation Design of Series-Series Compensated Inductive Power Transfer for Constant Voltage Output With High Efficiency over a Wide Load Range

Iok-U. Hoi, Io-Wa Iam, Zhicong Huang, C. Lam
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Abstract

To maintain high efficiency over a wide range of load, inductive power transfer (IPT) converter should have the ability of load impedance matching. Recently, a series-series compensated IPT converter with semi-active rectifier has been studied to output a constant voltage, while keep high efficiency by changing the load impedance and the operating frequency. However, the relationships among the power efficiency, output voltage and the load conditions are complicated and not intuitive, and also challenging the design and implementation of this converter. This paper proposes a Particle Swarm Optimization (PSO) algorithm to seek for the optimum modulation for constant voltage and high efficiency over a wide load range. This method is efficient, logical and intuitive, shortening over 95% of the conventional computation time.
基于粒子群优化的宽负载范围恒压高效率串联补偿电感功率传输调制设计
为了在大负载范围内保持高效率,电感式功率传输(IPT)变换器必须具有负载阻抗匹配的能力。近年来,研究了一种带半有源整流器的串联补偿IPT变换器,通过改变负载阻抗和工作频率,在输出恒定电压的同时保持高效率。然而,功率效率、输出电压和负载条件之间的关系复杂且不直观,也给该变换器的设计和实现带来了挑战。本文提出了一种粒子群优化算法(PSO),用于在大负载范围内寻求恒电压和高效率的最佳调制。该方法具有效率高、逻辑性好、直观等特点,可将常规计算时间缩短95%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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