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针对感应电能传输系统原边串联–副边并联的拓扑结构,发现利用传统原边电流恒定的控制方式在负载变化时不易实现输出稳压,因此提出一种简单的基于原边电压恒定来实现输出稳压的方法,研究了其适用的约束条件。针对ICPT系统多参数多约束的特点,引入遗传算法对系统的参数进行优化设计,利用动态函数改进适应度函数定标及变异算子提高算法性能。仿真和实验结果表明:输出电压在大范围负载切换中具有良好的稳定性,原边电流能够根据负载需求自适应变化;系统实现了低成本、低开关损耗设计,且参数均达到设计要求。证明了原边恒压控制及参数遗传优化的有效性。
Aiming at the topology structure of primary-side parallel-secondary parallel connection of inductive power transfer system, it is found that it is not easy to achieve output regulation when the load is changed by using the control method with a constant current of the primary side. Therefore, a simple output voltage stabilization based on the primary side voltage Regulated method, studied its applicable constraints. Aiming at the characteristics of multi-parameter and multi-constraint in ICPT system, the genetic algorithm is introduced to optimize the system parameters. The dynamic function is used to improve the fitness function calibration and mutation operator to improve the performance of the algorithm. The simulation and experimental results show that the output voltage has good stability in a wide range of load switching and the primary current can adaptively change according to the load demand. The system achieves low cost and low switching loss design, and the parameters meet the design requirements. It proves the validity of primary constant voltage control and genetic optimization.