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磁耦合谐振式无线电能传输系统功效失步优化 被引量:1

Optimize on Power-efficiency Unsynchronization of Wireless Power Transfer Via Magnetic Resonance Coupling
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摘要 针对磁耦合谐振式(magnetic coupling resonant,MCR)无线电能传输(wireless power transmission,WPT)系统输出功率与传输效率数量级不匹配以及功效同步优化策略需特征融合Pareto最优解的问题,提出功率效率特征缩放的熵值法,以此对Pareto解集特征融合求权重,得到失步状态下的改进功效同步优化目标函数,实现输出功率与传输效率的同步提升。首先,通过确定影响双线圈MCRWPT系统输出功率和传输效率Pareto最优解的参数,采用所提出的熵值法对差分进化算法(differential evolution,DE)的目标函数进行改进。然后,基于功效工作特性和DE算法对改进的失步条件下的系统功效模型优化,模拟输出功率和传输效率随参数的变化。从仿真结果可知,双线圈MCRWPT系统的输出功率和传输效率同时都得到了提高。最后,通过实物系统搭建验证改进失步功效模型方法的有效性。 In order to solve problems that the output power of magnetic coupling resonant(MCR)wireless power transmission(WPT)system does not match the order of magnitude of transmission efficiency and the Pareto optimal solution of feature fusion is required for the power-efficiency synchronization optimization strategy,the entropy method of power and efficiency feature scaling is proposed to calculate the weight for the feature fusion of Pareto solution set,and the objective function of power-efficiency synchronization optimization of differential evolution(DE)algorithm is obtained.Synchronous improvement of output power and transmission efficiency is realized in the out-of-step state.Firstly,by determining the parameters affecting the Pareto optimal solution of output power and transmission efficiency of double coil MCR WPT system,the proposed entropy method is used to improve the objective function of DE algorithm.Then,using the power-efficiency working characteristics and DE algorithm,the improved power-efficiency model in the out-of-step state is optimized.The changes of output power and transmission efficiency with parameters are simulated.The simulation results show that the output power and transmission efficiency of double coil MCR WPT system were improved at the same time.Finally,the effectiveness of the improved DE algorithm is verified by the construction of the physical system.
作者 闫荣格 马文喆 杨庆新 张献 YAN Rongge;MA Wenzhe;YANG Qingxin;ZHANG Xian(State Key Laboratory of Reliability and Intelligence of Electrical Equipment(Hebei University of Technology),Hongqiao District,Tianjin 300130,China;Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province(Hebei University of Technology),Hongqiao District,Tianjin 300130,China)
出处 《中国电机工程学报》 EI CSCD 北大核心 2023年第4期1517-1524,共8页 Proceedings of the CSEE
基金 国家自然科学基金项目(51977147)。
关键词 磁耦合谐振 差分进化算法 特征融合 特征缩放 传输效率 输出功率 magnetic coupled resonance(MCR) differential evolution algorithm(DE) feature fusion feature scaling transfer efficiency output power
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