磁耦合谐振式无线电能传输系统功效失步优化

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.