Optimization of the Multi-Antiparallel Coil for Separation-Insensitive Mutual Inductance Using Ternary-Coding-Based Genetic Algorithm

Resorting to the superposition principle of mutual inductance, multi-antiparallel coil (MAC) is able to obtain stable mutual inductance as the separation between transmitting and receiving coils changes, which is attractive for range-stable wireless power transfer. This paper presents a new method for the optimal design of MAC. The status of every coil is denoted by a ternary code, and the status code is optimized by a genetic algorithm (GA) to maximize a properly designed fitness function. The global searching ability of GA allows for achieving better design performance than the point matching design method. Besides, with the aid of ternary coding, the GA searching space is limited, and the optimization effort can be reduced.