NSGA-III Based Compensation Circuit Design for Inductive Power Transfer

The conventional design and optimization of passive compensation network (PCN) for inductive power transfer (IPT) system is based on specific topologies. The demerits of this design method are: i) The topology is mostly chosen by experience; ii) The design parameters are not multi-objective optimal. Aiming at these issues, this paper proposes an optimal PCN design scheme based on evolutionary algorithm (EA) to synchronously optimize the topology and parameters of PCN for IPT system. The mathematical modeling of the PCN is presented and derived by transfer matrix. Then based on this mathematical modeling the multi-objective functions (output fluctuation and efficiency) for the PCN are established, as well as the constraints (load range and coupling range). The corresponding multi-objective optimal design algorithm based on EA is further constructed. Finally, one optimized PCN case that has minimum output current fluctuation and high-efficiency is chosen to validate the effectiveness of the proposed design scheme.