Research on a Multi-Parameter Identification Method for Underwater Inductive Power Transfer Systems

In underwater inductive power transfer (IPT) systems, the variation of eddy-current losses with frequency can degrade the accuracy of parameter identification. To address this issue, this paper proposes a multi-parameter identification method for a double-sided LCC system. First, based on the circuit model and the frequency dependence of the equivalent eddy-current loss resistance, six sets of equations are established, transforming the parameter identification problem into an optimization problem. Then, to balance global search capability and convergence speed, a hybrid particle swarm optimization algorithm is employed to identify the unknown parameters. Simulation and experimental results show that, under different coil spacings, load conditions, and medium conductivities, the proposed method can accurately identify key parameters, with the overall relative error controlled within 5%. This method is applicable to parameter monitoring and performance regulation of underwater IPT systems.