Work

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

Year: 2026

Type: article

Abstract: 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.

Source: Journal of Marine Science and Engineering

DOI: 10.3390/jmse14090835

Authors: Fuying Zheng, Yilin Liu, Jin Cai, Yuxiao Wang, Pan Sun, Changsong Cai

Institutions: Naval University of Engineering, Wuhan University

Language: English

Topic: Wireless Power Transfer Systems

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $3,137