TY - JOUR
T1 - Multi Parameter Identification and Battery Charging Control of UWPT System Based on Primary Measurement
AU - Xu, Yapan
AU - Mao, Zhaoyong
AU - Cheng, Bo
AU - Liang, Bo
AU - Ma, Yayu
AU - Pang, Shengzhao
AU - Chen, Jie
AU - Song, Baowei
N1 - Publisher Copyright:
© 1972-2012 IEEE.
PY - 2026
Y1 - 2026
N2 - Underwater wireless power transfer (UWPT) technology offers an effective solution to the energy constraints of underwater vehicles by enabling in-situ and real-time energy replenishment. However, the UWPT system circuit becomes more complex than the aerial counterpart due to eddy current effects. Furthermore, the roll motion of vehicles and seawater flow cause misalignment between the underwater vehicle and the energy base station, which disturbs system parameters and significantly reduces efficiency. In this paper, a two-layer online parameter identification method is proposed based on an improved circuit model that accounts for eddy current effect. Through primary port information measured and impedance calculation, the coil self-inductance, mutual inductance, load resistor, roll offset angle, equivalent inter resistance and phase offset in mutual inductance branch are predicted with average error of 0.49%, 1.06%, 0.90%, 0.23°, 0.08Ω, 0.95°. Based on identification results, constant voltage or constant-current charging is achieved with an average error of 0.89% and 1.12% demonstrated by experimental results.
AB - Underwater wireless power transfer (UWPT) technology offers an effective solution to the energy constraints of underwater vehicles by enabling in-situ and real-time energy replenishment. However, the UWPT system circuit becomes more complex than the aerial counterpart due to eddy current effects. Furthermore, the roll motion of vehicles and seawater flow cause misalignment between the underwater vehicle and the energy base station, which disturbs system parameters and significantly reduces efficiency. In this paper, a two-layer online parameter identification method is proposed based on an improved circuit model that accounts for eddy current effect. Through primary port information measured and impedance calculation, the coil self-inductance, mutual inductance, load resistor, roll offset angle, equivalent inter resistance and phase offset in mutual inductance branch are predicted with average error of 0.49%, 1.06%, 0.90%, 0.23°, 0.08Ω, 0.95°. Based on identification results, constant voltage or constant-current charging is achieved with an average error of 0.89% and 1.12% demonstrated by experimental results.
KW - chaos-momery optimization algorithm
KW - eddy current effect
KW - parameter identification
KW - roll offset
KW - underwater wireless power transfer
UR - https://www.scopus.com/pages/publications/105043683206
U2 - 10.1109/TIA.2026.3708815
DO - 10.1109/TIA.2026.3708815
M3 - 文章
AN - SCOPUS:105043683206
SN - 0093-9994
JO - IEEE Transactions on Industry Applications
JF - IEEE Transactions on Industry Applications
ER -