Research on wireless power transfer system for Torpedo autonomous underwater vehicles

Song, Baowei; Wang, Yushan; Zhang, Kehan; Mao, Zhaoyong

doi:10.1177/1687814018802563

Cited by 14 publications

(8 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These losses increase with the increase in the operating frequency and the water conductivity. The radiation resistance in water, which is typically used to model the losses in the water, depends on the product of the frequency of the magnetic field and the water conductivity [51].…”

Section: • Eddy Current Loss Due To Salinity Of Watermentioning

confidence: 99%

System for Wireless Charging of Battery-Powered Underwater Sensor Networks

Ahluwalia

Chenevert

Pratik

et al. 2022

OCEANS 2022, Hampton Roads

View full text Add to dashboard Cite

AHLUWALIA, URVI. System for Wireless Charging of Battery-Powered Underwater Sensor Networks. (Under the direction of Dr. Zeljko Pantic).Wireless Power Transfer (WPT) systems have recently gained popularity in delivering energy underwater. Existing solutions that employ conductive charging by wet-mate connectors are costly, with complicated mating and maintenance requirements. WPT systems overcome these challenges by avoiding expensive material and complex mating mechanisms, thus making them viable alternatives.This thesis proposes an energy delivery system for wireless charging of battery-powered underwater sensor networks. Using ROVs and AUVs for periodic wireless recharging of deployed batteries, this system can increase the lifetime of such a sensor network. This thesis provides a background establishing the importance of recharging underwater sensor networks and the various challenges associated with this task. FEM-based procedures are used to design and optimize a wireless charging system and magnetic coupler, and system losses are calculated using an analytical model. The proposed system was evaluated using a prototype and provided experimental results for coils submerged in water at salinity levels similar to fresh and sea waters. These results were also compared with coils in air.The developed prototype, when operated at 50 W, worked at a maximum efficiency of 90% with coils submerged in seawater medium, with minimum possible gap, and an output voltage of 15.6 V. The experiments also show that the prototype can nominally deliver 50 W of power at 85% efficiency for a coil gap of 4 mm, 12.9 V output voltage in seawater salinity.Under similar conditions, the system has the worst-case efficiency of 77% when the coils are 12 mm apart.

show abstract

Section: • Eddy Current Loss Due To Salinity Of Watermentioning

confidence: 99%

System for Wireless Charging of Battery-Powered Underwater Sensor Networks

Ahluwalia

Chenevert

Pratik

et al. 2022

OCEANS 2022, Hampton Roads

View full text Add to dashboard Cite

show abstract

“…Autonomous underwater vehicles (AUVs) are widely used in both commercial ocean exploration as well as survey and military deployment of unmanned combat equipment [1][2][3][4][5]. The performance of AUVs has significantly improved over the years, but the use of the conventional power supply method limits its flexibility and long-term operating capability, and power supply problems have become the most critical factor affecting their performance [6][7][8][9]. The conventional power supply method mainly includes two techniques, namely charging through a wire using a wet-plug interface and powering by replacing the battery [10,11].…”

Section: Introductionmentioning

confidence: 99%

Review of low‐loss wireless power transfer methods for autonomous underwater vehicles

Zhang

Xu²,

Lu³

et al. 2022

IET Power Electronics

View full text Add to dashboard Cite

Comprehensive research on the wireless power transfer technology of autonomous underwater vehicles is necessary to address the issue of significant energy loss in such vehicles during wireless power transfer. Previous analysis on factors that affect wireless power transfer in seawater environment demonstrated that the eddy current loss generated during transmission and offset of the coupling mechanism are the main factors that degrade the efficiency. In this study, existing literature on wireless power transfer for autonomous underwater vehicles in recent years is reviewed, and it is concluded that the energy loss during underwater wireless power transfer can be effectively reduced through coupling mechanism optimization, adaptive control, and docking device design. This study analyses the challenges of low-loss wireless power transfer for autonomous underwater vehicles and the prospects for future development trends and research areas, providing a reference for realizing efficient and flexible energy supply for autonomous underwater vehicles.

show abstract

“…When the battery of the autonomous underwater vehicle (AUV) is about to run out, it needs to be salvaged ashore for charging, which is often troublesome. Wireless power transfer (WPT) technology can solve the energy supply problem of autonomous underwater vehicles [1][2][3][4][5]. When the underwater vehicle needs to be charged, it can go to the pre-arranged underwater wireless charging base station for energy supply without manual operation.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Optimal Design of a WPT Coupler for Underwater Vehicles Using Non-Dominated Sorting Genetic Algorithm

et al. 2022

Self Cite

View full text Add to dashboard Cite

When the wireless power transfer (WPT) system is installed on the autonomous underwater vehicle (AUV), there is a non-negligible eddy current loss around the coupler. The existence of the ferrite core causes the nonlinear distortion of the magnetic field, which makes the design of the WPT coupler more complicated and difficult. In this paper, the key parameters that affect the performance of the coupler were obtained through calculation and finite element analysis (FEA). Then, the coupler was parametrically modeled in Maxwell, and the Non-dominated Sorting Genetic Algorithm (NSGA-II) was used to optimize its design, considering two objective functions: mutual inductance and equivalent coupler loss impedance (ECLI). Finally, twenty groups of Pareto optimal points were evaluated using the Technique for Ordering Preferences by Similarity to Ideal Solution (TOPSIS) method. Five groups of design points with different weights were screened out. The effectiveness of the optimization process was verified by comparing the optimization results with the initial results.

show abstract

Research on wireless power transfer system for Torpedo autonomous underwater vehicles

Cited by 14 publications

References 22 publications

System for Wireless Charging of Battery-Powered Underwater Sensor Networks

System for Wireless Charging of Battery-Powered Underwater Sensor Networks

Review of low‐loss wireless power transfer methods for autonomous underwater vehicles

Analysis and Optimal Design of a WPT Coupler for Underwater Vehicles Using Non-Dominated Sorting Genetic Algorithm

Contact Info

Product

Resources

About