Magnetic Resonance Wireless Power Transfer Over 10 m With Multiple Coils Immersed in Seawater

Hasaba, Ryosuke; Okamoto, Katsuya; Kawata, Souichi; Eguchi, Kazuhiro; Koyanagi, Yoshio

doi:10.1109/tmtt.2019.2928291

Cited by 51 publications

(30 citation statements)

References 5 publications

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“…In this scenario, it is time to evaluate the design space behavior depending on the charging current and the duty cycle for a constant T for the given Equation (14). In this first experiment, we propose to move the duty cycle from a 10% up to a 50% in 10% steps for T equal to 900 s. In other words, the charging time ranges are [0, 810] and [0, 450] seconds for a 10 and 50% duty cycle, respectively.…”

Section: Pareto Frontiersmentioning

confidence: 99%

“…On the other hand, in the literature, the problem related to the WPT distance is solved using resonant coils or mixed wired-wireless solutions. The resonant approach consists of disposing several antennas working at a defined frequency [ 14 ]. These researchers applied the near field concept of the magnetic coupling which requires great dimension coils.…”

Section: Introductionmentioning

confidence: 99%

“…However, all the solutions in the literature assume that the energy source does not have constraints in terms of energy. For example, in [ 14 ], the authors’ solution provides a maximum efficiency of 25% for a WPT in the range of 1 W to 100 W, up to a depth of 10 m using a high conductivity antenna with only 38.1 m

. In [ 15 ], the authors study the effect of the parasitic resistances of the antennas and determine that it is necessary to reduce those values to the minimum.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Application of NSGA-II to Obtain the Charging Current-Time Tradeoff Curve in Battery Based Underwater Wireless Sensor Nodes

García

Montiel–Nelson

Bautista

et al. 2021

Sensors

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In this paper, a novel application of the Nondominated Sorting Genetic Algorithm II (NSGA II) is presented for obtaining the charging current–time tradeoff curve in battery based underwater wireless sensor nodes. The selection of the optimal charging current and times is a common optimization problem. A high charging current ensures a fast charging time. However, it increases the maximum power consumption and also the cost and complexity of the power supply sources. This research studies the tradeoff curve between charging currents and times in detail. The design exploration methodology is based on a two nested loop search strategy. The external loop determines the optimal design solutions which fulfill the designers’ requirements using parameters like the sensor node measurement period, power consumption, and battery voltages. The inner loop executes a local search within working ranges using an evolutionary multi-objective strategy. The experiments proposed are used to obtain the charging current–time tradeoff curve and to exhibit the accuracy of the optimal design solutions. The exploration methodology presented is compared with a bisection search strategy. From the results, it can be concluded that our approach is at least four times better in terms of computational effort than a bisection search strategy. In terms of power consumption, the presented methodology reduced the required power at least 3.3 dB in worst case scenarios tested.

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Section: Pareto Frontiersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

. In [ 15 ], the authors study the effect of the parasitic resistances of the antennas and determine that it is necessary to reduce those values to the minimum.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Application of NSGA-II to Obtain the Charging Current-Time Tradeoff Curve in Battery Based Underwater Wireless Sensor Nodes

García

Montiel–Nelson

Bautista

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…Nowadays, researchers are using the advances in wireless power transfer (WPT) theory applied to battery charging of autonomous underwater vehicle (AUV) [ 16 ]. In [ 21 ], the researchers propose a 10 m wireless domino power transfer topology that is based on the approach presented in [ 22 ]. This could be a possible solution to overcome the excessive usage of underwater connectors.…”

Section: Practical Sensor Network Designmentioning

confidence: 99%

“…In addition, the size of receiving coils at the AUV side is close to the size of transmission/domino coil. To reach the 10 m depth, the solution [ 21 ] requires seven domino antennas of 3.4 m diameter in the transmission side and a 1.7 m diameter antenna in the receiving side. Those dimensions are not practical in our fish farm cage application.…”

Section: Practical Sensor Network Designmentioning

confidence: 99%

Design of a Practical Underwater Sensor Network for Offshore Fish Farm Cages

Sosa

Abril

Sosa

et al. 2020

Sensors

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In this paper, we present the design of a practical underwater sensor network for offshore fish farm cages. An overview of the current structure of an offshore fish farm, applied sensor network solutions, and their weaknesses are given. A mixed wireless–wired approach is proposed to mitigate the problem of wire breakage in underwater wired sensor networks. The approach is based on the serial arrangement of identical sections with wired and wireless interconnections areas. Wireless section alleviates underwater maintenance operations when cages are damaged. The analytical model of the proposed solution is studied in terms of maximum power transfer efficiency and the general formulas of the current in their transmitting antennas and sensor nodes are provided. Subsequently, based on simulations, the effects of parasitic resistance across the network are evaluated. A practical underwater sensor network to reach the 30 m depth with sensor nodes distanced 6 m is used to determine the proposal compliance with the ISO 11784/11785 HDX standard in its normal operation. Taking into account the cable breakage scenario, the results from experiments demonstrate the robustness of the proposed approach to keep running the sensor nodes that are located before the short circuit. Sensor node run time is reduced only 4.07% at most using standard values when a cable breakage occurs at the second deepest section.

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Flexible design method for multiple loads inductive power transfer system with equal power distribution

Wang

Qian

Cui

et al. 2022

Circuit Theory & Apps

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An inductive power transfer (IPT) system for powering multiple sensor nodes placed at various distances is proposed, in which the relay coil not only performs as a power relay to enhance the magnetic field along the power transfer route but also supplies energy to the local load. Based on Kirchhoff's law, the equivalent circuit model of the multi-load IPT system is established, and the relationship between power distribution and mutual inductance of adjacent coils is investigated. Aiming at practical applications, a flexible design method for the adjacent coil distance is proposed to adjust the mutual inductance and regulate the power distribution. Experimental results show that the equal power distribution is achieved for five loads across a transfer distance of 60.9 cm. Each load dissipates about 0.78 W with a power variation within 6.3%. The results indicate the feasibility of the proposed design method in the multiple-load wireless sensor network (WSN) applications.

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Magnetic Resonance Wireless Power Transfer Over 10 m With Multiple Coils Immersed in Seawater

Cited by 51 publications

References 5 publications

Application of NSGA-II to Obtain the Charging Current-Time Tradeoff Curve in Battery Based Underwater Wireless Sensor Nodes

Application of NSGA-II to Obtain the Charging Current-Time Tradeoff Curve in Battery Based Underwater Wireless Sensor Nodes

Design of a Practical Underwater Sensor Network for Offshore Fish Farm Cages

Flexible design method for multiple loads inductive power transfer system with equal power distribution

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