Application of Shielding Coils in Underwater Wireless Power Transfer Systems

Wang, Yushan; Song, Baowei; Mao, Zhaoyong

doi:10.3390/jmse7080267

Cited by 10 publications

(9 citation statements)

References 16 publications

(18 reference statements)

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“…In addition, our approach formulates a second fitness function as: Fitness 2 (Ind) = t chg × I chg × β i×t (13) This last equation represents the weighted charged energy in the battery when I chg is applied during t chg . Note that we included the β i×t factor to scale the chromosomes variability due to the scale difference between charging currents in 10 −3 amperes and charging times in seconds.…”

Section: Nsga-ii Codification and Fitness Functionsmentioning

confidence: 99%

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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: Nsga-ii Codification and Fitness Functionsmentioning

confidence: 99%

“…The mobility feature of the sensor nodes allows for using a docking or near field coupling solution where the vehicle is physically placed near the energy source. In terms of distance, these approaches cover only several dozen centimeters [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

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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“…With mobility policies to reduce greenhouse gas emissions that are based on the use of Electric Vehicles (EVs), where the development of vehicle battery charging systems has become a hot topic in the research area of WPT technologies [ 3 , 4 , 5 ]. In a similar way, the unmanned underwater vehicles (UUV) are mainly powered by batteries and WPT is also a hot research topic [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

A Novel Charging Method for Underwater Batteryless Sensor Node Networks

Abril

Sosa

et al. 2021

Sensors

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In this paper, we present a novel charging method for underwater batteryless sensor node networks. The target application is a practical underwater sensor network for oceanic fish farms. The underwater sections of the network use a wireless power transfer system based on the ISO 11784/11785 HDX standard for supplying energy to the batteryless sensor nodes. Each sensor has an accumulator capacitor, which is charged for voltage supplying to the sensor node. A new distributed charging scheme is proposed and discussed in detail to reduce the required time to charge all sensor nodes of the underwater sections. One important key is its decentralized control of the charging process. The proposal is based on the self disconnection ability of each sensor node from the charging network. The second important key is that the hardware implementation of this new feature is quite simple and only requires to include a minimal circuitry in parallel to the current sensor node antenna while the rest of the sensor network remains unaltered. The proposed charging scheme is evaluated using real corner cases from practical oceanic fish farms sensor networks. The results from experiments demonstrate that it is possible to charge up to 10 sensor nodes which is the double charging capability than previous research presented. In the same conditions as the approach found in the literature, it represents reaching an ocean depth of 60 m. In terms of energy, in case of an underwater network with 5 sensors to reach 30 m deep, the proposed charging scheme requires only a 25% of the power required using the traditional approach.

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“…Conversely, the high-gain region reaches power gains up to 12 𝑑𝐵, permitting to deliver much more power to the receiver, but at the cost of a very narrow bandwidth (less than 0.5 𝑀𝐻𝑧). Notice that bandwidth is dramatically reduced in both scenarios when the mutual coupling between the MTMs force 𝑓 0 to decrease, with one exception for 𝑁 = [9,10] in Figure 3.11(b). In the high-gain region, when 𝑁 is high, not only the MTM slabs get coupled but they also interact strongly via their mutual coupling.…”

Section: 4mentioning

confidence: 99%

“…Besides that, docking stations have a high-cost maintainability, being susceptible to biofouling, contaminants and any other sort of dirt collected by it over time [8]. In [9], coil shielding strategies are presented to minimize the induced eddy currents, which are the major source of loss at the transmitter. In [10], multi-coil based receivers are proposed to minimize the parallel and angular alignment dependency of the magnetic coupling.…”

Section: Casimiro De Abreu Primaverasmentioning

confidence: 99%

Data and Power Transmission for Underwater Monitoring Systems Using Metamaterials

ALMEIDA¹

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I would like to acknowledge and thank my advisors, prof. Eduardo Costa da Silva and prof. Carlos Antonio França Sartori, for supporting me during my studies; Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), for the scholarship and support; all my laboratory fellows and professors from the Centro de Estudos em Telecomunicações (CETUC), particularly prof.

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Application of Shielding Coils in Underwater Wireless Power Transfer Systems

Cited by 10 publications

References 16 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

A Novel Charging Method for Underwater Batteryless Sensor Node Networks

Data and Power Transmission for Underwater Monitoring Systems Using Metamaterials

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