An Efficient Modeling for Underwater Wireless Power Transfer Using <i>Z</i>-Parameters

Kim, Jong-Wook; Kim, Haerim; Kim, Dong-Wook; Park, Jaehyoung; Ahn, Seungyoung

doi:10.1109/temc.2019.2952320

Cited by 63 publications

(27 citation statements)

References 17 publications

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“…All three materials shown in Figure 7 have different conductivity, which can cause eddy currents to cause additional losses in the system [23]. When the conductivity is high, the coupling and inductance of the system are reduced, but in the case of human tissue, the conductivity is very low in the low frequency band, so there is little loss [24]. When TX coil 1 and RX coil are aligned, there is almost no difference as shown in Table 3 when comparing inductance and coupling.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…R Refl1 , R Refl2 , and R Refl3 in Table 7 are the real components of the input impedance of TX coil 1, TX coil 2 and TX coil 3, respectively. As shown in Equation (24), the resistance of the TX coil increases as the mutual inductance increases in alignment with the TX coil. Therefore, in this experiment, even if the RX coil cannot be visually checked, it is conducted on the basis that it is possible to determine the TX coil to turn on by checking the position.…”

Section: Experiments Setupmentioning

confidence: 99%

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Wireless Torque and Power Transfer Using Multiple Coils with LCC-S Topology for Implantable Medical Drug Pump

Rhee

Shin

Woo

et al. 2021

Sensors

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In this paper, we propose a method of wirelessly torque transfer (WTT) and power (WPT) to a drug pump, one of implantable medical devices. By using the magnetic field generated by the WPT system to transfer torque and power to the receiving coil at the same time, applications that previously used power from the battery can be operated without a battery. The proposed method uses a receiving coil with magnetic material as a motor, and can generate torque in a desired direction using the magnetic field from the transmitting coil. The WPT system was analyzed using a topology that generates a constant current for stable torque generation. In addition, a method for detecting the position of the receiving coil without using additional power was proposed. Through simulations and experiments, it was confirmed that WTT and WPT were possible at the same time, and in particular, it was confirmed that WTT was stably possible.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Experiments Setupmentioning

confidence: 99%

Wireless Torque and Power Transfer Using Multiple Coils with LCC-S Topology for Implantable Medical Drug Pump

Rhee

Shin

Woo

et al. 2021

Sensors

Self Cite

View full text Add to dashboard Cite

show abstract

“…For simplicity of analysis, an effect of core loss for MEH can be ignored [17]. However, eddy current loss should be considered for accurate analysis of output model in conductive material [35].…”

Section: Discussionmentioning

confidence: 99%

The Magnetic Energy Harvester With Improved Power Density Using Saturable Magnetizing Inductance Model for Maintenance Applications Near High Voltage Power Line

et al. 2021

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Recently, maintenance applications around power lines have been actively studied. These applications usually supply power through magnetic energy harvesting(MEH) to devices around the power line. A major challenge for practical MEH is to overcome magnetic saturation, which can cause degradation of power density under a wide current range in the power line. In this paper, we propose a design methodology to harvest maximized output power by considering the saturation effect. To consider magnetic saturation, the output power model and the saturable magnetizing inductance model based on magnetizing current were comprehensively analyzed. Additionally, the critical point of saturation for the maximum harvested power was analyzed by considering different primary side current conditions. With the proposed design methodology, the accuracy and efficiency of the output model were verified with experimental results compared to the conventional model. To consider the real environment, a 150 kW class of AC resistor load bank was implemented to control the primary current from 0 to 100 A with power frequency of 60 Hz. Experimental results show that the proposed method can harvest an average power of 14.32 W on 70 A power line, which is an increase of 39.8 % compared with the conventional design method.

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“…From the designer’s point of view, a key idea is to obtain a closed formula that allows for determining these design parameters, such as for maximum energy transfer [ 20 ]. However, the increasing complexity of the sensor network or node also increases the complexity of its formulation to an unmanageable and incomprehensible level.…”

Section: Design Exploration Overviewmentioning

confidence: 99%

“…In summary, the minimization of the required power from the energy source point of view is reached in the literature indirectly through the maximization of the energy transmission efficiency [ 19 ]. In addition, some other authors reduce the antenna parasitic resistances and minimize the generator equivalent impedance [ 20 ]. Moreover, the batteryless approaches in the literature also control the amount of energy transmitted to the sensor node turning on and off the energy source [ 21 ].…”

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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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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An Efficient Modeling for Underwater Wireless Power Transfer Using Z-Parameters

Cited by 63 publications

References 17 publications

Wireless Torque and Power Transfer Using Multiple Coils with LCC-S Topology for Implantable Medical Drug Pump

Wireless Torque and Power Transfer Using Multiple Coils with LCC-S Topology for Implantable Medical Drug Pump

The Magnetic Energy Harvester With Improved Power Density Using Saturable Magnetizing Inductance Model for Maintenance Applications Near High Voltage Power Line

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

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