The Design and Optimization of a Wireless Power Transfer System Allowing Random Access for Multiple Loads

Tan, Linlin; Zhang, Ming; Wang, Songcen; Pan, Shulei; Zhang, Zhenxing; Li, Jiacheng; Huang, Xueliang

doi:10.3390/en12061017

Cited by 17 publications

(23 citation statements)

References 29 publications

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“…The most effective method to maximize the energy transmission in a SIMO–WPT system is to remove elements from the charging system. For example, if there is a set of electric cars parked together in charging state using a SIMO–WPT system, when one of those cars leaves the parking, the remaining cars receive more energy [ 21 , 22 ].…”

Section: Sensor Node Optimizationmentioning

confidence: 99%

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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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Section: Sensor Node Optimizationmentioning

confidence: 99%

“…Most of the literature research concludes that the presence of multiple sensor nodes/ charged systems must be taken into consideration due to its influence along the WPT process [ 14 , 18 , 20 , 21 , 22 ].…”

Section: Introductionmentioning

confidence: 99%

A Novel Charging Method for Underwater Batteryless Sensor Node Networks

Abril

Sosa

et al. 2021

Sensors

View full text Add to dashboard Cite

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“…At present, it has been applied in electric vehicles, portable electronic devices, medical implant, drones, inspection robots, etc. [3][4][5][6]. In recent years, electric vehicles have developed rapidly, and the wireless charging technology for electric vehicles based on the principle of WPT has emerged at the historic moment in order to solve several problems existing in wired electric energy supplement [7].…”

Section: Introductionmentioning

confidence: 99%

The Charging Control and Efficiency Optimization Strategy for WPT System Based on Secondary Side Controllable Rectifier

Zhang

Tan

et al. 2020

IEEE Access

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The equivalent resistance of the battery will change during charging in practical applications, so it is difficult to design a wireless power transfer (WPT) system with accurate constant current (CC) and constant voltage (CV) output characteristics. In addition, the WPT system efficiency is also affected by the change of equivalent resistance. Therefore, this paper studies the charging control and efficiency optimization strategy for the WPT system with dynamic loads. The WPT system with a structure of doublesided LCC compensation topology and containing controllable rectifier circuit at the secondary side is established, and the working process of full-bridge controllable rectifier circuit is analyzed. Then the output characteristics of the WPT system are analyzed. The expressions of the optimal transmission efficiency and the optimal equivalent impedance of the full-bridge rectifier are derived. The relationships between the equivalent impedance of the capacitor-filtered full-bridge controllable rectifier circuit and the phase shift angle, the charging current and the phase shift angle are also obtained. In this paper, the CC and CV charging strategies based on phase shift control of controllable rectifier circuit and efficiency optimization strategy based on dynamic equivalent impedance matching are proposed, which can improve the WPT system transmission efficiency while realizing CC and CV charging. Finally, the effectiveness of the proposed control strategy is verified by simulation and experiment. The WPT system realizes CC charging mode and CV charging mode in turn when the load resistance changes from 5 Ω to 30 Ω, and the overall efficiency is up to 90.71% at the transmission distance of 15cm. INDEX TERMS Wireless power transfer, constant current/voltage charging, efficiency optimization, phase shift control, dynamic impedance matching.

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“…Initial studies on WPT systems were mainly conducted using planar-type transmitter coils and single-receiver situations. To further enhance the practicality of the WPT system, various multi-output studies have been proposed to transfer power to multiple receivers as well as to a single receiver [1][2][3][4][5][6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

“…To increase the power transfer efficiency (PTE), a structure of the transmitter that improved the coupling coefficient between the transmitter and receiver was proposed in [1][2][3], and an efficient variable frequency control method was studied in [4][5][6]. In addition, in [7,8], the results of the study were proposed to ensure stable power transmission even with load fluctuations.…”

Section: Introductionmentioning

confidence: 99%

Resonant Network Design Method to Reduce Influence of Mutual Inductance between Receivers in Multi-Output Omnidirectional Wireless Power Transfer Systems

2020

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Many studies have been conducted on multi-output systems that transfer power to multiple receivers in conventional planar-type wireless power transfer (WPT) systems; however, few studies and analyses have taken into account the mutual inductance between receivers in multi-output omnidirectional WPT systems. In this paper, the correlation between the mutual inductance between receivers and the power transfer efficiency (PTE) in a multi-output omnidirectional WPT system is analyzed, and a limitation in terms of a reduction in the PTE with an increase in the influence of the mutual inductance between the receivers is presented. To solve this problem, a resonant network design method is proposed to reduce the influence of mutual inductance between receivers, and appropriate canceling capacitor values are selected using the weighted sum method among multi-objective optimization methods. The proposed method is through simulations and experiments, and it presents the potential for improvement in the problems that occur when transferring power to multiple receivers.

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The Design and Optimization of a Wireless Power Transfer System Allowing Random Access for Multiple Loads

Cited by 17 publications

References 29 publications

A Novel Charging Method for Underwater Batteryless Sensor Node Networks

A Novel Charging Method for Underwater Batteryless Sensor Node Networks

The Charging Control and Efficiency Optimization Strategy for WPT System Based on Secondary Side Controllable Rectifier

Resonant Network Design Method to Reduce Influence of Mutual Inductance between Receivers in Multi-Output Omnidirectional Wireless Power Transfer Systems

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