Design and control of a bidirectional wireless charging system using GaN devices

Wu, Haimeng; Gu, Bowen; Wang, Xiang; Pickert, Volker; Ji, Bing

doi:10.1109/apec.2019.8721909

Cited by 5 publications

(3 citation statements)

References 11 publications

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“…This conditioning addition to the GAN formalism makes the CGAN approach particularly useful as a foundational model for time series prediction. Most applications of (C)GANs, however, have been within computer vision and, to a lesser extent, in natural language processing and simulation models [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Mixture Density Conditional Generative Adversarial Network Models (MD-CGAN)

Jaleh

Roberts

2021

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Generative Adversarial Networks (GANs) have gained significant attention in recent years, with impressive applications highlighted in computer vision, in particular. Compared to such examples, however, there have been more limited applications of GANs to time series modeling, including forecasting. In this work, we present the Mixture Density Conditional Generative Adversarial Model (MD-CGAN), with a focus on time series forecasting. We show that our model is capable of estimating a probabilistic posterior distribution over forecasts and that, in comparison to a set of benchmark methods, the MD-CGAN model performs well, particularly in situations where noise is a significant component of the observed time series. Further, by using a Gaussian mixture model as the output distribution, MD-CGAN offers posterior predictions that are non-Gaussian.

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Section: Introductionmentioning

confidence: 99%

Mixture Density Conditional Generative Adversarial Network Models (MD-CGAN)

Jaleh

Roberts

2021

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“…Bidirectional WETS can also include a data transfer system, embedded into the energy transfer controller [17]. The design of the proposed WETS is based on a serial resonant circuit with a bidirectional up/down converter.…”

Section: Introductionmentioning

confidence: 99%

Development of the structure and circuit solution of a bidirectional wireless energy transmission system for swarm robots

Krestovnikov

Cherskikh

2021

Serb J Electr Eng

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This paper presents development of a circuit solution design for a bidirectional wireless energy transfer system, based on a resonant self-oscillator. The operation principle of the developed circuit solution in receiving and transmitting mode is described and the elementary circuit diagram is presented together with design ratios. Coil parameters for the resonant circuit are calculated, optimal number of turns in coils is presented, based upon the specified limit value of permissible current. The dependencies of system efficiency from transmitted power, maximum transmitted power, and energy transmission distance are obtained. The developed design, which includes the step-up DC-DC converter, allows to obtain the voltage on the output of the receiving system, equal to or higher than the voltage of the power source of the transmitting system. The specific feature of the proposed system is that it does not require a dedicated control system for operation in resonant mode and changing direction of power transfer. Resonance in transmitting and receiving coils can be maintained, even when their mutual layout is changed, due to utilization of identical resonant circuits and a self-oscillator. Application of the proposed solution is relevant for energy transfer among autonomous robots with limited positioning accuracy, as well as for energy transfer from power supply to robot or in reverse direction.

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“…Wide bandgap (WBG) semiconductors show superior material properties over conventional silicon (Si) devices, featuring higher voltage and temperature operation, low on-resistance and faster switching speed. These characteristics facilitate higher efficiency, power density and arguably better reliability, which promise to revolutionize the next generation of power electronics converters [1][2][3]. Among the WBG semiconductors, SiC MOSFET are under rapid development and commercialization, mainly targeting the high-voltage and high-power applications as a substitution of conventional Si IGBT.…”

Section: Introductionmentioning

confidence: 99%