Real-time coupling coefficient estimation and maximum efficiency control on dynamic wireless power transfer using secondary DC-DC converter

Kobayashi, Daita; Imura, Takehiro; Hori, Yoichi

doi:10.1109/iecon.2015.7392825

Cited by 29 publications

(6 citation statements)

References 14 publications

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“…Based on a 3-coil WPT structure, dc-dc converters are used in [16] and [17] to alter and amplify the quality factor of the reflected impedance in order to maximize the overall energy efficiency. Since the optimal energy efficiency conditions change with the coupling coefficient k, a recursive least square filter is used to determine the instantaneous value of k and a buck converter is adopted after the diode rectifier in [18] to locate the maximum energy efficiency conditions. If space in the receiver module is not an issue, an auxiliary measurement coil has been added in the receiver side [19] to provide the phase information of the induced voltage so that the secondary control can tune the receive side and control the equivalent load resistance to the optimal value.…”

Section: A Using Dc-dc Converters For Altering Load Impedancementioning

confidence: 99%

Reconfigurable Wireless Power Transfer Systems With High Energy Efficiency Over Wide Load Range

Zhong

Hui

2018

IEEE Trans. Power Electron.

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Section: A Using Dc-dc Converters For Altering Load Impedancementioning

confidence: 99%

Reconfigurable Wireless Power Transfer Systems With High Energy Efficiency Over Wide Load Range

Zhong

Hui

2018

IEEE Trans. Power Electron.

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“…The fundamental resonant angular frequency is selected to be ωo. The input impedance of DWPT, Zin, is expressed in (14) and the output to input voltage gain can be derived result in (15). The plots of the gain curve for various loads and mutual inductances in The current of the primary coil can be obtained by applying Kirchhoff's law as shown in (10).…”

Section: Analysis and Characteristic Of Lcc-s Dwptmentioning

confidence: 99%

“…Some developments in DWPT have been published in the recent years. In [14,15] the authors focused on the control method of the DWPT and used the Series-Series (SS) compensation in their studies. The SS compensation has a simple topology, an independent load, and against frequency.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Wireless Power Transfer for Logistic Robots

et al. 2018

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The prospect of using robots in warehouses or supply chain processes is increasing due to the growth of the online retail market. This logistic robot is available in the market and uses a battery as energy storage device. However, this battery is large and heavy. Therefore, it needs a long recharging time. Dynamic Wireless Power Transfer (DWPT) can be an alternative to the conventional charging system because of its safety and flexibility that enables in motion charging. DWPT reduces the battery requirement size and capacity. Hence the stored energy can be used effectively for load transportation. A compensation with an inductor and two capacitors in the transmitter side, and a series connected capacitor in the receiver side which is named LCC-S compensation type has the capability to maintain the transmitter current with a fixed frequency operation. It provides less variation of the output voltage in response to the load variation. Moreover, the compensation of the receiver side uses only a single series capacitor which is low-cost. The analysis, modeling, and design procedures are discussed in this paper as well as the hardware implementation and verification of a 1.5 kW maximum power DWPT. The experiment shows the capability of the proposed system and shows maximum efficiency can reach 91.02%.

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“…The results show a potential for significant improvement of the convergence speed. Kobayashi et al [6] explaining the efficiency is controlled by exchanging the input impedance at the receiving end of the converter. But the proposed method has not at all been useful in the sequence of coupling coefficient is desirable continually to attain the control.…”

Section: Literature Surveymentioning

confidence: 99%

Simulation and performance analysis for coefficient estimation for sinusodial signal using LMS, RLS and proposed method

Prasad¹,

Suresh²

2017

IJET

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The estimated Power Spectral Density (PSD) gives the information regarding the architectural structure of random process; it can be utilized for mathematical modeling, removal of noise, prediction of the signal of the deserved processes. The objective of spectral density estimation is to approximation the spectral density of a random signal from a series of time sample of the signal. Spectral estimation and coefficient estimation is concerned with determining the distribution in frequency of the power of a random process. In this paper, a well-known adaptive filter is used to the estimation of the spectral density of the signal. It includes the LMS, RLS and improves RLS (proposed method) to analyze the coefficient of the sinusoidal signal.

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Real-time coupling coefficient estimation and maximum efficiency control on dynamic wireless power transfer using secondary DC-DC converter

Cited by 29 publications

References 14 publications

Reconfigurable Wireless Power Transfer Systems With High Energy Efficiency Over Wide Load Range

Reconfigurable Wireless Power Transfer Systems With High Energy Efficiency Over Wide Load Range

Dynamic Wireless Power Transfer for Logistic Robots

Simulation and performance analysis for coefficient estimation for sinusodial signal using LMS, RLS and proposed method

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