Performance evaluation of wireless power transfer systems for electric vehicles using the opposition method

Cirimele, Vincenzo; Rosu, Stefan George; Guglielmi, Paolo; Freschi, Fabio

doi:10.1109/rtsi.2015.7325155

Cited by 19 publications

(15 citation statements)

References 7 publications

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“…Several past works, including [43]- [45], have shown how the effect of manufacturing tolerances on components can cause a substantial change in the behaviour and performance of WPT systems. These effects have been mainly related to tolerances on capacitance values, but can also result from variations of self and mutual inductance values [45] due to tolerances on the electromagnetic parameters of the materials used in the construction of the system.…”

Section: Impact Of Tolerancesmentioning

confidence: 99%

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Uncertainty Quantification for SAE J2954 Compliant Static Wireless Charge Components

et al. 2020

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The present work aims at quantifying how, and how much, the uncertainties on the components and material parameters of a wireless power transfer (WPT) system for the static charge of electric vehicles affect the overall efficiency and functionality of the final produced device. With the aim of considering the perspective of a possible industrial developer, the parameters selected for the uncertainty quantification are chosen to be the capacitance values of the compensation capacitors and the electromagnetic material parameters used for the construction of the magnetic structure of a WPT system, i.e. the parameters of the elements to be purchased. The analysis is based on a standard system among the ones provided by the current SAE J2954 recommended practice.

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Section: Impact Of Tolerancesmentioning

confidence: 99%

“…Mainly, the presence of tolerances causes strong variations in the amplitude and phase of the total impedance that can be see as deformations in the curve of the amplitude with respect to the frequency and an horizontal and vertical shift of the phase [43].…”

Section: Impact Of Tolerancesmentioning

confidence: 99%

Uncertainty Quantification for SAE J2954 Compliant Static Wireless Charge Components

et al. 2020

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“…Where R 1 is the winding resistance of the transmitter, L 1 is its self-inductance, M is the mutual inductance of coupled inductors, R 2 is the winding resistance of the receiver, L 2 is self-inductance and R L is the equivalent load resistance [10]. Fig.…”

Section: Wpt Operation Descriptionmentioning

confidence: 99%

Load identification in dynamic wireless power transfer system utilizing current injection in the transmitting coil

Khalilian

Rosu

Cirimele

et al. 2016

2016 IEEE Wireless Power Transfer Conference (WPTC)

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In this paper, a load identification approach for dynamic wireless power transfer for electric vehicles is introduced. In the proposed method, determination of the load parameters and position are achieved without requiring any communication link between the transmitter and receiver or using any extra coil. The load detection procedure is achievable using two modes: the energy injection mode and the free resonant mode. The operating principles and theoretical analysis of this method are presented in this paper, together with experimental results.

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“…Generally, FOD includes metal object detection (MOD) and living object detection (LOD) [49,50]. The insertion of a metal object in a WPT system can induce an eddy current in the object, which may change the power transmission efficiency or further cause a fire [37,51]. On the other hand, living objects such as cats, dogs or humans may move or even remain close to the transmitting coil of the WPT system, which may also cause serious safety problems.…”

Section: Introductionmentioning

confidence: 99%

Foreign Object Detection for Electric Vehicle Wireless Charging

Xia

Yuan

et al. 2020

Electronics

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Wireless power transfer technology is being widely used in electric vehicle wireless-charging applications, and foreign object detection (FOD) is an important module that is needed to satisfy the transmission and safety requirements. FOD mostly includes two key parts: metal object detection (MOD) and living object detection (LOD), which should be implemented during the charging process. In this paper, equivalent circuit models of a metal object and a living object are proposed, and the FOD methods are reviewed and analyzed within a unified framework based on the proposed FOD models. A comparison of these detection methods and future challenges is also discussed. Based on these analyses, detection methods that employ an additional circuit for detection are recommended for FOD in electric vehicle wireless-charging applications.

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Performance evaluation of wireless power transfer systems for electric vehicles using the opposition method

Cited by 19 publications

References 7 publications

Uncertainty Quantification for SAE J2954 Compliant Static Wireless Charge Components

Uncertainty Quantification for SAE J2954 Compliant Static Wireless Charge Components

Load identification in dynamic wireless power transfer system utilizing current injection in the transmitting coil

Foreign Object Detection for Electric Vehicle Wireless Charging

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