Misalignment effect on efficiency of wireless power transfer for electric vehicles

Gao, Yu-Ji; Ginart, Antonio; Farley, Kathleen Blair; Tse, Zion Tsz Ho

doi:10.1109/apec.2016.7468375

Cited by 36 publications

(21 citation statements)

References 11 publications

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“…The increase in k with increasing transmitter coil size is straight forward. Since the coupling is proportional to the ratio r/h, (h being the distance between coils and r its typical dimension) [2], increasing the size of the transmitter coils is equivalent to reducing the distance between the transmitter and receiver coils. Therefore, it is desirable to have as large as possible transmitting coils and the limit is set by cost of the conductor, the road trenching and the need to keep the dimension smaller than the EV width to minimize stray fields in its vicinity.…”

Section: Resultsmentioning

confidence: 99%

“…As EVs become more and more popular, improving their charging efficiency and range becomes crucial for allowing the technology to further penetrate the transportation market. One method that allows for these improvements is the DWPT [2]- [5], in which the coils are electromagnetically coupled so that magnetic flux generated in the transmitting coil is only partially picked up by the receiving coils. One way to improve DWPT is to improve the electromagnetic coupling by varying the geometry, windings, and resonance parameters of the transmitting and/or the receiving coils.…”

Section: Introductionmentioning

confidence: 99%

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Effect of Coil Dimensions on Dynamic Wireless Power Transfer for Electric Vehicles

Bareli¹,

Geri²,

Nikulshin³

et al. 2021

Preprint

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We explore the effects of various receiver coil dimensions and configurations on power transfer efficiency and cost of operation, using advanced simulation tools. We demonstrate that the spatial distribution of the magnetic field leads to a non-monotonic dependence of the coupling coefficient on coil size. Thus, an optimal coil size, where the coupling coefficient peaks, should be regarded a crucial design parameter which affects the entire system performances. The incorporation of our findings into a multi-objective optimization algorithm is also discussed.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effect of Coil Dimensions on Dynamic Wireless Power Transfer for Electric Vehicles

Bareli¹,

Geri²,

Nikulshin³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…Extensive studies of WPT systems have focused on efficiency optimization, including system parameter design [14,15], coil structure design [16][17][18], power electronics design [19], closed-loop control [20], and center frequency selection [21]. Another active area of WPT system research aims to improve the system tolerance to coil misalignments, where a coil misalignment could have a significant influence on the power transfer efficiency [22]. A tuning method [23], a coil array [24] and a mechanical method [25] have been proposed to reduce the impact of misalignment.…”

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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“…It has the advantages of providing automatic charge and increasing device mobility [1][2][3]. Since the magnetic coupler is loosely coupled, the misalignment weakens the mutual inductance and increases the leakage magnetic field, and then the system performance is influenced [4]. Based on substantial literal reviews, the influence of misalignment on the system performance is addressed by the following methods.…”

Section: Introductionmentioning

confidence: 99%

Adaptive position alignment for wireless charging system with mutual inductance estimation and P&O algorithms employ only primary‐side electrical parameters

Dong

Zhu

et al. 2019

IET Power Electronics

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Position alignment between the transmitter and the receiver is vital for wireless charging system (WCS) because misalignment influences system efficiency, power transfer capability, and magnetic field distribution. Based on the primary-side electrical parameters, the mutual inductance estimation and perturbation and observation (P&O) algorithms are proposed to achieve the adaptive position alignment for the inductor-capacitor-inductor-series (LCL-S) compensated WCS through the movable transmitter. Based on the relationship between primary-side active power and mutual inductance, the feedback impedance theory and quadrature transformation (QT) algorithms are proposed to estimate the mutual inductance. Combined with the misalignment characteristic of circular magnetic coupler, the position alignment that is achieved by P&O algorithm and estimated mutual inductance. The simulation and experimental results verify the following conclusions: The mutual inductance estimation is suitable for different magnetic coupler and compensation topologies, and the accuracy of the estimated mutual inductance is suitable for practical applications. Compared with traditional active power method, the QT algorithm that calculates is more suitable for WCS that features high operating frequency. Combined with the proposed algorithms, high-system performance and fully automatic charging are ensured by the adaptive position alignment method.

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Misalignment effect on efficiency of wireless power transfer for electric vehicles

Cited by 36 publications

References 11 publications

Effect of Coil Dimensions on Dynamic Wireless Power Transfer for Electric Vehicles

Effect of Coil Dimensions on Dynamic Wireless Power Transfer for Electric Vehicles

Foreign Object Detection for Electric Vehicle Wireless Charging

Adaptive position alignment for wireless charging system with mutual inductance estimation and P&O algorithms employ only primary‐side electrical parameters

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