Magnetic Resonance Coupling Modelling for Electric Vehicles Wireless Charging

Ayisire, Erhuvwu; El-Shahat, Adel; Sharaf, A.Μ.

doi:10.1109/ghtc.2018.8601806

Cited by 13 publications

(6 citation statements)

References 6 publications

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“…The results showed the importance of this addition and proved some related problems related to the resonance between the coils. This is also discussed by the authors of [15,16].…”

Section: Introductionmentioning

confidence: 69%

The Impact of Coil Position and Number on Wireless System Performance for Electric Vehicle Recharging

Mohamed

Aymen

Issam

et al. 2021

Sensors

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Recently, most transportation systems have used an integrated electrical machine in their traction scheme, resulting in a hybrid electrified vehicle. As a result, an energy source is required to provide the necessary electric power to this traction portion. However, this cannot be efficient without a reliable recharging method and a practical solution. This study discusses the wireless recharge solutions and tests the system’s effectiveness under various external and internal conditions. Moreover, the Maxwell tool is used in this research to provide a complete examination of the coils’ position, size, number, and magnetic flux evolution when the coils are translated. In addition, the mutual inductance for each of these positions is computed to determine the ideal conditions for employing the wireless recharge tool for every charging application. A thorough mathematical analysis is also presented, and the findings clearly demonstrate the relationship between the magnet flux and the various external conditions employed in this investigation.

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“…The results showed the importance of this addition and proved some related problems related to the resonance between the coils. This is also discussed by the authors of [15,16].…”

Section: Introductionmentioning

confidence: 69%

The Impact of Coil Position and Number on Wireless System Performance for Electric Vehicle Recharging

Mohamed

Aymen

Issam

et al. 2021

Sensors

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show abstract

“…In this section we present the self-tuning technique for the design of the proportionalintegral (PI) controller, for which we utilized Equations ( 28) and (29). The controller helps to achieve a constant voltage under several varieties of input voltage.…”

Section: Proportional-integral Controller Designmentioning

confidence: 99%

“…Moreover, with the intention of improving its action, the shape of the transmitter coil can be designed to be circular or rectangular [27,28]. Some of the preliminary results of these investigations are reported in [29][30][31][32].…”

Section: Introductionmentioning

confidence: 99%

Novel Electrical Modeling, Design and Comparative Control Techniques for Wireless Electric Vehicle Battery Charging

El-Shahat

Ayisire²

2021

Electronics

Self Cite

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Dynamic wireless power systems are an effective way to supply electric vehicles (EVs) with the required power while moving and to overcome the problems of low mileage and extensive charging times. This paper targets modeling and control for future dynamic wireless charging using magnetic resonance coupling because of the latter’s efficiency. We present a 3D model of transmitter and receiver coils for EV charging with magnetic resonance wireless power developed using ANSYS Maxwell. This model was incorporated into the physical design of the magnetic resonance coupling using ANSYS Simplorer in order to optimize the power. The estimated efficiency was around 92.1%. The transient analysis of the proposed circuit was investigated. A closed-loop three-level cascaded PI controller- was utilized for wireless charging of an EV battery. The controller was designed to eliminate the voltage variation resulting from the variation in the space existing between coils. A single-level PI controller was used to benchmark the proposed system’s performance. Furthermore, solar-powered wireless power transfer with a maximum power point tracker was used to simulate the wireless charging of an electric vehicle. The simulation results indicated that the EV battery could be charged with a regulated power of 12 V and 5 A through wireless power transfer. Fuzzy logic and neuro-fuzzy controllers were employed for more robustness in the performance of the output. The neuro-fuzzy controller showed the best performance in comparison with the other designs. All the proposed systems were checked and validated using the OPAL Real-Time simulator. The stability analysis of the DC–DC converter inside the closed-loop system was investigated.

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“…Equation (10) illustrates the real and imaginary parts of the impedance, respectively. In order to achieve the maximum output power on the load, the transmitter power factor should be the largest.…”

Section: Operation Principlementioning

confidence: 99%

“…The application of WPT (Wireless Power Transfer) in implantable medicine is not only reflected in some special joints, such as [1][2][3][4][5][6], which makes energy transfer easier in such parts, and for some special disease groups, like blind and deaf people, the emergence of [7,8] brought the gospel to these patients. In addition to applications in implantable therapy, WPT has great potential in the industry [9][10][11]. Compared to wired charge, wireless power transfer systems offer an efficient, flexible means of charging electric vehicles (EV) [12] from multiple classes and at a range of power levels from a common ground source.…”

Section: Introductionmentioning

confidence: 99%

Implantable Magnetic Resonance Wireless Power Transfer System Based on 3D Flexible Coils

Zhang

2020

Sustainability

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A magnetic resonance wireless power transfer system based on flexible 3D dual-coil is proposed and implemented in this paper. Firstly, a magnetic coupling resonant circuit model based on dual-coil is established, and the analysis indicates that enlarging the coil inductance and quality factor can effectively improve the transfer efficiency and performance. The coil parametric model is created by HFSS (High Frequency Structure Simulator), the effects of structural parameters on the coil inductance and quality factor are analyzed, and the optimized coil structure parameters are determined. To achieve maximum power transfer, the coupled resonant model after impedance matching is established and simulated in HFSS, and S11 reaches −30 dB at 13.56 MHz. Considering the radiation on human tissues, the SAR (Special Absorption Rate) value is evaluated simultaneously. To confirm the validity of the proposed prototype, the efficient wireless power transfer system composed of two flexible and biocompatible coils with 10 mm radius has been verified by the experimental measurements, and measure results show that the output power is 70 mW, when the transfer distance is 6 mm, the input power is 200 mW, and the maximum transfer efficiency is 35%.

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Magnetic Resonance Coupling Modelling for Electric Vehicles Wireless Charging

Cited by 13 publications

References 6 publications

The Impact of Coil Position and Number on Wireless System Performance for Electric Vehicle Recharging

The Impact of Coil Position and Number on Wireless System Performance for Electric Vehicle Recharging

Novel Electrical Modeling, Design and Comparative Control Techniques for Wireless Electric Vehicle Battery Charging

Implantable Magnetic Resonance Wireless Power Transfer System Based on 3D Flexible Coils

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