A new wireless charging system for electric vehicles using two receiver coils

Mohamed, Naoui; Aymen, Flah; Alqarni, Mohammed; Turky, Rania A.; Alamri, Basem; Ali, Ziad M.; Aleem, Shady H. E. Abdel

doi:10.1016/j.asej.2021.08.012

Cited by 63 publications

(37 citation statements)

References 51 publications

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“…In the WPT systems, four resonant circuit topologies can be used [44]. After inserting the capacitor on each side, their indexation is completed.…”

Section: B Compensation Topologies and Coils Parametersmentioning

confidence: 99%

“…7 depicts the various designs for the WPT system; numerous planar coil shapes, including circular, rectangular, and hybrid configurations, were used to recover performance and solve misalignment issues among the transmitter and receiver [51]. Table 4 lists the specifications for each model [44], as well as the advantages and disadvantages of each model [52]. Multiple wireless power transfer structures for motorized applications are evaluated in the literature to assess magnetic couplings and feasibility.…”

Section: Coil Design For Charging Systemsmentioning

confidence: 99%

“…16 depicts the frequency regulation loop in detail. However, there is another way to simplify this MPPT technique for our frequency regulation in [44]. The goal is to get feedback from the system's DC input, as it is always done in a photovoltaic system when the MPPT process is used, as shown in Fig.…”

Section: Full Resonant System and Controlmentioning

confidence: 99%

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A Comprehensive Analysis of Wireless Charging Systems for Electric Vehicles

et al. 2022

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“…In the WPT systems, four resonant circuit topologies can be used [44]. After inserting the capacitor on each side, their indexation is completed.…”

Section: B Compensation Topologies and Coils Parametersmentioning

confidence: 99%

Section: Coil Design For Charging Systemsmentioning

confidence: 99%

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A Comprehensive Analysis of Wireless Charging Systems for Electric Vehicles

et al. 2022

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“…The data set for ANFIS2 is produced by equations (37) and equation (38). For data set production, equation (37) and equation (38) are provided as input variable 1 (e) and input variable 2 (Δe) of MF, respectively, in the fuzzy toolbox. In this way, the primary FIS file for ANFIS2 is generated for training purposes.…”

Section: ) Layermentioning

confidence: 99%

“…In this way, the primary FIS file for ANFIS2 is generated for training purposes. Equation (37) calculates the deviation of DC bus voltage and is as follows: (37) where 𝑣 dc−ref is the reference DC bus voltage level which is 400V and 𝑣 𝑑𝑐 is the practical DC bus voltage level which is considered before utilizing ANFIS controller.…”

Section: ) Layermentioning

confidence: 99%

Modeling and Performance Evaluation of ANFIS Controller-Based Bidirectional Power Management Scheme in Plug-In Electric Vehicles Integrated With Electric Grid

et al. 2021

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A bi-directional power exchange between the plug-in electric vehicle (PEV) and the AC electrical grid is necessary to perform the Vehicle to Grid (V2G) and Grid to Vehicle (G2V) operations. While performing these operations, different power converters and controllers play an important role as mediators between the PEV and electric grid. Various works have demonstrated the utilization of controllers for PEV's battery power management. However, the existing conventional controllers have technical shortcomings about vulnerability to controller gain, accurate mathematical modelling, poor adaptability, sluggish response to a sudden outburst and lengthy interval execution processing. Therefore, this paper develops an adaptive neuro-fuzzy inference system (ANFIS) control strategy based bidirectional power management scheme to ensure the optimal electrical power flow exchange between the AC electric grid and battery storage system in PEVs. This paper aims to reduce the stress on the grid power side and utilize the unused power properly. The performance of the ANFIS model is varied using two PEVs based on real-life power consumptions by different loads at home based on five operational modes. Besides, a comparative analysis between the ANFIS controller and the PI controller is carried out to demonstrate the effectiveness of the proposed control scheme. The results illustrate that the proposed ANFIS controller delivers a smoother power injection from the PEV to the AC power grid with the least harmonics as well as achieves a smoother battery profile and less distortion when power is absorbed by PEV battery.INDEX TERMS ANFIS controller, plug-in electric vehicle, bidirectional power, state of charge, PI controller.

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Photovoltaic Class‐E Inverter for Resonance Wireless Power Transfer for Electric Vehicle Charging Applications with Optimization Algorithms

et al. 2023

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A wireless power transfer (WPT) station supplied by an array of solar panels is presented, where solar energy comes from an array of panels with 120 V voltage and 3 A current. It is subjected to maximum power point tracking algorithm optimization on a boost converter, where the duty cycle of the converter is adjusted with an interval chosen between [0.2, 0.8], which is used to iteratively compare between the input and output signals in order to have a maximum power at the output. After regulating the panel array signal through the boost converter, the signal is transferred to an additional middle stage whose role is to raise the frequency until it reaches the resonance frequency of the WPT charger. The device responsible for this task is an inverter based on a class‐E inverter architecture and a GaN transistor technology. The inverter is controlled by a DSP card in a hard‐switch mode and delivers the output signal with a frequency of 10 Mhz, which is the resonance frequency of spiral coils of wireless chargers. Herein, the signal nature can be seen at the terminal of a fixed load with signal optimization through the MPPT algorithm and the HF inverter control mode.

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A new wireless charging system for electric vehicles using two receiver coils

Cited by 63 publications

References 51 publications

A Comprehensive Analysis of Wireless Charging Systems for Electric Vehicles

A Comprehensive Analysis of Wireless Charging Systems for Electric Vehicles

Modeling and Performance Evaluation of ANFIS Controller-Based Bidirectional Power Management Scheme in Plug-In Electric Vehicles Integrated With Electric Grid

Photovoltaic Class‐E Inverter for Resonance Wireless Power Transfer for Electric Vehicle Charging Applications with Optimization Algorithms

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