The Impact of Coil Position and Number on Wireless System Performance for Electric Vehicle Recharging
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.
- Record URL:
- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/14248220
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Supplemental Notes:
- © 2021 Naoui Mohamed, et al.
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Authors:
- Mohamed, Naoui
- Aymen, Flah
- Issam, Zaafouri
- Bajaj, Mohit
- Ghoneim, Sherif S
- Ahmed, Mahrous
- Publication Date: 2021-7
Language
- English
Media Info
- Media Type: Digital/other
- Pagination: 4343
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Serial:
- Sensors
- Volume: 21
- Issue Number: 13
- Publisher: MDPI AG
- ISSN: 1424-8220
- Serial URL: http://www.mdpi.com/journal/sensors
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Coils (Electromagnetism); Electric vehicle charging; Electric vehicles; Hybrid vehicles; Inductance; Magnetic properties; Mathematical analysis; Wireless sensors
- Identifier Terms: ANSYS (Computer program)
- Subject Areas: Energy; Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01777903
- Record Type: Publication
- Files: TRIS
- Created Date: Jul 27 2021 3:59PM