Transforming electric vehicle charging through solar integration and high-frequency magnetic induction for seamless wireless power transfer.
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| Title: | Transforming electric vehicle charging through solar integration and high-frequency magnetic induction for seamless wireless power transfer. |
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| Authors: | Chinnaiyan, Selvan1 dr.selvan.c@gmail.com, Manickam, Prabhakar2 laxmi.prabakar@gmail.com, G., Madhu Chandra3 madhu.guru1984@gmail.com, V., Aarthi3 aarthi.v29@gmail.com, C. R., Narendra Babu1 narendrababu.cr@gmail.com |
| Source: | International Journal of Electrical & Computer Engineering (2088-8708). Jun2026, Vol. 16 Issue 3, p1118-1131. 14p. |
| Subjects: | Wireless power transmission, Electromagnetic induction, Electric vehicle charging stations, Photovoltaic power generation, Electric power management, Photovoltaic power systems |
| Abstract: | The rapid adoption of electric vehicles (EVs) is constrained by limited charging infrastructure, prolonged charging duration, grid dependency, and inefficiencies in conventional wireless charging systems. To address these challenges, this paper proposes a solar-integrated high-frequency inductive wireless charging framework that enables efficient, contactless, and partially dynamic EV charging. The proposed system combines a photovoltaic (PV) energy harvesting subsystem with maximum power point tracking (MPPT), a high-frequency resonant inductive coupling mechanism using a series-series (SS) topology, and an intelligent solar inductive synergy optimization algorithm (SISOA) for adaptive power and energy storage management. The theoretical foundation of the system is based on Faraday's law of electromagnetic induction and resonant magnetic coupling to enhance mutual inductance and power transfer efficiency. Simulation studies conducted in MATLAB/Simulink demonstrate that the proposed approach achieves a mutual inductance of 82.5, an output voltage of 500 V, and an output power of 4,800 W, while reducing overall power losses to 21.18% and improving system efficiency to 94.5%. The results further reveal that vehicle speed and the number of receiver coils significantly influence charging effectiveness and state-of-charge performance. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Electrical & Computer Engineering (2088-8708) is the property of Institute of Advanced Engineering & Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 194285604 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Transforming electric vehicle charging through solar integration and high-frequency magnetic induction for seamless wireless power transfer. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Chinnaiyan%2C+Selvan%22">Chinnaiyan, Selvan</searchLink><relatesTo>1</relatesTo><i> dr.selvan.c@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Manickam%2C+Prabhakar%22">Manickam, Prabhakar</searchLink><relatesTo>2</relatesTo><i> laxmi.prabakar@gmail.com</i><br /><searchLink fieldCode="AR" term="%22G%2E%2C+Madhu+Chandra%22">G., Madhu Chandra</searchLink><relatesTo>3</relatesTo><i> madhu.guru1984@gmail.com</i><br /><searchLink fieldCode="AR" term="%22V%2E%2C+Aarthi%22">V., Aarthi</searchLink><relatesTo>3</relatesTo><i> aarthi.v29@gmail.com</i><br /><searchLink fieldCode="AR" term="%22C%2E+R%2E%2C+Narendra+Babu%22">C. R., Narendra Babu</searchLink><relatesTo>1</relatesTo><i> narendrababu.cr@gmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Electrical+%26+Computer+Engineering+%282088-8708%29%22">International Journal of Electrical & Computer Engineering (2088-8708)</searchLink>. Jun2026, Vol. 16 Issue 3, p1118-1131. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Wireless+power+transmission%22">Wireless power transmission</searchLink><br /><searchLink fieldCode="DE" term="%22Electromagnetic+induction%22">Electromagnetic induction</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+vehicle+charging+stations%22">Electric vehicle charging stations</searchLink><br /><searchLink fieldCode="DE" term="%22Photovoltaic+power+generation%22">Photovoltaic power generation</searchLink><br /><searchLink fieldCode="DE" term="%22Electric+power+management%22">Electric power management</searchLink><br /><searchLink fieldCode="DE" term="%22Photovoltaic+power+systems%22">Photovoltaic power systems</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The rapid adoption of electric vehicles (EVs) is constrained by limited charging infrastructure, prolonged charging duration, grid dependency, and inefficiencies in conventional wireless charging systems. To address these challenges, this paper proposes a solar-integrated high-frequency inductive wireless charging framework that enables efficient, contactless, and partially dynamic EV charging. The proposed system combines a photovoltaic (PV) energy harvesting subsystem with maximum power point tracking (MPPT), a high-frequency resonant inductive coupling mechanism using a series-series (SS) topology, and an intelligent solar inductive synergy optimization algorithm (SISOA) for adaptive power and energy storage management. The theoretical foundation of the system is based on Faraday's law of electromagnetic induction and resonant magnetic coupling to enhance mutual inductance and power transfer efficiency. Simulation studies conducted in MATLAB/Simulink demonstrate that the proposed approach achieves a mutual inductance of 82.5, an output voltage of 500 V, and an output power of 4,800 W, while reducing overall power losses to 21.18% and improving system efficiency to 94.5%. The results further reveal that vehicle speed and the number of receiver coils significantly influence charging effectiveness and state-of-charge performance. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Electrical & Computer Engineering (2088-8708) is the property of Institute of Advanced Engineering & Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.11591/ijece.v16i3.pp1118-1131 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 1118 Subjects: – SubjectFull: Wireless power transmission Type: general – SubjectFull: Electromagnetic induction Type: general – SubjectFull: Electric vehicle charging stations Type: general – SubjectFull: Photovoltaic power generation Type: general – SubjectFull: Electric power management Type: general – SubjectFull: Photovoltaic power systems Type: general Titles: – TitleFull: Transforming electric vehicle charging through solar integration and high-frequency magnetic induction for seamless wireless power transfer. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chinnaiyan, Selvan – PersonEntity: Name: NameFull: Manickam, Prabhakar – PersonEntity: Name: NameFull: G., Madhu Chandra – PersonEntity: Name: NameFull: V., Aarthi – PersonEntity: Name: NameFull: C. R., Narendra Babu IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 20888708 Numbering: – Type: volume Value: 16 – Type: issue Value: 3 Titles: – TitleFull: International Journal of Electrical & Computer Engineering (2088-8708) Type: main |
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