Directional Characteristics of Wireless Power Transfer via Coupled Magnetic Resonance Article Swipe
Yang Li
,
Jiaming Liu
,
Qingxin Yang
,
Xin Ni
,
Yujie Zhai
,
Zhigang Lou
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.3390/electronics9111910
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.3390/electronics9111910
The wireless power transfer (WPT) system via coupled magnetic resonance (CMR) is an efficient and practical power transmission technology that can realize medium- and long-distance power transmission. People’s requirements for the flexibility of charging equipment are becoming increasingly prominent. How to get rid of the “flitch plate type” wireless charging method and enhance the anti-offset performance is the main research direction. Directional characteristics of the system can affect the load receive power and system efficiency in practical applications. In this paper, the power and efficiency of the WPT system via CMR were analyzed according to the principle of near-field strong coupling at first. The expression of the mutual inductance between the transmitting and the receiving coils under angular offset was derived from the perspective of the mathematical model, and the influences of angular deviation were analyzed. Second, simulation models were established under different distance between coils, different coil types, and different coil radius ratios in symmetrical and asymmetrical systems. Afterwards, the directional law was obtained, providing reference for the optimal design of coupling coils. Finally, an experimental system was built, and directional characteristic experiments were carried out under different conditions. Experimental results were consistent with simulation results, which verified the theoretical analysis.
Related Topics
Concepts
Wireless power transfer
Electromagnetic coil
Offset (computer science)
Wireless
Maximum power transfer theorem
Inductance
Power transmission
Inductive coupling
Coupling coefficient of resonators
Coupling (piping)
Electronic engineering
Power (physics)
Electrical engineering
Engineering
Computer science
Physics
Telecommunications
Mechanical engineering
Resonator
Programming language
Voltage
Quantum mechanics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/electronics9111910
- https://www.mdpi.com/2079-9292/9/11/1910/pdf
- OA Status
- gold
- Cited By
- 12
- References
- 30
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3106318563
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3106318563Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/electronics9111910Digital Object Identifier
- Title
-
Directional Characteristics of Wireless Power Transfer via Coupled Magnetic ResonanceWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-11-13Full publication date if available
- Authors
-
Yang Li, Jiaming Liu, Qingxin Yang, Xin Ni, Yujie Zhai, Zhigang LouList of authors in order
- Landing page
-
https://doi.org/10.3390/electronics9111910Publisher landing page
- PDF URL
-
https://www.mdpi.com/2079-9292/9/11/1910/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2079-9292/9/11/1910/pdfDirect OA link when available
- Concepts
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Wireless power transfer, Electromagnetic coil, Offset (computer science), Wireless, Maximum power transfer theorem, Inductance, Power transmission, Inductive coupling, Coupling coefficient of resonators, Coupling (piping), Electronic engineering, Power (physics), Electrical engineering, Engineering, Computer science, Physics, Telecommunications, Mechanical engineering, Resonator, Programming language, Voltage, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
12Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 5, 2023: 3, 2022: 3Per-year citation counts (last 5 years)
- References (count)
-
30Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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