High-Order Compensation Topology Integration for High-Tolerant Wireless Power Transfer Article Swipe
Zhaoyang Yuan
,
Qingxin Yang
,
Xian Zhang
,
Xianjie Ma
,
Zhixin Chen
,
Ming Xue
,
Pengcheng Zhang
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/en16020638
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/en16020638
Wireless power transfer (WPT) has been a promising way to transfer power wirelessly over certain distances through the mutual inductance (MI) of the magnetically coupled transmitter and receiver coils, providing significant benefits of convenience, safety, and feasibility to special occasions. The stable output and efficiency cannot be maintained due to the load variation and the inevitable misalignment between the magnetic couplers. High-order compensation topologies that are highly flexible in design due to more compensation elements are essential for the WPT to suppress the load variation and misalignment effects. However, due to core loss and thermal management, high-power-level and high-frequency inductor design have always been challenging for WPT systems. Space occupation and cost are other aspects to be considered for inductor design. Thus integrating these additional bulky inductors into the main coils has been a critical trial. As a result, the compensation topologies’ original input and output profiles will change or even disappear. This paper reviews the existing high-order compensation topologies and their integration principles and implementation for the WPT to obtain high misalignment tolerance. The design objectives and challenges of the integrated compensation topology in terms of misalignment tolerance capability are discussed. The relevant control systems to cope with coil misalignment and load variations are investigated. Challenges and future development of the high-tolerant WPT are discussed.
Related Topics
Concepts
Wireless power transfer
Compensation (psychology)
Inductor
Network topology
Maximum power transfer theorem
Inductance
Topology (electrical circuits)
Electromagnetic coil
Electrical engineering
Electronic engineering
Wireless
Transmitter
Power (physics)
Engineering
Computer science
Telecommunications
Computer network
Physics
Voltage
Psychoanalysis
Quantum mechanics
Psychology
Channel (broadcasting)
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/en16020638
- https://www.mdpi.com/1996-1073/16/2/638/pdf?version=1673925285
- OA Status
- gold
- Cited By
- 16
- References
- 153
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4313558834
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4313558834Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/en16020638Digital Object Identifier
- Title
-
High-Order Compensation Topology Integration for High-Tolerant Wireless Power TransferWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-01-05Full publication date if available
- Authors
-
Zhaoyang Yuan, Qingxin Yang, Xian Zhang, Xianjie Ma, Zhixin Chen, Ming Xue, Pengcheng ZhangList of authors in order
- Landing page
-
https://doi.org/10.3390/en16020638Publisher landing page
- PDF URL
-
https://www.mdpi.com/1996-1073/16/2/638/pdf?version=1673925285Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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-
https://www.mdpi.com/1996-1073/16/2/638/pdf?version=1673925285Direct OA link when available
- Concepts
-
Wireless power transfer, Compensation (psychology), Inductor, Network topology, Maximum power transfer theorem, Inductance, Topology (electrical circuits), Electromagnetic coil, Electrical engineering, Electronic engineering, Wireless, Transmitter, Power (physics), Engineering, Computer science, Telecommunications, Computer network, Physics, Voltage, Psychoanalysis, Quantum mechanics, Psychology, Channel (broadcasting)Top concepts (fields/topics) attached by OpenAlex
- Cited by
-
16Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 6, 2024: 5, 2023: 5Per-year citation counts (last 5 years)
- References (count)
-
153Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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