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The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.

Compensation Topologies of High-Power Wireless Power Transfer Systems

Zhang, Wei, Mi, Chunting Chris·2016·IEEE Transactions on Vehicular Technology

Abstract

Wireless power transfer (WPT) is an emerging technology that can realize electric power transmission over certain distances without physical contact, offering significant benefits to modern automation systems, medical applications, consumer electronics, etc. This paper provides a comprehensive review of existing compensation topologies for the loosely coupled transformer. Compensation topologies are reviewed and evaluated based on their basic and advanced functions. Individual passive resonant networks used to achieve constant (load-independent) voltage or current output are analyzed and summarized. Popular WPT compensation topologies are given as application examples, which can be regarded as the combination of multiple blocks of resonant networks. Analyses of the input zero phase angle and soft switching are conducted as well. This paper also discusses the compensation requirements for achieving the maximum efficiency according to different WPT application areas.

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Metadata

Authors
Zhang, W., & Mi, C. C.
Venue
IEEE Transactions on Vehicular Technology
Published
2016-06
Volume
65
Issue
6
Pages
4768-4778
ISSN
  • 0018-9545 (ISSN-L)
  • 1939-9359
OpenAlex
W2427848313
Cited by
992
References
40
FWCI
22.61
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Compensation Topologies of High-Power Wireless Power Transfer Systems. https://app.cochat.ai/papers/10.1109/tvt.2015.2454292
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Zhang, W., & Mi, C. C. (2016). Compensation Topologies of High-Power Wireless Power Transfer Systems. IEEE Transactions on Vehicular Technology. https://doi.org/10.1109/tvt.2015.2454292

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.