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Cited by 991

The DOI matches its Crossref record; 119 of the 119 references it cites were found in a registry or an index.

Wireless Power Transfer for Vehicular Applications: Overview and Challenges

Patil, Devendra, McDonough, Matthew K., Miller, John M., Fahimi, Babak, Balsara, Poras T.·2018·IEEE Transactions on Transportation Electrification

Abstract

More than a century-old gasoline internal combustion engine is a major contributor to greenhouse gases. Electric vehicles (EVs) have the potential to achieve eco-friendly transportation. However, the major limitation in achieving this vision is the battery technology. It suffers from drawbacks such as high cost, rare material, low energy density, and large weight. The problems related to battery technology can be addressed by dynamically charging the EV while on the move. In-motion charging can reduce the battery storage requirement, which could significantly extend the driving range of an EV. This paper reviews recent advances in stationary and dynamic wireless charging of EVs. A comprehensive review of charging pad, power electronics configurations, compensation networks, controls, and standards is presented.

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Registry

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Metadata

Authors
Patil, D., McDonough, M. K., Miller, J. M., Fahimi, B., & Balsara, P. T.
Venue
IEEE Transactions on Transportation Electrification
Published
2018-03
Volume
4
Issue
1
Pages
3-37
ISSN
2332-7782 (ISSN-L)
OpenAlex
W2772734097
Cited by
991
References
119
FWCI
23.83
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Wireless Power Transfer for Vehicular Applications: Overview and Challenges. https://app.cochat.ai/papers/10.1109/tte.2017.2780627
The paper
Patil, D., McDonough, M. K., Miller, J. M., Fahimi, B., & Balsara, P. T. (2018). Wireless Power Transfer for Vehicular Applications: Overview and Challenges. IEEE Transactions on Transportation Electrification. https://doi.org/10.1109/tte.2017.2780627

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.