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Cutting the Cord: Static and Dynamic Inductive Wireless Charging of Electric Vehicles

Lukic, Srdjan, Pantic, Zeljko·2013·IEEE Electrification Magazine

Abstract

In this article, we have reviewed the state of the art of IPT systems and have explored the suitability of the technology to wirelessly charge battery powered vehicles. the review shows that the IPT technology has merits for stationary charging (when the vehicle is parked), opportunity charging (when the vehicle is stopped for a short period of time, for example, at a bus stop), and dynamic charging (when the vehicle is moving along a dedicated lane equipped with an IPT system). Dynamic wireless charging holds promise to partially or completely eliminate the overnight charging through a compact network of dynamic chargers installed on the roads that would keep the vehicle batteries charged at all times, consequently reducing the range anxiety and increasing the reliability of EVs. Dynamic charging can help lower the price of EVs by reducing the size of the battery pack. Indeed, if the recharging energy is readily available, the batteries do not have to support the whole driving range but only supply power when the IPT system is not available. Depending on the power capability, the use of dynamic charging may increase driving range and reduce the size of the battery pack.

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Metadata

Authors
Lukic, S., & Pantic, Z.
Venue
IEEE Electrification Magazine
Published
2013-09
Volume
1
Issue
1
Pages
57-64
ISSN
  • 2325-5889 (ISSN-L)
  • 2325-5897
OpenAlex
W2084004772
Cited by
424
References
0
FWCI
13.18
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Cutting the Cord: Static and Dynamic Inductive Wireless Charging of Electric Vehicles. https://app.cochat.ai/papers/10.1109/mele.2013.2273228
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Lukic, S., & Pantic, Z. (2013). Cutting the Cord: Static and Dynamic Inductive Wireless Charging of Electric Vehicles. IEEE Electrification Magazine. https://doi.org/10.1109/mele.2013.2273228

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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.