The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Blind-Zone-Free Metal Object Detection for Wireless EV Chargers Employing DD Coils by Passive Electromagnetic Sensing
Abstract
Metal object detection (MOD) is crucial for the safe operation of ground-assembled wireless electric vehicle charging (WEVC) systems. Electromagnetic sensing by passive coils is a reliable MOD method for high-power applications, such as WEVC. Previous designs of sensing coils are mainly targeted at the systems with unpolarized coils (e.g., circular coils). However, they are not suitable for those with DD-coil-coupling engaged due to the fundamentally different field pattern. To fix this problem, in this article, a field-oriented design of sensing coils is proposed, which mainly aims at blind-zone elimination while maintaining high sensitivity and cost-effectiveness. The blind zone arising from axial symmetry of the field is removed by size-modulated C-shape coil units. And removing the central blind spot relies on an extra patch coil by utilizing the characteristic of parallel magnetic flux generated by DD coils. Tested by 13 positions (central blind spot excluded) where MOs might exist using a 3-kW WEVC prototype, the optimized sensing coils completely remove the axial blind zones when 50 mV is set as the threshold voltage. Moreover, for the central blind spot, the proposed patch coil can stably identify MO intrusion no matter if the prototype operates in light-load or heavy-load conditions.
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The use of low-loss silicon carbide (SiC) or gallium nitride (GaN) power switches can mitigate switching losses and enhance overall system efficiency in DAB converters.
“While a large number of switches may lead to higher switching losses, the use of low-loss silicon carbide (SiC) [89] or gallium nitride (GaN) power switches [90] can effectively mitigate these losses and enhance overall system efficiency.”
From Bidirectional DC-DC Converter Topologies for Hybrid Energy Storage Systems in Electric Vehicles: A Comprehensive Review (2025) · cites this paper as [89]
Citations
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Flagged first, then by citations
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- 2017, Wireless Power Transfer for Light-Duty Plug-inElectric Vehicles and Alignment Methodology
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- 10.1109/TPEL.2020.3011761 · DOI
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Sorted by citations
Tong, Y., Salhi, I., Wang, Q., Lu, G., & Wu, S. (2025) · Energies · doi:10.3390/en18092312 · Cited by 60
“While a large number of switches may lead to higher switching losses, the use of low-loss silicon carbide (SiC) [89] or gallium nitride (GaN) power switches [90] can effectively mitigate these losses and enhance overall system efficiency.”
Niu, S., Zhao, Q., Niu, S., & Jian, L. (2024) · IEEE Journal of Emerging and Selected Topics in Industrial Electronics · doi:10.1109/jestie.2024.3417244 · Cited by 36
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Self-citation
Metadata
- Authors
- Niu, S., Niu, S., Zhang, C., & Jian, L.
- Affiliations
- Hong Kong Polytechnic University (HK)
- Southern University of Science and Technology (CN)
- Venue
- IEEE Transactions on Industrial Electronics
- Published
- 2023-01
- Volume
- 70
- Issue
- 1
- Pages
- 965-974
- ISSN
- 0278-0046 (ISSN-L)
- 1557-9948
- OpenAlex
- W4212853428
- Cited by
- 28
- References
- 25
- Citations by year
- 2026: 7 · 2025: 7 · 2024: 8 · 2023: 5
- FWCI
- 1.44
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- IEEE Transactions on Industrial Electronics (publishedVersion)
- Funders
- Science and Technology Innovation Committee of Shenzhen (20200925154042003)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Wireless Power Transfer Systems
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Magnetic Field Sensors Techniques
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Induction Heating and Inverter Technology
- Keywords
- metal object detection, electric vehicle wireless charging, intrusion detection
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