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Article: Design and Implementation of a Multi-Purpose TMR Sensor Matrix for Wireless Electric Vehicle Charging

TitleDesign and Implementation of a Multi-Purpose TMR Sensor Matrix for Wireless Electric Vehicle Charging
Authors
KeywordsCoil misalignment detection
Electric vehicle (EV) charging
Foreign metal object detection
Sensor matrix
Tunneling magnetoresistive (TMR) sensors
Wireless power transfer (WPT)
Issue Date2019
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7361
Citation
IEEE Sensors Journal, 2019, v. 19 n. 5, p. 1683-1692 How to Cite?
AbstractA cost-effective technology to monitor the charging performance and detect the coil misalignment and foreign metal objects is indispensable to the commercialization of wireless power transfer on electric vehicle (EV) charging. This paper presents a multi-purpose tunneling magnetoresistive (TMR) sensor matrix, which can monitor the charging performance as well as detect both the coil misalignment and metal objects for wireless EV charging. The magnetic field distribution between coils is measured by the TMR sensor matrix to provide the critical information about charging performance, coil misalignment position, and the existence of metal objects. The mutual inductance and charging power are derived from the measured z-components of the magnetic flux densities. Lateral misalignment position is determined by the symmetry coefficients of the time-varying magnetic field distribution in the range of ±150 mm. Metal objects are detected by the measured magnetic field offsets. In this paper, both 3D finite-element-method modeling and experimental results were presented to demonstrate the effectiveness of the proposed approach. A 14 × 14 TMR sensor matrix with high sensitivity of 80 mV/V/mT was designed and implemented to measure the magnetic field distribution in order to demonstrate the technology.
Persistent Identifierhttp://hdl.handle.net/10722/272194
ISSN
2017 Impact Factor: 2.617
2015 SCImago Journal Rankings: 0.759
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLiu, X-
dc.contributor.authorLiu, C-
dc.contributor.authorHan, W-
dc.contributor.authorPong, PWT-
dc.date.accessioned2019-07-20T10:37:30Z-
dc.date.available2019-07-20T10:37:30Z-
dc.date.issued2019-
dc.identifier.citationIEEE Sensors Journal, 2019, v. 19 n. 5, p. 1683-1692-
dc.identifier.issn1530-437X-
dc.identifier.urihttp://hdl.handle.net/10722/272194-
dc.description.abstractA cost-effective technology to monitor the charging performance and detect the coil misalignment and foreign metal objects is indispensable to the commercialization of wireless power transfer on electric vehicle (EV) charging. This paper presents a multi-purpose tunneling magnetoresistive (TMR) sensor matrix, which can monitor the charging performance as well as detect both the coil misalignment and metal objects for wireless EV charging. The magnetic field distribution between coils is measured by the TMR sensor matrix to provide the critical information about charging performance, coil misalignment position, and the existence of metal objects. The mutual inductance and charging power are derived from the measured z-components of the magnetic flux densities. Lateral misalignment position is determined by the symmetry coefficients of the time-varying magnetic field distribution in the range of ±150 mm. Metal objects are detected by the measured magnetic field offsets. In this paper, both 3D finite-element-method modeling and experimental results were presented to demonstrate the effectiveness of the proposed approach. A 14 × 14 TMR sensor matrix with high sensitivity of 80 mV/V/mT was designed and implemented to measure the magnetic field distribution in order to demonstrate the technology.-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=7361-
dc.relation.ispartofIEEE Sensors Journal-
dc.subjectCoil misalignment detection-
dc.subjectElectric vehicle (EV) charging-
dc.subjectForeign metal object detection-
dc.subjectSensor matrix-
dc.subjectTunneling magnetoresistive (TMR) sensors-
dc.subjectWireless power transfer (WPT)-
dc.titleDesign and Implementation of a Multi-Purpose TMR Sensor Matrix for Wireless Electric Vehicle Charging-
dc.typeArticle-
dc.identifier.emailLiu, C: chhualiu@hku.hk-
dc.identifier.emailPong, PWT: ppong@hkucc.hku.hk-
dc.identifier.authorityLiu, C=rp01815-
dc.identifier.authorityPong, PWT=rp00217-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/JSEN.2018.2883708-
dc.identifier.scopuseid_2-s2.0-85057781623-
dc.identifier.hkuros299247-
dc.identifier.volume19-
dc.identifier.issue5-
dc.identifier.spage1683-
dc.identifier.epage1692-
dc.identifier.isiWOS:000458184000009-
dc.publisher.placeUnited States-

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