Numerical and Experimental Investigation of Time-Domain-Reflectometry-Based Sensors for Foreign Object Detection in Wireless Power Transfer Systems.

electric time domain reflectometry foreign object detection inductive power transfer metal object detection wireless charging wireless power transfer

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
26 Nov 2023
Historique:
received: 17 10 2023
revised: 09 11 2023
accepted: 17 11 2023
medline: 9 12 2023
pubmed: 9 12 2023
entrez: 9 12 2023
Statut: epublish

Résumé

Foreign object detection (FOD) is considered a key method for detecting objects in the air gap of a wireless charging system that could pose a risk due to strong inductive heating. This paper describes a novel method for the detection of metallic objects utilizing the principle of electric time domain reflectometry. Through an analytical, numerical and experimental investigation, two key parameters for the design of transmission lines are identified and investigated with respect to the specific constraints of inductive power transfer. For this purpose, a transient electromagnetic simulation model is established to obtain and compare the sensor impedance and reflection coefficients with experimental data. The measurement setup is based on parametrically designed sensors in laboratory scale, using an EUR 2 coin as an exemplary test object. Consequently, the proposed simulation model has been successfully validated in this study, providing a comprehensive quantitative and qualitative analysis of the major transmission line design parameters for such applications.

Identifiants

pubmed: 38067799
pii: s23239425
doi: 10.3390/s23239425
pmc: PMC10708816
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

Opt Express. 2006 Dec 25;14(26):12944-9
pubmed: 19532187
Sensors (Basel). 2022 Jan 19;22(3):
pubmed: 35161481

Auteurs

Martin Helwig (M)

Institut für Leichtbau und Kunststofftechnik, Technische Universität Dresden, 01307 Dresden, Germany.

Yun Xu (Y)

Institut für Leichtbau und Kunststofftechnik, Technische Universität Dresden, 01307 Dresden, Germany.

Uwe Hentschel (U)

Institut für Leichtbau und Kunststofftechnik, Technische Universität Dresden, 01307 Dresden, Germany.

Anja Winkler (A)

Institut für Leichtbau und Kunststofftechnik, Technische Universität Dresden, 01307 Dresden, Germany.

Niels Modler (N)

Institut für Leichtbau und Kunststofftechnik, Technische Universität Dresden, 01307 Dresden, Germany.

Classifications MeSH