Simulation of Foreign Object Detection Using Passive Inductive Sensors in a Wireless Charging System for Electric Vehicles

During wireless charging of the traction battery of electrically powered vehicles, the active area between the ground and vehicle assemblies must be monitored for inductive power transfer. If metallic foreign objects enter this area, they interact with the magnetic field and can heat up strongly, an...

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Main Authors: Uwe Hentschel, Martin Helwig, Anja Winkler, Niels Modler
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:World Electric Vehicle Journal
Subjects:
Online Access:https://www.mdpi.com/2032-6653/14/9/241
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author Uwe Hentschel
Martin Helwig
Anja Winkler
Niels Modler
author_facet Uwe Hentschel
Martin Helwig
Anja Winkler
Niels Modler
author_sort Uwe Hentschel
collection DOAJ
description During wireless charging of the traction battery of electrically powered vehicles, the active area between the ground and vehicle assemblies must be monitored for inductive power transfer. If metallic foreign objects enter this area, they interact with the magnetic field and can heat up strongly, and thus become a potential source of hazard. To detect such foreign objects, measurements based on passive inductive sensors have already been carried out in advance. However, a large number of factors influence the detectability of metallic foreign objects, such as the characteristics of the magnetic field of the ground assembly coil, the size, shape, position, orientation, and material composition of the foreign objects, or the design of the sensor coils. The related practical testing effort can be reduced if the characteristics of the charging system and the foreign object detection system can be simulated. Therefore, simulation models were developed within the scope of this work and validated with the help of practical measurements. These models were used in the next step to analyze new test arrangements that had not yet been investigated by measurement. In the simulations described here, precision in the range of 1 mV could be achieved. Cumulatively, many influencing factors can be easily investigated, and results can be generated in a largely automated manner and typically in a wider variety than with practical measurements.
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spelling doaj.art-962a4577bc584c988a99f8b94976c9632023-11-19T13:27:11ZengMDPI AGWorld Electric Vehicle Journal2032-66532023-09-0114924110.3390/wevj14090241Simulation of Foreign Object Detection Using Passive Inductive Sensors in a Wireless Charging System for Electric VehiclesUwe Hentschel0Martin Helwig1Anja Winkler2Niels Modler3Institut für Leichtbau und Kunststofftechnik, Technische Universität Dresden, Holbeinstraße 3, 01307 Dresden, GermanyInstitut für Leichtbau und Kunststofftechnik, Technische Universität Dresden, Holbeinstraße 3, 01307 Dresden, GermanyInstitut für Leichtbau und Kunststofftechnik, Technische Universität Dresden, Holbeinstraße 3, 01307 Dresden, GermanyInstitut für Leichtbau und Kunststofftechnik, Technische Universität Dresden, Holbeinstraße 3, 01307 Dresden, GermanyDuring wireless charging of the traction battery of electrically powered vehicles, the active area between the ground and vehicle assemblies must be monitored for inductive power transfer. If metallic foreign objects enter this area, they interact with the magnetic field and can heat up strongly, and thus become a potential source of hazard. To detect such foreign objects, measurements based on passive inductive sensors have already been carried out in advance. However, a large number of factors influence the detectability of metallic foreign objects, such as the characteristics of the magnetic field of the ground assembly coil, the size, shape, position, orientation, and material composition of the foreign objects, or the design of the sensor coils. The related practical testing effort can be reduced if the characteristics of the charging system and the foreign object detection system can be simulated. Therefore, simulation models were developed within the scope of this work and validated with the help of practical measurements. These models were used in the next step to analyze new test arrangements that had not yet been investigated by measurement. In the simulations described here, precision in the range of 1 mV could be achieved. Cumulatively, many influencing factors can be easily investigated, and results can be generated in a largely automated manner and typically in a wider variety than with practical measurements.https://www.mdpi.com/2032-6653/14/9/241foreign object detection (FOD)wireless power transfer (WPT)wireless inductive chargingpassive inductive sensorsensor characterizationelectric vehicle (EV)
spellingShingle Uwe Hentschel
Martin Helwig
Anja Winkler
Niels Modler
Simulation of Foreign Object Detection Using Passive Inductive Sensors in a Wireless Charging System for Electric Vehicles
World Electric Vehicle Journal
foreign object detection (FOD)
wireless power transfer (WPT)
wireless inductive charging
passive inductive sensor
sensor characterization
electric vehicle (EV)
title Simulation of Foreign Object Detection Using Passive Inductive Sensors in a Wireless Charging System for Electric Vehicles
title_full Simulation of Foreign Object Detection Using Passive Inductive Sensors in a Wireless Charging System for Electric Vehicles
title_fullStr Simulation of Foreign Object Detection Using Passive Inductive Sensors in a Wireless Charging System for Electric Vehicles
title_full_unstemmed Simulation of Foreign Object Detection Using Passive Inductive Sensors in a Wireless Charging System for Electric Vehicles
title_short Simulation of Foreign Object Detection Using Passive Inductive Sensors in a Wireless Charging System for Electric Vehicles
title_sort simulation of foreign object detection using passive inductive sensors in a wireless charging system for electric vehicles
topic foreign object detection (FOD)
wireless power transfer (WPT)
wireless inductive charging
passive inductive sensor
sensor characterization
electric vehicle (EV)
url https://www.mdpi.com/2032-6653/14/9/241
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