Metallic object detection in inductive power transfer systems
Due to the conductive nature of Metal Objects (MO), the presence of foreign MO can cause complications in an Inductive Power Transfer (IPT) system. In IPT system, strong magnetic fields are generated to achieve contactless electric power transmission. When a foreign MO interacts with the gener...
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sg-ntu-dr.10356-1582302023-07-07T19:34:53Z Metallic object detection in inductive power transfer systems Soo, Zong Jun Tang Yi School of Electrical and Electronic Engineering yitang@ntu.edu.sg Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Due to the conductive nature of Metal Objects (MO), the presence of foreign MO can cause complications in an Inductive Power Transfer (IPT) system. In IPT system, strong magnetic fields are generated to achieve contactless electric power transmission. When a foreign MO interacts with the generated magnetic fields, it gets heated up due to the induced eddy current in the MO. This may lead to ignition hazards. Therefore, to ensure the safe operation of IPT, a Metal Object Detection (MOD) System is essential to alert the IPT system when the presence of MO is recognized. Different types of MOD methods were studied and a MO detection coil prototype utilizing the Sensing Pattern-Based Detection Method was proposed. The proposed detection coil was divided into multiple rows of two separate coils (D-coil and Q-coil). Experiments were conducted to verify the effectiveness, sensitivity, and reliability of the detection coil in identifying MO. The test MO used in the experiment was a 10-cents Singapore Dollar Coin. The experiment includes Induced Voltage variation test and Inductance & Impedance variation test. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-06-01T23:54:08Z 2022-06-01T23:54:08Z 2022 Final Year Project (FYP) Soo, Z. J. (2022). Metallic object detection in inductive power transfer systems. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158230 https://hdl.handle.net/10356/158230 en A1142-211 application/pdf Nanyang Technological University |
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Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Soo, Zong Jun Metallic object detection in inductive power transfer systems |
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Due to the conductive nature of Metal Objects (MO), the presence of foreign MO can
cause complications in an Inductive Power Transfer (IPT) system. In IPT system,
strong magnetic fields are generated to achieve contactless electric power transmission.
When a foreign MO interacts with the generated magnetic fields, it gets heated up due
to the induced eddy current in the MO. This may lead to ignition hazards. Therefore,
to ensure the safe operation of IPT, a Metal Object Detection (MOD) System is
essential to alert the IPT system when the presence of MO is recognized. Different
types of MOD methods were studied and a MO detection coil prototype utilizing the
Sensing Pattern-Based Detection Method was proposed. The proposed detection coil
was divided into multiple rows of two separate coils (D-coil and Q-coil). Experiments
were conducted to verify the effectiveness, sensitivity, and reliability of the detection
coil in identifying MO. The test MO used in the experiment was a 10-cents Singapore
Dollar Coin. The experiment includes Induced Voltage variation test and Inductance
& Impedance variation test. |
author2 |
Tang Yi |
author_facet |
Tang Yi Soo, Zong Jun |
format |
Final Year Project |
author |
Soo, Zong Jun |
author_sort |
Soo, Zong Jun |
title |
Metallic object detection in inductive power transfer systems |
title_short |
Metallic object detection in inductive power transfer systems |
title_full |
Metallic object detection in inductive power transfer systems |
title_fullStr |
Metallic object detection in inductive power transfer systems |
title_full_unstemmed |
Metallic object detection in inductive power transfer systems |
title_sort |
metallic object detection in inductive power transfer systems |
publisher |
Nanyang Technological University |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/158230 |
_version_ |
1772826296334680064 |