Designing and demonstration of misalignment reduction for wireless charging of autonomous electric vehicle
One of the key challenges in the adoption of wireless charging for Electric Vehicles (EVs) is the misalignment between the power pads. This manuscript presents an intelligent alignment of the receiving coil to reduce the magnetic leakage between the coupling power pads. The proposed solution implicates sensors to detect the flux strength at the corners and the middle of the receiver coil. A two-dimensional control technique is used for positioning of the receiver coil controlled through the stepper motor driver and a controller circuit. An array of the Hall effect sensor is installed on the receiver to sense the flux, where sensor receiving the smallest flux will generate the least voltage. Further, the controller sends the command to shift the receiver coil to the direction of the sensor receiving highest flux. This manuscript evaluates and verifies the magnetic flux pattern at the maximum alignment position between the transmitter and the receiver using Finite Element Analysis (FEA) on Ansys Maxwell®. The proposed solution mitigates the flux leakage and improves the efficiency of the wireless power transfer. Theoretical analysis is performed and all the elements of the systems are briefly discussed and explained to develop the proposed system. The modeling and simulation results verify the advantage of proposed intelligent alignment.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/25901168
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Supplemental Notes:
- © 2020 Elsevier B.V. All rights reserved. Abstract reprinted with permission of Elsevier.
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Authors:
- Ahmad, Aqueel
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0000-0002-7701-7236
- Alam, Mohammad Saad
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0000-0003-4008-2680
- Rafat, Yasser
- Shariff, Samir
- Publication Date: 2020-5
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: 100052
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Serial:
- eTransportation
- Volume: 4
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 2590-1168
- Serial URL: https://www.sciencedirect.com/journal/etransportation
Subject/Index Terms
- TRT Terms: Autonomous vehicles; Electric vehicles; Finite element method; Sensors
- Subject Areas: Energy; Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01840329
- Record Type: Publication
- Files: TRIS
- Created Date: Mar 25 2022 12:36PM