Dynamically charged vehicles suffer from power-loss during wireless power transfer due to vehicle coil misalignment while driving. Autonomous dynamically charged vehicles can maximize wireless power transfer by following an optimal charging path, but the repeated precision increases road wear. To avoid unnecessary road wear and rutting, a path planner can intentionally inject variability into an autonomous vehicle’s path. However, introducing variability into an optimal charging path risks depleting battery life prior to destination arrival, and it increases rider discomfort. Therefore, a path planner is proposed that guarantees average charging criteria and ensures rider comfort while reducing road wear.
| Identifer | oai:union.ndltd.org:UTAHS/oai:digitalcommons.usu.edu:etd-8632 |
| Date | 01 May 2019 |
| Creators | Ferrin, Clint Jay |
| Publisher | DigitalCommons@USU |
| Source Sets | Utah State University |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | All Graduate Theses and Dissertations |
| Rights | Copyright for this work is held by the author. Transmission or reproduction of materials protected by copyright beyond that allowed by fair use requires the written permission of the copyright owners. Works not in the public domain cannot be commercially exploited without permission of the copyright owner. Responsibility for any use rests exclusively with the user. For more information contact digitalcommons@usu.edu. |
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