Sensor Fusion Based Automatic Misalignment Detection and Correction System for Wireless Charging
A Master of Science thesis in Electrical Engineering by Ali Younis Al Dahhan entitled, “Sensor Fusion Based Automatic Misalignment Detection and Correction System for Wireless Charging”, submitted in May 2024. Thesis advisor is Dr. Ahmed Osman and thesis co-advisors are Dr. Mohamed Hassan and Dr. Sh...
محفوظ في:
| المؤلف الرئيسي: | |
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| التنسيق: | doctoralThesis |
| منشور في: |
2024
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://hdl.handle.net/11073/25595 |
| الوسوم: |
إضافة وسم
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| _version_ | 1864513431823974400 |
|---|---|
| author | Al Dahhan, Ali Younis |
| author_facet | Al Dahhan, Ali Younis |
| author_role | author |
| dc.contributor.none.fl_str_mv | Osman, Ahmed Hassan, Mohamed Mukhopadhyay, Shayok |
| dc.creator.none.fl_str_mv | Al Dahhan, Ali Younis |
| dc.date.none.fl_str_mv | 2024-09-18T10:15:32Z 2024-09-18T10:15:32Z 2024-05 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | 35.232-2024.08 https://hdl.handle.net/11073/25595 |
| dc.language.none.fl_str_mv | en_US |
| dc.subject.none.fl_str_mv | Electric Vehicle Wireless Power Transfer Misalignment Sensor Fusion |
| dc.title.none.fl_str_mv | Sensor Fusion Based Automatic Misalignment Detection and Correction System for Wireless Charging |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/doctoralThesis |
| description | A Master of Science thesis in Electrical Engineering by Ali Younis Al Dahhan entitled, “Sensor Fusion Based Automatic Misalignment Detection and Correction System for Wireless Charging”, submitted in May 2024. Thesis advisor is Dr. Ahmed Osman and thesis co-advisors are Dr. Mohamed Hassan and Dr. Shayok Mukhopadhyay. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form). |
| format | doctoralThesis |
| id | aus_79401fc4a45be25638bf7647b1b10912 |
| identifier_str_mv | 35.232-2024.08 |
| language_invalid_str_mv | en_US |
| network_acronym_str | aus |
| network_name_str | aus |
| oai_identifier_str | oai:repository.aus.edu:11073/25595 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Sensor Fusion Based Automatic Misalignment Detection and Correction System for Wireless ChargingAl Dahhan, Ali YounisElectric VehicleWireless Power TransferMisalignmentSensor FusionA Master of Science thesis in Electrical Engineering by Ali Younis Al Dahhan entitled, “Sensor Fusion Based Automatic Misalignment Detection and Correction System for Wireless Charging”, submitted in May 2024. Thesis advisor is Dr. Ahmed Osman and thesis co-advisors are Dr. Mohamed Hassan and Dr. Shayok Mukhopadhyay. Soft copy is available (Thesis, Completion Certificate, Approval Signatures, and AUS Archives Consent Form).Wireless charging systems whether it is a static or a dynamic system, lateral misalignment is an intrinsic, inherent, and inevitable problem for all electric vehicles (EVs) equipped with charging coils. Such a dire problem impacts static wireless power transfer (SWPT) and dynamic wireless power transfer (DWPT). In SWPT the aim is to provide a convenient and reliable charging method in parking areas, alleviating the burden, and enhancing the overall charging experience for the EV driver. DWPT is a promising technology aimed at addressing the limited range, range anxiety, the need for smaller batteries, and the scarcity of charging infrastructure associated with electric vehicles (EVs). Both SWPT and DWPT help in eliminating the large spaces occupied by the charging stations, and the dangers of conventional charging such as: Poor contact, contact burning, and shortened lifespan of the charging gun and vehicle socket. Numerous studies have delved deeply into addressing this challenge. These efforts span a spectrum of approaches, including advancements in coil design and geometries, enhancements to circuitry topologies, and the incorporation of auxiliary coils or sensors for detecting and correcting misalignments. This thesis proposes the use of a sensor fusion based approach that fuse the individual advantages of the vision and sensor-based approaches to detect lateral misalignment between the EV receiving coil and the segmented transmitting coils in the charging lanes. In the vision-based approach, a camera is utilized for lane detection. This approach estimates the lateral shift of the EV relative to the center of the charging lane. The sensor-based approach relies on Hall effect sensors or detection coils to detect the misalignment of the EV. A one-dimensional actuator 1D positioner shifts the receiving coil accordingly to correct the misalignment error independently. The vision-based approach showed a wide detection range for misalignments spanning from [-15,15] cm, with a low correction accuracy of 2 to 5 cm. Juxtaposed to the sensor-based approach which lacks the detection range aspect [-3,3] but outperforms the vision-based approach with a correction accuracy of < 1 mm. Therefore, a sensor fusion-based approach is proposed to extract the advantages of each individual approach. An experimental setup is developed to evaluate the proposed approach while transferring 108 W of power.College of EngineeringDepartment of Electrical EngineeringMaster of Science in Electrical Engineering (MSEE)Osman, AhmedHassan, MohamedMukhopadhyay, Shayok2024-09-18T10:15:32Z2024-09-18T10:15:32Z2024-05info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdf35.232-2024.08https://hdl.handle.net/11073/25595en_USoai:repository.aus.edu:11073/255952026-04-22T07:12:22Z |
| spellingShingle | Sensor Fusion Based Automatic Misalignment Detection and Correction System for Wireless Charging Al Dahhan, Ali Younis Electric Vehicle Wireless Power Transfer Misalignment Sensor Fusion |
| status_str | publishedVersion |
| title | Sensor Fusion Based Automatic Misalignment Detection and Correction System for Wireless Charging |
| title_full | Sensor Fusion Based Automatic Misalignment Detection and Correction System for Wireless Charging |
| title_fullStr | Sensor Fusion Based Automatic Misalignment Detection and Correction System for Wireless Charging |
| title_full_unstemmed | Sensor Fusion Based Automatic Misalignment Detection and Correction System for Wireless Charging |
| title_short | Sensor Fusion Based Automatic Misalignment Detection and Correction System for Wireless Charging |
| title_sort | Sensor Fusion Based Automatic Misalignment Detection and Correction System for Wireless Charging |
| topic | Electric Vehicle Wireless Power Transfer Misalignment Sensor Fusion |
| url | https://hdl.handle.net/11073/25595 |