Battery Pack Part Detection and Disassembly Verification Using Computer Vision
2021 (Engelska) Självständigt arbete på avancerad nivå (masterexamen), 20 poäng / 30 hp
Studentuppsats (Examensarbete)
Abstract [en]
Developing the greenest battery cell and establishing a European supply of batteries is the main goal for Northvolt. To achieve this, the recycling of batteries is a key enabler towards closing the loop and enabling the future of energy.When it comes to the recycling of electric vehicle battery packs, dismantling is one of of the main process steps.Given the size, weight and high voltage of the battery packs, automatic disassembly using robots is the preferred solution. The work presented in this thesis aims to develop and integrate a vision system able to identify and verify the battery pack dismantling process. To achieve this, two cameras were placed in the robot cell and the object detectors You Only Look Once (YOLO) and template matching were implemented, tested and compared. The results show that YOLO is the best object detector out of the ones implemented. The integration of the vision system with the robot controller was also tested and showed that with the results from the vision system, the robot controller can make informed decisions regarding the disassembly.
Ort, förlag, år, upplaga, sidor 2021. , s. 39
Nyckelord [en]
Computer vision, Disassembly, Battery disassembly, Battery pack, YOLO, Template matching
Nationell ämneskategori
Robotik och automation Datavetenskap (datalogi)
Identifikatorer URN: urn:nbn:se:mdh:diva-54852 OAI: oai:DiVA.org:mdh-54852 DiVA, id: diva2:1567608
Externt samarbete
Northvolt
Ämne / kurs Datavetenskap
Presentation
2021-06-01, Online, Zoom, 14:40 (Engelska)
Handledare
Examinatorer
2021-06-212021-06-162025-02-05 Bibliografiskt granskad