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Battery Pack Part Detection and Disassembly Verification Using Computer Vision
Mälardalens högskola, Akademin för innovation, design och teknik.
2021 (engelsk)Independent thesis Advanced level (degree of Master (Two Years)), 20 poäng / 30 hpOppgave
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.

sted, utgiver, år, opplag, sider
2021. , s. 39
Emneord [en]
Computer vision, Disassembly, Battery disassembly, Battery pack, YOLO, Template matching
HSV kategori
Identifikatorer
URN: urn:nbn:se:mdh:diva-54852OAI: oai:DiVA.org:mdh-54852DiVA, id: diva2:1567608
Eksternt samarbeid
Northvolt
Fag / kurs
Computer Science
Presentation
2021-06-01, Online, Zoom, 14:40 (engelsk)
Veileder
Examiner
Tilgjengelig fra: 2021-06-21 Laget: 2021-06-16 Sist oppdatert: 2025-02-05bibliografisk kontrollert

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Battery_Pack_Part_Detection_And_Disassembly_Verification_Using_Computer_Vision(22668 kB)1308 nedlastinger
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