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Extraction of valuable feature data from 3D Digital model to provide input data for automated EV battery disassembling system
University West, Department of Engineering Science.
2022 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The exponential increase in the use of Electric vehicles has a potential remark that there would be a massive count of EV battery packs reaching end of life. Such products being hazardous to environment, it is clearly proven to have processes to reuse or recycle the same. Northvolt AB leading Li-ion battery manufacturer in Europe is striving towards developing green battery technology. Besides being a leading industry to produce batteries, they have realised the need of recycling EV batteries at an early stage and developed a pilot-scale recycling plant now to close the loop of battery manufacturing. In pilot plant, the primary step to handle EOL EV batteries is to dismantle them in an automated manner. The present thesis work contributes towards developing the automated dismantling process to be more flexible and reliable in handling heterogeneous battery packs arriving from various car manufacturers. Out of many research works being carried out in the pilot setup, the current thesis work is focusing towards two key areas of product digitalization to obtain a digital model of real-world object and extracting data from a digital model to provide a data input to the control systems of automated disassembling process. This clearly eliminates the methods of lower-level programming of automated systems and saves time and resources involved in re-programming and increase flexibility in the process.

Place, publisher, year, edition, pages
2022. , p. 38
Keywords [en]
Flexible Disassembly, End of Life Batteries, Flexible Automation, Data Extraction, Reverse Engineering
National Category
Other Materials Engineering Robotics
Identifiers
URN: urn:nbn:se:hv:diva-18862Local ID: EXC915OAI: oai:DiVA.org:hv-18862DiVA, id: diva2:1681044
Subject / course
Robotics
Educational program
Master i robotik och automation
Supervisors
Examiners
Available from: 2022-08-22 Created: 2022-07-05 Last updated: 2022-08-22Bibliographically approved

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