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Extraction of valuable feature data from 3D Digital model to provide input data for automated EV battery disassembling system
Högskolan Väst, Institutionen för ingenjörsvetenskap.
2022 (Engelska)Självständigt arbete på avancerad nivå (masterexamen), 20 poäng / 30 hpStudentuppsats (Examensarbete)
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.

Ort, förlag, år, upplaga, sidor
2022. , s. 38
Nyckelord [en]
Flexible Disassembly, End of Life Batteries, Flexible Automation, Data Extraction, Reverse Engineering
Nationell ämneskategori
Annan materialteknik Robotteknik och automation
Identifikatorer
URN: urn:nbn:se:hv:diva-18862Lokalt ID: EXC915OAI: oai:DiVA.org:hv-18862DiVA, id: diva2:1681044
Ämne / kurs
Robotteknik
Utbildningsprogram
Master i robotik och automation
Handledare
Examinatorer
Tillgänglig från: 2022-08-22 Skapad: 2022-07-05 Senast uppdaterad: 2022-08-22Bibliografiskt granskad

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Totalt: 247 träffar
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