Bitte benutzen Sie diese Kennung, um auf die Ressource zu verweisen: http://dx.doi.org/10.18419/opus-14363
Autor(en): Baazouzi, Sabri
Grimm, Julian
Birke, Kai Peter
Titel: Multi-method model for the investigation of disassembly scenarios for electric vehicle batteries
Erscheinungsdatum: 2023
Dokumentart: Zeitschriftenartikel
Seiten: 22
Erschienen in: Batteries 9 (2023), No. 587
URI: http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-143820
http://elib.uni-stuttgart.de/handle/11682/14382
http://dx.doi.org/10.18419/opus-14363
ISSN: 2313-0105
Zusammenfassung: Disassembly is a pivotal technology to enable the circularity of electric vehicle batteries through the application of circular economy strategies to extend the life cycle of battery components through solutions such as remanufacturng, repurposing, and efficient recycling, ultimately reintegrating gained materials into the production of new battery systems. This paper aims to develop a multi-method self-configuring simulation model to investigate disassembly scenarios, taking into account battery design as well as the configuration and layout of the disassembly station. We demonstrate the developed model in a case study using a Mercedes-Benz battery and the automated disassembly station of the DeMoBat project at Fraunhofer IPA. Furthermore, we introduce two disassembly scenarios: component-oriented and accessibility-oriented disassembly. These scenarios are compared using the simulation model to determine several indicators, including the frequency of tool change, the number and distribution of robot routes, tool utilization, and disassembly time.
Enthalten in den Sammlungen:05 Fakultät Informatik, Elektrotechnik und Informationstechnik

Dateien zu dieser Ressource:
Datei Beschreibung GrößeFormat 
batteries-09-00587.pdf3,51 MBAdobe PDFÖffnen/Anzeigen


Diese Ressource wurde unter folgender Copyright-Bestimmung veröffentlicht: Lizenz von Creative Commons Creative Commons