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  4. Multi-Method Model for the Investigation of Disassembly Scenarios for Electric Vehicle Batteries
 
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2023
Journal Article
Title

Multi-Method Model for the Investigation of Disassembly Scenarios for Electric Vehicle Batteries

Abstract
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.
Author(s)
Baazouzi, Sabri  
Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA  
Grimm, Julian  
Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA  
Birke, Kai Peter  
Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA  
Journal
Batteries  
Open Access
DOI
10.3390/batteries9120587
Additional link
Full text
Language
English
Fraunhofer-Institut für Produktionstechnik und Automatisierung IPA  
Keyword(s)
  • automated disassembly

  • disassembly

  • disassembly scenarios

  • electric vehicle batteries

  • multi-method simulation

  • optimization

  • self-configuring model

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