| Title |
Multi-Method Model for the Investigation of Disassembly Scenarios for Electric Vehicle Batteries |
| ID_Doc |
7562 |
| Authors |
Baazouzi, S; Grimm, J; Birke, KP |
| Title |
Multi-Method Model for the Investigation of Disassembly Scenarios for Electric Vehicle Batteries |
| Year |
2023 |
| Published |
Batteries-Basel, 9, 12 |
| DOI |
10.3390/batteries9120587 |
| 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 Keywords |
electric vehicle batteries; disassembly; disassembly scenarios; automated disassembly; self-configuring model; multi-method simulation; optimization |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001131290300001 |
| WoS Category |
Electrochemistry; Energy & Fuels; Materials Science, Multidisciplinary |
| Research Area |
Electrochemistry; Energy & Fuels; Materials Science |
| PDF |
https://www.mdpi.com/2313-0105/9/12/587/pdf?version=1702376773
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