| Title |
Sustainable Battery Lifecycle: Non-Destructive Separation of Batteries and Potential Second Life Applications |
| ID_Doc |
10083 |
| Authors |
Schlögl, G; Grollitsch, S; Ellersdorfer, C; Feist, F; Kirschner, C; Ecker, J; Haas, F |
| Title |
Sustainable Battery Lifecycle: Non-Destructive Separation of Batteries and Potential Second Life Applications |
| Year |
2024 |
| Published |
Batteries-Basel, 10.0, 8 |
| DOI |
10.3390/batteries10080280 |
| Abstract |
Large quantities of battery systems will be discarded from electric vehicles in the future. Non-destructive separation of used electric vehicle (EV) traction batteries enables a second life of battery components, extraction of high value secondary materials, and reduces the environmental footprint of recycling and separation processes. In this study, the key performance indicators (KPIs) for the second life application of spent EV batteries are identified. Three battery packs are analyzed in terms of the joining techniques used-and possible separation techniques-considering only direct recycling methods. The components that can be recovered from these batteries are evaluated against the KPIs. This study shows that all the batteries analyzed allow a second life in stationary and semi-stationary electrical storage systems and marine applications when used at the pack and module levels. Two packs can be reused in electric vehicles such as forklifts. However, the feasibility of re-use in micro-mobility and consumer electronics is very limited. This study shows that technically feasible separation methods are dictated and constrained by the joining techniques used. As welding and adhesive bonding pose challenges to separation processes, future efforts should prioritize 'design for disassembly' to ensure sustainable battery life cycle management. |
| Author Keywords |
second life; sustainable battery lifecycle; resource utilization; lithium-ion batteries; electrical storage components; key performance indicators; joining methods; non-destructive separation; artificial intelligence |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001305056600001 |
| WoS Category |
Electrochemistry; Energy & Fuels; Materials Science, Multidisciplinary |
| Research Area |
Electrochemistry; Energy & Fuels; Materials Science |
| PDF |
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