Challenges in the Automated Disassembly Process of Electric Vehicle Battery Packs
2023 (English)In: IEEE Int. Conf. Emerging Technol. Factory Autom., ETFA, Institute of Electrical and Electronics Engineers Inc. , 2023Conference paper, Published paper (Refereed)
Abstract [en]
The surge in the development and adoption of Electric Vehicles (EVs) globally is a trend many countries are paying close attention to. This inevitably means that a significant number of EV batteries will soon reach their End-of-Life (EoL). This looming issue reveals a notable challenge: there's currently a lack of sustainable strategies for managing Lithium-ion Batteries (LiBs) when they reach their EoL stage. The process of disassembling these battery packs is challenging due to their intricate design, involving several different materials and components integrated tightly for performance and safety. Consequently, effective disassembly and subsequent recycling procedures require highly specialized methods and equipment, and involve significant safety and health risks. Moreover, existing recycling technologies often fail to recover all valuable and potentially hazardous materials, leading to both economic and environmental loss. This paper provides an overview and analysis of possible challenges arising in the domain of automated battery disassembly and recycling of EV batteries that reached their EoL. We provide insight into the disassembly process as well as optimization of the disassembly sequence with the goal of minimizing the overall cost and environmental footprint.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2023.
Keywords [en]
Automated Battery Disassem-bly, Battery Recycling, Electric Vehicles, Battery Pack, Electronic Waste, Environmental technology, Health risks, Lithium-ion batteries, Disassembly process, Electric vehicle batteries, End of lives, Life stages, Performance, Safety and healths, Sustainable strategies, Recycling
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-64708DOI: 10.1109/ETFA54631.2023.10275389Scopus ID: 2-s2.0-85175453751ISBN: 9798350339918 (print)OAI: oai:DiVA.org:mdh-64708DiVA, id: diva2:1810908
Conference
IEEE International Conference on Emerging Technologies and Factory Automation, ETFA
2023-11-092023-11-092023-11-09Bibliographically approved