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Journal of Manufacturing Systems
Article . 2024 . Peer-reviewed
License: CC BY
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Robotised disassembly of electric vehicle batteries: A systematic literature review

Authors: Tero Kaarlela; Enrico Villagrossi; Alireza Rastegarpanah; Alberto San-Miguel-Tello; Tomi Pitkäaho;

Robotised disassembly of electric vehicle batteries: A systematic literature review

Abstract

This review examines the robotic disassembly of electric vehicle batteries, a critical concern as the adoption of electric vehicles increases worldwide. This work provides a comprehensive overview of the current state of the art in robotic disassembly and outlines future directions for research and policy in this essential area. The study highlights the urgent need for sustainable management practices to mitigate the environmental impact of end-of-life batteries. It evaluates current robotic technologies, strategies for human–robot collaboration, and the role of artificial intelligence in enhancing the efficiency and safety of these processes. The investigation identifies significant challenges, including the absence of standardised designs and the inherent risks of handling batteries. The feasibility of adopting design-for-disassembly principles is explored as a way to improve recycling and repurposing efforts. The review suggests avenues for future research, focusing on developing advanced robotics solutions and establishing supportive regulatory frameworks. These efforts aim to foster sustainable practices in the lifecycle management of electric vehicle batteries, contributing to the broader goal of environmental sustainability in the electric vehicle and battery industries. Previous reviews generally focus on recycling electric vehicle battery chemistry and materials; this review complements previous research by focusing on robotised disassembly.

Keywords

Electric energy, Electric vehicles, Electric batteries

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    6
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Average
Top 10%
Related to Research communities
Energy Research