Technoeconomic Assessment of Electric Vehicle Battery Disassembly-Challenges and Opportunities From a Robotics Perspective

Abstract

The rapid shift towards electric vehicles (EVs) demands effective end-of-life strategies for lithium-ion batteries (LIBs), necessitating examining recycling methodologies, particularly the disassembly process. This study presents a technoeconomic analysis of EV battery disassembly, focusing on incorporating robotics to address challenges and capitalize on opportunities. Based on the case study of the Mitsubishi Outlander PHEV battery pack, we identify the most labor and cost-intensive components and introduce a structured approach to evaluate automating disassembly tasks. Classifying tasks based on their automation potential, we find 57% of pack-to-module (P2M) tasks readily automatable, with an additional 24% requiring minimal human intervention. Incorporating this into an analysis of task feasibility, level of automation and robot time efficiency, we establish a roadmap towards robotizing the disassembly process based on human-robot colllaboration, demonstrating a 12.85% increase in net annual revenue and 43.75% reduction in disassembly cost with current level of task feasibility. Our findings indicate a long-term roadmap towards increasing level of automation, while surmounting feasibility of complex disassembly tasks remains an unsolved challenge.

Publication DOI: https://doi.org/10.1109/ACCESS.2024.3520414
Divisions: College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies
College of Engineering & Physical Sciences > School of Computer Science and Digital Technologies > Applied AI & Robotics
Aston University (General)
Additional Information: Copyright © 2024 The Authors. This work is licensed under a Creative Commons Attribution 4.0 License: https://creativecommons.org/licenses/by/4.0/
Uncontrolled Keywords: Circular economy,electric vehicles,lithium-ion batteries,recycling,robotic disassembly
Publication ISSN: 2169-3536
Last Modified: 02 Sep 2025 07:15
Date Deposited: 01 Sep 2025 09:57
Full Text Link:
Related URLs: https://ieeexpl ... cument/10807203 (Publisher URL)
PURE Output Type: Article
Published Date: 2024-12-19
Accepted Date: 2024-12-17
Authors: Hathaway, Jamie
Contreras, Cesar Alan
Asif, Mohammed Eesa
Stolkin, Rustam
Rastegarpanah, Alireza (ORCID Profile 0000-0003-4264-6857)

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License: Creative Commons Attribution


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