This paper presents a system that integrates AR and DT technologies for the remote control of industrial robots for the disassembly of EoL EV batteries. The core of the
Get a quoteTogether with an assessment of the potential degree of automation in the context of downstream processes (reuse, repair, remanufacturing, and recycling), this results in a variety of streams for future
Get a quoteBased 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
Get a quoteThis paper presents a system that integrates AR and DT technologies for the remote control of industrial robots for the disassembly of EoL EV batteries. The core of the system lies in creating a digital replica of a physical robot within an AR environment and synchronising it in real time with the state of the physical robot. The AR
Get a quoteBased 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
Get a quoteAnalysis of emerging concepts focusing on robotised Electric Vehicle Battery (EVB) disassembly. Gaps and challenges of robotised disassembly are reviewed, and future
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Get a quoteAutomated disassembly is key to efficient, high-value recycling. MTC developed and demonstrated a machine vision led, autonomous task planner deployed on an industrial robot for the automatic detection and unfastening of bolts on complex assemblies, like battery packs.
Get a quoteThis paper offers insights on how robotics can be applied to EV battery disassembly processes with a focus on two key aspects: automation and flexibility. Many robotic technologies can offer solutions to improve these aspects of EV battery disassembly. Nonetheless, achieving comprehensive autonomy in EV battery disassembly using
Get a quoteIn this paper, we propose a Battery Disassembly AMMR (BEAM-1) system based on NeuralSymbolic AI. It detects the environmental state by leveraging a combination of multi-sensors and neural predicates and then translates this information into a quasi-symbolic space.
Get a quoteThis comprehensive analysis examines recent advancements in battery technology for electric vehicles, encompassing both lithium-ion and beyond lithium-ion technologies. The analysis begins by
Get a quoteWhile much of the focus around EV tends to be on battery recycling, EV battery repair technology will play a decisive role on this journey and represents a more environmentally friendly option. Recent advancements
Get a quoteAnalysis of emerging concepts focusing on robotised Electric Vehicle Battery (EVB) disassembly. Gaps and challenges of robotised disassembly are reviewed, and future perspectives are presented. Human–robot collaboration in EVB processing is highlighted. The potential of artificial intelligence in improving disassembly automation is discussed.
Get a quoteThis work examines the key advances and research opportunities of emerging intelligent technologies for EV-LIB disassembly, and recycling and reuse of industrial products
Get a quoteAI-driven methods for planning battery disassembly sequences are examined, revealing potential efficiency gains and cost reductions. AI-driven disassembly operations are discussed, highlighting how AI can streamline
Get a quoteThis work examines the key advances and research opportunities of emerging intelligent technologies for EV-LIB disassembly, and recycling and reuse of industrial products in general. We show that AI could benefit the whole disassembly process, particularly addressing the uncertainty and safety issues. Currently, EV-LIB state prognostics
Get a quoteIn this paper, we propose a Battery Disassembly AMMR (BEAM-1) system based on NeuralSymbolic AI. It detects the environmental state by leveraging a combination of multi
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Get a quoteThere is extensive literature of potential robotics-related technologies in EV battery disassembly. These technologies primarily originate from the fields of machine vision, mobile robotics, sensor design, manipulator design, HRC, and robot manipulation. The aim of these techniques is to improve the flexibility and automation of robotic
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Get a quoteAI-driven methods for planning battery disassembly sequences are examined, revealing potential efficiency gains and cost reductions. AI-driven disassembly operations are discussed, highlighting how AI can streamline processes, improve safety, and reduce environmental hazards.
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Get a quoteThis paper offers insights on how robotics can be applied to EV battery disassembly processes with a focus on two key aspects: automation and flexibility. Many
Get a quoteTogether with an assessment of the potential degree of automation in the context of downstream processes (reuse, repair, remanufacturing, and recycling), this results in a variety of streams for future research in the field of automated battery disassembly. The core aspect in this context is data availability consisting of product and component
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Get a quoteThere is extensive literature of potential robotics-related technologies in EV battery disassembly. These technologies primarily originate from the fields of machine vision,
Get a quoteThis large growth in battery returns will also have a noticeable impact on processes such as battery disassembly. The purpose of this paper is, therefore, to examine the challenges of the battery disassembly process in relation to the required increase in the degree of automation.
It is well known that the current void of battery design regulation created a heterogeneous ensemble of design solutions that represent a challenge to automatic disassembly . New EU battery regulation defines requirements on sustainability, safety, labelling and information on the batteries marketed and put on service in the EU.
However, the current lack of standardisation in design remains a significant barrier to automating battery disassembly . Additionally, the uncertain conditions of end-of-life or damaged EVBs add to the complexity of executing the disassembly process effectively.
In response to this pressing issue, this review presents a comprehensive analysis of the role of artificial intelligence (AI) in improving the disassembly processes for EV batteries, which is integral to the practical echelon utilization and recycling process.
The obligation for the manufacturers to provide detailed information on the disassembly sequence, fastening methods, and SoX enables overcoming the lack of information from the original equipment manufacturers (OEMs) regarding battery disassembly .
The survey of experts along the entire battery value chain presented in this study revealed an average potential level of process automation of 74.2%, which translates into about three out of four steps, particularly in the case of disassembly for downstream recycling.
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