In Section 4, the analysis and assessment of EV battery recycling is presented, while Section 5 presents a comparison of the assessment of different battery types. Concluding remarks are presented in the last section. 2. Previous studies on the disassembly of EV batteries . This section reviews recent studies on the analysis and assessment of automation potentials
Taking a deeper analysis, Fig. 5 shows the companies in Europe currently working at some stage of the battery value chain from the moment the battery is no longer in the vehicle. It can be observed that all the aforementioned key activities are accessible in Europe, but their distribution across the territory is uneven. For instance, battery dismantling companies
This study reviews the state-of-the-art literature on Post-Mortem analysis of Li-ion cells, including disassembly methodology as well as physico-chemical characterization methods for battery...
This study reviews the state-of-the-art literature on Post-Mortem analysis of Li-ion cells, including disassembly methodology as well as physico-chemical characterization methods for battery...
Analysis of emerging concepts focusing on robotised Electric Vehicle Battery (EVB) disassembly. Gaps and challenges of robotised disassembly are reviewed, and future
This study presents a technoeconomic analysis of EV battery disassembly, focusing on incorporating robotics to address challenges and capitalize on opportunities.
Analysis 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.
Comparing commercial battery packs, the Tesla Model S emerges as the most profitable, having low disassembly costs and high revenues for its cobalt. In-country recycling is suggested, to lower
For each of these battery packs, a detailed disassembly process from pack to cell level is established. Included in the disassembly analysis are the number of screws, welded parts and the number of parts that need to be removed by hand such as wire harnesses, hoses and clips. In addition, the number of tool changes needed throughout the
This paper discusses the future possibility of echelon utilization and disassembly in retired EV battery recycling from disassembly optimization and human–robot collaboration, facing uncertain disassembly and echelon utilization.
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
Lithium-ion battery module-to-cell: disassembly and material analysis . Lithium-ion batteries (LIBs) are one of the most popular energy storage systems. Due to their excellent performance, they are widely used in portable consumer electronics and electric vehicles (EVs). The ever-increasing requirements for global carbon dioxide CO2 emission
DOI: 10.3390/en15155324 Corpus ID: 251000012; Field Study and Multimethod Analysis of an EV Battery System Disassembly @article{Rosenberg2022FieldSA, title={Field Study and Multimethod Analysis of an EV Battery System Disassembly}, author={Sonja Rosenberg and Sandra Huster and Sabri Baazouzi and Simon Gl{"o}ser-Chahoud and Anwar
Download scientific diagram | Schematic diagram describing our procedure for the disassembly of a Li-ion battery. Steps marked in blue are our procedure steps for each stage of the cell teardown.
AI-driven methods for planning battery disassembly sequences are examined, revealing potential efficiency gains and cost reductions. AI-driven disassembly operations are
This paper presents a methodology for battery disassembly that considers key factors based on the nature and purpose of post-disassembly analysis. The methodology
This paper presents a methodology for battery disassembly that considers key factors based on the nature and purpose of post-disassembly analysis. The methodology involves upfront consideration of analysis paths that will be conducted on the exposed internal components to preserve the state (operational or failed) of the battery. The
In order to lever untapped potential of the battery system''s performance and to prolong its lifetime advanced models, algorithms and operational strategies have to be
Similarly, during the disassembly phase of battery modules, cutting operations are used to separate battery cells bonded together with adhesives and electrical connectors between battery cells connected through welding methods [102]. In the process of disassembling battery cells, various components, including cathodes, anodes, compounds, separators, etc.,
The global decarbonization will have to be driven by the e-mobility sector to achieve the climate goals. End-of-life battery packs therefore need to be recycled efficiently and sustainably so that a cost-competitive circular economy can be adopted.
AI-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.
With the growing requirements of retired electric vehicles (EVs), the recycling of EV batteries is being paid more and more attention to regarding its disassembly and echelon utilization to reach highly efficient resource
Disassembly of the entire battery pack is a significantly complex process. There are several methods for planning an optimal disassembly sequence for obsolete LIBs. Most approaches implement a case study with manual disassembly of a battery pack to analyze and determine an efficient disassembly process.
This paper discusses the future possibility of echelon utilization and disassembly in retired EV battery recycling from disassembly optimization and human–robot collaboration, facing uncertain disassembly and echelon
A key challenge in lithium-ion battery research is the need for more transparency regarding the cell design and production processes of battery as well as vehicle manufacturers. This study comprehensively benchmarks a prismatic hardcase LFP cell that was dismounted from a state-of-the-art Tesla Model 3 (Standard Range). The process steps and
A key challenge in lithium-ion battery research is the need for more transparency regarding the cell design and production processes of battery as well as vehicle
Disassembly of the entire battery pack is a significantly complex process. There are several methods for planning an optimal disassembly sequence for obsolete LIBs. Most approaches implement a case study with
AI-driven methods for planning battery disassembly sequences are examined, revealing potential efficiency gains and cost reductions. AI-driven disassembly operations are discussed,...
In order to lever untapped potential of the battery system''s performance and to prolong its lifetime advanced models, algorithms and operational strategies have to be designed, which require tear-down analysis of LIBs to gather in
The design of the disassembly system must consider the analysis of potentially explosive atmospheres (ATEX) 1 of the area around the battery pack and, if necessary, adopt tools enabled to work in the corresponding ATEX zone.
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.
Many scholars have studied the optimization of disassembly sequence, but most of the disassembly modeling cannot dynamically adapt to the uncertainties in the disassembly process; however, there are a lot of uncertainties in battery disassembly.
Nowadays, the mainstream battery disassembly still uses a semi-automatic disassembly method: the robot implements some simple and repetitive disassembly actions facing with uncertain product quality and category, such as screw tightening [ 30 ].
According to the degree of automation, the battery disassembly process can be divided into several categories, namely manual disassembly, semi-automatic disassembly, and fully automated disassembly. Automated disassembly has gradually become a significant trend since there are certain safety risks in the disassembly process.
Disassembly tests were executed with the demonstrator. Findings proved that semi-automated disassembly of battery systems is feasible. They have developed a concept, i.e., a workstation for more flexibility, productivity, and safety in the disassembly of LIBs, at the module level.
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