It provides you with data that can be refined with automated technology or other manipulations. Now that the CAD model is complete, you can start 3D printing or manufacturing. The process can be summarized as – The product or object being reverse engineered is studied, and information is extracted. This information is converted into a model. Each step of the
This study presents the conceptualization of a LIB module disassembly process chain which aims to elevate the depth of disassembly of LIB during early recycling stages. A
"Addressing e-waste, emerging chemistries like sodium-ion batteries, and varying battery types is crucial." Dolwani sees the next decade as pivotal for India''s e-waste and battery recycling sector, emphasising the need for flexibility and evolution. "With emerging chemistries like high nickel batteries and LMFP, adaptability is key."
To cope with the increasing volume of end-of-life (EoL) EV batteries, robots have been proposed for battery disassembly. However, automation of disassembly is difficult
3) Commence Disassembly . The initiation of disassembly in Reverse Engineering marks the crucial moment when analysts embark on unravelling the inner workings of a system. With precision and methodical expertise,
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.
Intelligent teleoperation is a promising technology for handling disassembly tasks in hazardous or irregular environments. Telerobotic manipulation has contributed to many applications such as underwater tasks, space, and bomb disposal. Recently, increasing attention has been on intelligent surgical robots, showing convincing evidence of teleoperation''s
In the automotive traction battery recycling process, the disassembly step is crucial for reusing components and recovering recyclates with high purity. Therefore, this paper will comprehensively analyze the different disassembly technologies for end-of-life electric vehicle batteries on the basis of a systematic literature review.
This work provides an extensive overview of existing technologies in EV battery disassembly and potential robotics. The technologies investigated in this paper focus on how robots can enhance automation and flexibility. This paper summarises the characteristics and applicability of the potential technologies and highlights promising
In 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.
Editor''s note: This is part five of a five-part feature series on global battery supply chains. The reporting borrows from a new season of The Big Switch called "The Great Battery Boom," produced by Columbia''s Center on Global Energy Policy and Latitude Studios. Listen to the final episode below, or find the show anywhere you get your podcasts.
This 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
This paper analyses the use of robotics for EVs'' battery pack disassembly to enable the extraction of the battery modules preserving their integrity for further reuse or recycling.
The rapid growth of the electric vehicle (EV) industry has necessitated advancements in battery technology to enhance vehicle performance, safety, and overall driving experience.
This paper proposes an optimal strategy of disassembly process in electric vehicle battery based on human-machine collaboration re-manufacturing, which combines with artificial intelligence
The rapidly increasing adoption of electric vehicles (EVs) globally underscores the urgent need for effective management strategies for end-of-life (EOL) EV batteries. Efficient EOL management is crucial in
BYD CTP (Cell to Pack) technology makes the difference, with the Blade Battery increasing space utilization by 50%. This improves energy density and allows more batteries in a compact space, with a longer driving range. The ''honeycomb-like aluminum'' design of the Blade Battery also provides greater rigidity and safety. The BYD TANG, BYD HAN and BYD ATTO 3
To cope with the increasing volume of end-of-life (EoL) EV batteries, robots have been proposed for battery disassembly. However, automation of disassembly is difficult because of the variety and complexity of disassembly tasks. This paper offers insights on how robotics can be applied to EV battery disassembly processes with a focus
This study presents the conceptualization of a LIB module disassembly process chain which aims to elevate the depth of disassembly of LIB during early recycling stages. A reverse engineering approach is used to recover individual cells from two battery modules of one specific automotive manufacturer by removing their casing through milling and
Reverse engineering is a meticulous process of dissecting and analyzing a product, system, or technology to understand its components, functions, and underlying mechanisms. It''s commonly employed in various fields such as software development, engineering, manufacturing, and even cybersecurity. The goal is to grasp how something
This paper analyses the use of robotics for EVs'' battery pack disassembly to enable the extraction of the battery modules preserving their integrity for further reuse or recycling.
Even though decision-support models have been developed for different decisions in remanufacturing and reverse logistics considering new technology integration, e.g., additive manufacturing and human–robot collaboration, they are mainly focused on a single problem in either a remanufacturing process, e.g., process planning, inventory management,
In the automotive traction battery recycling process, the disassembly step is crucial for reusing components and recovering recyclates with high purity. Therefore, this
In 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
This work provides an extensive overview of existing technologies in EV battery disassembly and potential robotics. The technologies investigated in this paper focus on how robots can enhance automation and flexibility. This paper summarises the characteristics and
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
Disassembly, a key process in repair, remanufacturing recycling, is usually a manual task. Due to the growing number of end-of-life EV batteries, robots have been proposed to be used in EV
This paper proposes an optimal strategy of disassembly process in electric vehicle battery based on human-machine collaboration re-manufacturing, which combines with artificial intelligence algorithms to complete the identification and positioning of operational targets, optimize the sequence of man-machine operation tasks, and improves the
This paper gives an overview of the current approaches adopted in EV battery disassembly, and robotic techniques that have the potential to be employed in battery disassembly. We propose a classification of EV battery disassembly actions and identify key future research and innovation directions. References is not available for this document.
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.
Robotic disassembly involves several research topics such as Task and Motion Planning (TAMP), robot tool design, and robot sensor-guided motion. Battery pack disassembly is a part of this field of applications as a practical approach to preserving operators’ safety and health by coping with the high variability of products [38, 64].
The review concludes with insights into the future integration of electric vehicle battery (EVB) recycling and disassembly, emphasizing the possibility of battery swapping, design for disassembly, and the optimization of charging to prolong battery life and enhance recycling efficiency.
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 analysis highlights that a complete automatic disassembly remains difficult, while human-robot collaborative disassembly guarantees high flexibility and productivity. The paper introduces guidelines for designing a robotic cell to disassemble a battery pack with the support of an operator.
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