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The rapid expansion of the global electric vehicle industry has presented significant challenges in the management of end-of-life power batteries. Retired power batteries contain valuable resources, such as lithium,
A Knowledge Graph Based Disassembly Sequence Planning For End-of-Life Power Battery The accurate and efficient intelligent planning of disassembly sequences plays a crucial role in ensuring the high-quality recycling of end-of-life power batteries.
Selecting the correct high-voltage battery involves considering several factors: Energy and Power Requirements: Determine the application"s energy and power needs to ensure the chosen
To efficiently disassemble power batteries, a human-robot collaboration model to minimize the completion time is developed by integrating optimization problems containing three strongly coupled sub-problems at disassembly stages: the scheduling sequence of several batteries with varying degrees of damage, the disassembly procedure of the internal battery
This topic is based on RobotStudio virtual simulation platform to build a decommissioned battery pack simulation disassembly workstation, which consists of an ABB simulation robot, a conveyor platform, a SolidWorks three-dimensional modelling platform, a programmable logic controller (PLC) and other peripheral equipment [].The workstation is
In order to effectively implement the recycling process without impacting the human health robotic disassembly is a must which can be achieved only when the battery designs and modules of
Lithium-ion batteries are major drivers to decarbonize road traffic and electric power systems. With the rising number of electric vehicles comes an increasing number of lithium-ion batteries reaching their end of use. After their usage, several strategies, e.g., reuse, repurposing, remanufacturing, or material recycling can be applied. In this context,
Disassembly of a square energy storage battery new energy vehicles, as it provides the main power source for the transmission system. Traditional remanufacturing is characterized by disassembly of a core up to an optimal depth of disassembly and by the replacement of some parts in order to achieve the specifications and reliability of the original
A typical static scenario is an energy storage station to provide the energy storage for the power generation, such as charging stations, communication base stations, battery disassembly plays
We examine the optimal disassembly sequence for end-of-life power batteries and present a disassembly information model that captures the knowledge and information
The main contributions of this study are as follows: (1) establish a prototype for the cell-level disassembly model of the battery modules; (2) propose a man-machine hybrid mode for disassembling hazardous and complex parts; (3) improve the parts priority diagram (IPPD) to reflect the AND/OR relationship of battery components; (4) plan disassembly sequence of
Various studies show that electrification, integrated into a circular economy, is crucial to reach sustainable mobility solutions. In this context, the circular use of electric
An energy-storage system comprised of lithium-ion battery modules is considered to be a core component of new energy vehicles, as it provides the main power source for the transmission
Energy storage battery disassembly method Chapter16 Energy Storage Performance Testing . (EVs) globally, a significant volume of waste power battery modules (WPBM) will be generated accordingly, posing challenges for their disposal. An intelligent scrap power battery disassembly sequence planning method, integrated with operational risk
To schedule the disassembly operations of ELV batteries more rationally and further promote their disassembly quality and efficiency, this paper proposes a dual-objective
Despite the importance of battery pack disassembly in the recovery of battery materials, information on pack disassembly processes and associated costs are still scarce in the current literature. Alfaro-Algaba et al. offer a step-by-step manual disassembly process of the Audi A3 Sportback e-tron Hybrid, along with a model for
batteries (EOL-LIBs) with different decommissioning conditions, this research proposes a generating human–robot collaborative disassembly sequences for these batteries based on KGs. 1) To address the underutilization of knowledge and the diffi-culty in sequence planning resulting from the heterogeneous
Over the next decade, demand for electric cars is expected to grow rapidly. This will initially lead to an increase in demand for raw materials for battery production and, in the long term, to a large quantity of old batteries that will have to be disposed of .At the end of a lithium-ion battery''s life cycle, the question of optimal disposal arises.
Renewable energy is the future of energy and increasingly its present, too. But because renewable energy is intermittent – the wind blows when it blows; solar panels collect more energy at some times more than others – renewable energy equipment like energy storage systems also has a huge role to play in decarbonising the electrical grid.
DOI: 10.1007/s40684-023-00568-7 Corpus ID: 263680763; A Knowledge Graph Based Disassembly Sequence Planning For End-of-Life Power Battery @article{Wu2023AKG, title={A Knowledge Graph Based Disassembly Sequence Planning For End-of-Life Power Battery}, author={Hao Wu and Zhigang Jiang and Shuo Zhu and Hua Zhang}, journal={International
2.2.1 Battery disassembly. The first step of battery disassembly is to remove the battery pack from the EV, which requires the use of a trailer to lift the drive wheels of the vehicle and drag it to the operating station at a slow
Making portable power tools with Ni-MH batteries instead of primary alkaline and Ni-Cd batteries, creating emergency lighting and UPS systems instead of lead-acid batteries, and more recently integrating energy storage with renewable energy sources like solar and wind power are all examples of applications for Ni-MH batteries . The benefits of using Ni-MH
The Architecture of Battery Energy Storage Systems. Before discussing battery energy storage system (BESS) architecture and battery types, we must first focus on the most common terminology used in this field. posing challenges for their disposal. An intelligent scrap power battery disassembly sequence planning method, integrated with
Disassembly planning for EV batteries encompasses several critical issues: creating an accurate representation of the product, devising effective disassembly sequences, and identifying the best disassembly sequence and level . For recycling or remanufacturing purposes, battery packs are disassembled into modules, which are then tested individually.
The accurate and efficient intelligent planning of disassembly sequences plays a crucial role in ensuring the high-quality recycling of end-of-life power batteries. However, the solution space
the ecacy of power battery disassembly sequence plan-ning in this study, it is imperative to develop a dynamic and adaptable disassembly information model. As such, this study delves into the disassembly sequence of power bat-teries and presents an ecient planning method for power battery disassembly sequence based on knowledge graph. A
The battery charge controller: The charge controller ensures that a consistent amount of electrical power is sent to the batteries so that they are not overcharged, and so that the backup batteries do not discharge back through the system at night. In many ways, this component is like a car battery charger.
Recycling plays a crucial role in achieving a sustainable production chain for lithium-ion batteries (LIBs), as it reduces the demand for primary mineral resources and
The automotive industry is involved in a massive transformation from standard endothermic engines to electric propulsion. The core element of the Electic Vehicle (EV) is the battery pack. Battery pack
Compared with traditional electric vehicle battery disassembly sequence planning, AI-based methods can learn and continuously optimize the strategy and improve the
ly, posing challenges for their disposal. An intelligent scrap power battery disassembly sequence planning method, integrated with operational risk perception stainable and efficient energy
In order to establish a complete and open product information model to realize the automatic disassembly task planning of end-of-life automobile power battery, a disassembly task planning method
With the increase in the production of electric vehicles (EVs) globally, a significant volume of waste power battery modules (WPBM) will be generated accordingly, posing challenges for
Highlights • Establish a prototype for the cell-level disassembly model of waste battery modules. • Propose man-machine hybrid mode for disassembling hazardous and
Energy storage chip disassembly at the module-level into four steps. It starts with removing the battery casing, followed by the extraction of the battery management system (BMS), power electronics, and the thermal management system. disassembly sequence. Disassembly cannot be seen as the reverse of assembly because,first,disassembly is
To efficiently disassemble power batteries, a human-robot collaboration model to minimize the completion time is developed by integrating optimization problems containing three strongly coupled sub-problems at disassembly stages: the scheduling sequence of several batteries with varying degrees of damage, the disassembly procedure of the internal battery
Out of the 43 papers, a total of 24 address the entire disassembly process of an EVBS, either down to the level of the battery modules , the battery cells , or even down to the
Disassembly sequence planning for power batteries presents a fundamental challenge in representing the information and assembly relationships between battery components. Currently, the disassembly sequence planning for power batteries relies on a disassembly mixture graph to characterize the interconnections among battery parts.
The power battery disassembly planning is from the battery pack disassembly to the battery module, without disassembling the battery module. The disassembly process is continuous, ignoring worker and machine rest periods. There are four constraints on the model.
By categorizing the power battery and utilizing its structural information, a knowledge graph representing the disassembly information of the power battery is generated. The internal parts and assembly relations of the battery are visualized using the Neo4j software, as demonstrated in Fig. 3.
A scalable and portable power battery disassembly information model is developed by using knowledge graphs to describe the relationships of the internal parts of the power battery, and an algorithm is used to solve the graph model. The main contributions of this paper are as follows:
By employing this representation, the disassembly information graph of the power battery is constructed, which serves as input data for the algorithm. The algorithm combines topological sorting and backtracking techniques to determine the optimal disassembly sequence.
The disassembly time of a power battery consists of two parts, one is the time required to disassemble the part, and the other is the tool change time and other times, which include tool movement time, fixture fixing time, etc. Such as formula (5)