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Battery Knowledge Graph

By examining the disassembly information related to diverse categories and types of power batteries, a knowledge graph is employed to depict the intricate details of …

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What is a Knowledge Graph-based disassembly information model of a power battery?

A knowledge graph-based disassembly information model of a power battery is constructed to describe the internal parts of the power battery and their connection relations. The model is proposed for updateability and scalability to handle dynamic power battery disassembly information.

Can a Knowledge Graph-based data integration framework be used in a battery use case?

Results: Using the Framework in a Battery Use Case In this section, we describe the battery use case to demonstrate and validate the feasibility and applicability of the proposed knowledge graph-based data integration framework ( Section 2 ).

Can knowledge graphs be used to plan disassembly sequences for power batteries?

The effective utilization of knowledge graphs in planning disassembly sequences for power batteries relies on the ability to express and update assembly relations and disassembly information promptly using graph frameworks, thereby optimizing the disassembly sequence.

What is a knowledge graph?

By examining the disassembly information related to diverse categories and types of power batteries, a knowledge graph is employed to depict the intricate details of battery components and their assembly relationships.

What is knowledge graph in data science & machine learning?

The knowledge graph serves as a significant component to simplify the extraction, enrichment, exploration, and generation of data in this framework. We have developed it according to the human-centered design, and various roles of the data science and machine learning life cycle can use it.

How does graph theory improve power battery sequence planning?

Subsequently, the graph model is effectively solved using advanced graph theory algorithms, leading to the derivation of an optimal disassembly sequence. This innovative approach significantly enhances the efficiency of end-of-life power battery sequence planning, enabling streamlined and effective decision-making processes.

A Knowledge Graph Based Disassembly Sequence Planning For

By examining the disassembly information related to diverse categories and types of power batteries, a knowledge graph is employed to depict the intricate details of …

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Full knowledge graph

Full knowledge graph [OSWd00e7453f1f34a6e94e63c2664fb7776] ID: OSWd00e7453f1f34a6e94e63c2664fb7776: UUID: d00e7453-f1f3-4a6e-94e6-3c2664fb7776: Label

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A Knowledge Graph-Based Data Integration Framework Applied to Battery …

Thus, to address these challenges, we propose a knowledge graph-based data integration framework for simplifying access and analysis of data accumulated through the operations of vehicles and related transportation systems. The proposed framework aims to enable the effortless analysis and navigation of integrated knowledge and the creation of ...

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Knowledge Graph for Disassembly of Electric Vehicle Batteries

EV battery knowledge graphs can provide detailed structural information to assist operators in understanding the layout and composition of batteries. Planning the …

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Knowledge Graph Construction of End-of-Life Electric Vehicle Batteries …

EV battery knowledge graphs can provide detailed structural information to assist operators in understanding the layout and composition of batteries. In addition, planning the disassembly sequence using knowledge graphs can facilitate the robotic disassembly of …

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Knowledge Graph for Disassembly of Electric Vehicle Batteries

EV battery knowledge graphs can provide detailed structural information to assist operators in understanding the layout and composition of batteries. Planning the disassembly sequence using knowledge graphs can facilitate the robotic disassembly of …

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Enabling Online Search and Fault Inference for Batteries Based on ...

In this paper, a method is proposed to construct the battery fault knowledge graph which supports online knowledge query and fault inference. Reliability models for battery …

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A Knowledge Graph-Based Data Integration …

Thus, to address these challenges, we propose a knowledge graph-based data integration framework for simplifying access and analysis of …

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A knowledge graph-based data integration framework applied to …

The proposed framework aims to enable the effortless analysis and navigation of integrated knowledge and the creation of additional data sets from this knowledge to use during the …

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A knowledge graph-based data integration framework applied to battery …

The proposed framework aims to enable the effortless analysis and navigation of integrated knowledge and the creation of additional data sets from this knowledge to use during the application of data analysis and machine learning. The knowledge graph serves as a significant component to simplify the extraction, enrichment, exploration, and ...

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Battery Knowledge Base

The Battery Knowledge Base is a platform for the battery community to share knowledge about battery research, innovation, and other activities. Like a "Wikipedia for the battery world", this …

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A Knowledge Graph-Based Data Integration Framework Applied to …

Thus, to address these challenges, we propose a knowledge graph-based data integration framework for simplifying access and analysis of data accumulated through the operations of …

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A Knowledge Graph Based Disassembly Sequence Planning For

By examining the disassembly information related to diverse categories and types of power batteries, a knowledge graph is employed to depict the intricate details of battery components and their assembly relationships. The dynamic attributes of end-of-life power battery disassembly information are meticulously processed through the knowledge ...

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A Knowledge Graph-Based Data Integration …

Finally, we present a battery use case to show the feasibility and benefits of the proposed framework. The use case illustrates the usage of the framework to extract knowledge from raw data,...

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Knowledge Graph Construction of End-of-Life Electric Vehicle …

EV battery knowledge graphs can provide detailed structural information to assist operators in understanding the layout and composition of batteries. In addition, planning …

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Automating Materials Exploration with a Semantic Knowledge Graph …

Request PDF | Automating Materials Exploration with a Semantic Knowledge Graph for Li‐Ion Battery Cathodes | The recent marriage of materials science and artificial intelligence has created the ...

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Enabling Online Search and Fault Inference for Batteries Based on ...

In this paper, a method is proposed to construct the battery fault knowledge graph which supports online knowledge query and fault inference. Reliability models for battery undervoltage...

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Enabling Online Search and Fault Inference for Batteries Based on ...

In this paper, a method is proposed to construct the battery fault knowledge graph which supports online knowledge query and fault inference. Reliability models for battery undervoltage ...

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Automating Materials Exploration with a Semantic Knowledge Graph …

DOI: 10.1002/adfm.202201437 Corpus ID: 247830484; Automating Materials Exploration with a Semantic Knowledge Graph for Li‐Ion Battery Cathodes @article{Nie2022AutomatingME, title={Automating Materials Exploration with a Semantic Knowledge Graph for Li‐Ion Battery Cathodes}, author={Zhiwei Nie and Shisheng Zheng and Yuanji Liu and Zhefeng Chen and …

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A Knowledge Graph-Based Data Integration Framework Applied to Battery …

A Knowledge Graph-Based Data Integration Framework Applied to Battery Data Management Tahir Emre Kalaycı *, Bor Bricelj, Marko Lah, Franz Pichler, Matthias K. Scharrer and Jelena Rubeša-Zrim

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3D Scanning

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A Knowledge Graph-Based Data Integration …

The knowledge graph serves as a significant component to simplify the extraction, enrichment, exploration, and generation of data in this framework. We have developed it according to the human ...

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Battery Knowledge Base

The Battery Knowledge Base is a platform for the battery community to share knowledge about battery research, innovation, and other activities. Like a "Wikipedia for the battery world", this knowledge base structures all information as part of a vast battery knowledge graph that helps humans and machines discover links between content!

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A Knowledge Graph-Based Data Integration Framework Applied to Battery …

Thus, to address these challenges, we propose a knowledge graph-based data integration framework for simplifying access and analysis of data accumulated through the operations of vehicles and...

Learn More

Enabling Online Search and Fault Inference for …

In this paper, a method is proposed to construct the battery fault knowledge graph which supports online knowledge query and fault inference. Reliability models for battery undervoltage...

Learn More

A Knowledge Graph-Based Data Integration Framework Applied to Battery …

Thus, to address these challenges, we propose a knowledge graph-based data integration framework for simplifying access and analysis of data accumulated through the operations of vehicles and related transportation systems. The proposed framework aims to enable the effortless analysis and navigation of integrated knowledge and the creation of additional data …

Learn More

Material Property Prediction with Joint Reasoning based on Large ...

This paper introduces a lithium battery material property prediction method based on joint reasoning with large language models and knowledge graphs (JRLKG). Knowledge relationships are extracted from extensive literature to construct a knowledge graph encompassing material structure, properties, and research methods. By assessing material ...

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A Knowledge Graph-Based Data Integration Framework Applied to Battery ...

Finally, we present a battery use case to show the feasibility and benefits of the proposed framework. The use case illustrates the usage of the framework to extract knowledge from raw data,...

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Enabling Online Search and Fault Inference for Batteries Based on ...

In this paper, a method is proposed to construct the battery fault knowledge graph which supports online knowledge query and fault inference. Reliability models for battery undervoltage, inconsistency, and capacity loss are built based on cloud data, and are deployed and continuously updated in the cloud platform to accommodate the migration of ...

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User

Sie verstehen, dass diese Daten online auf dieser Webseite als Teil des Inhalts der Battery Knowledge Base verfügbar sind. Es wird daher empfohlen, Informationen, die öffentlich zugänglich sind oder die Sie ausdrücklich öffentlich zugänglich machen wollen, weiterzugeben. Insofern nicht hier angegeben und damit öffentlich zugänglich, werden Ihre persönlichen …

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At EK Solar Solutions, we provide a variety of solar energy storage solutions designed to help you save money, achieve energy independence, and reduce your environmental impact. Discover how our solutions can make a difference in your life or business.

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Energy Independence

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