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

Author

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  • Tahir Emre Kalaycı

    (Virtual Vehicle Research GmbH, Inffeldgasse 21A, 8010 Graz, Austria)

  • Bor Bricelj

    (Virtual Vehicle Research GmbH, Inffeldgasse 21A, 8010 Graz, Austria)

  • Marko Lah

    (Virtual Vehicle Research GmbH, Inffeldgasse 21A, 8010 Graz, Austria)

  • Franz Pichler

    (Virtual Vehicle Research GmbH, Inffeldgasse 21A, 8010 Graz, Austria)

  • Matthias K. Scharrer

    (Virtual Vehicle Research GmbH, Inffeldgasse 21A, 8010 Graz, Austria)

  • Jelena Rubeša-Zrim

    (Virtual Vehicle Research GmbH, Inffeldgasse 21A, 8010 Graz, Austria)

Abstract

Today, the automotive and transportation sector is undergoing a transformation process to meet the requirements of sustainable and efficient operations. This transformation mainly reveals itself by electric vehicles, hybrid electric vehicles, and electric vehicle sharing. One significant, and the most expensive, component in electric vehicles is the batteries, and the management of batteries is crucial. It is essential to perform constant monitoring of behavior changes for operational purposes and quickly adjust components and operations to these changes. 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 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 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. Its main objective is to streamline the exploration and interaction with the integrated data to maximize human productivity. 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, navigate and enrich it with additional knowledge, and generate data sets.

Suggested Citation

  • Tahir Emre Kalaycı & Bor Bricelj & Marko Lah & Franz Pichler & Matthias K. Scharrer & Jelena Rubeša-Zrim, 2021. "A Knowledge Graph-Based Data Integration Framework Applied to Battery Data Management," Sustainability, MDPI, vol. 13(3), pages 1-17, February.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:3:p:1583-:d:492024
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    References listed on IDEAS

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    1. Marta Gangolells & Miquel Casals & Núria Forcada & Marcel Macarulla, 2020. "Life Cycle Analysis of a Game-Based Solution for Domestic Energy Saving," Sustainability, MDPI, vol. 12(17), pages 1-18, August.
    2. Dietmar Göhlich & Kai Nagel & Anne Magdalene Syré & Alexander Grahle & Kai Martins-Turner & Ricardo Ewert & Ricardo Miranda Jahn & Dominic Jefferies, 2021. "Integrated Approach for the Assessment of Strategies for the Decarbonization of Urban Traffic," Sustainability, MDPI, vol. 13(2), pages 1-31, January.
    3. Lee, Dasheng & Cheng, Chin-Chi, 2016. "Energy savings by energy management systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 760-777.
    4. Martino Tran & David Banister & Justin D. K. Bishop & Malcolm D. McCulloch, 2012. "Realizing the electric-vehicle revolution," Nature Climate Change, Nature, vol. 2(5), pages 328-333, May.
    5. Das, Himadry Shekhar & Tan, Chee Wei & Yatim, A.H.M., 2017. "Fuel cell hybrid electric vehicles: A review on power conditioning units and topologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 268-291.
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