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Blockchain IoT for Smart Electric Vehicles Battery Management

Author

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  • Bogdan Cristian Florea

    (Faculty of Electronics, Telecommunications and Information Technology, Politehnica University of Bucharest, 061071 Bucharest, Romania
    These authors contributed equally to this work.)

  • Dragos Daniel Taralunga

    (Faculty of Electronics, Telecommunications and Information Technology, Politehnica University of Bucharest, 061071 Bucharest, Romania
    These authors contributed equally to this work.)

Abstract

Electric Vehicles (EVs) have generated a lot of interest in recent years, due to the advances in battery life and low pollution. Similarly, the expansion of the Internet of Things (IoT) allowed more and more devices to be interconnected. One major problem EVs face today is the limited range of the battery and the limited number of charging or battery swapping stations. A solution is to not only build the necessary infrastructure, but also to be able to correctly estimate the remaining power using an efficient battery management system (BMS). For some EVs, battery swapping can also be an option, either at registered stations, or even directly from other EV drivers. Thus, a network of EV information is required, so that a successful battery charge or swap can be made available for drivers. In this paper two blockchain implementations for an EV BMS are presented, using blockchain as the network and data layer of the application. The first implementation uses Ethereum as the blockchain framework for developing smart contracts, while the second uses a directed acyclic graph (DAG), on top of the IOTA tangle. The two approaches are implemented and compared, demonstrating that both platforms can provide a viable solution for an efficient, semi-decentralized, data-driven BMS.

Suggested Citation

  • Bogdan Cristian Florea & Dragos Daniel Taralunga, 2020. "Blockchain IoT for Smart Electric Vehicles Battery Management," Sustainability, MDPI, vol. 12(10), pages 1-25, May.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:10:p:3984-:d:357549
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    References listed on IDEAS

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    Cited by:

    1. Ciprian Mihai Coman & Adriana Florescu & Constantin Daniel Oancea, 2021. "Assessment of Energy Use Based on an Implementation of IoT, Cloud Systems, and Artificial Intelligence," Energies, MDPI, vol. 14(11), pages 1-21, May.
    2. Özden Tozanlı & Elif Kongar & Surendra M. Gupta, 2020. "Evaluation of Waste Electronic Product Trade-in Strategies in Predictive Twin Disassembly Systems in the Era of Blockchain," Sustainability, MDPI, vol. 12(13), pages 1-33, July.
    3. Dai, Haifeng & Jiang, Bo & Hu, Xiaosong & Lin, Xianke & Wei, Xuezhe & Pecht, Michael, 2021. "Advanced battery management strategies for a sustainable energy future: Multilayer design concepts and research trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    4. Shabana Urooj & Fadwa Alrowais & Yuvaraja Teekaraman & Hariprasath Manoharan & Ramya Kuppusamy, 2021. "IoT Based Electric Vehicle Application Using Boosting Algorithm for Smart Cities," Energies, MDPI, vol. 14(4), pages 1-16, February.
    5. Walied Alharbi, 2023. "Assessment of Distribution System Margins Considering Battery Swapping Stations," Sustainability, MDPI, vol. 15(8), pages 1-13, April.
    6. Marta Biegańska, 2022. "IoT-Based Decentralized Energy Systems," Energies, MDPI, vol. 15(21), pages 1-20, October.

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