IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i5p1908-d764736.html
   My bibliography  Save this article

Smart Electric Vehicle Charging in the Era of Internet of Vehicles, Emerging Trends, and Open Issues

Author

Listed:
  • Bhaskar P. Rimal

    (The Beacom College of Computer and Cyber Sciences, Dakota State University, Madison, SD 57042, USA)

  • Cuiyu Kong

    (Department of Computer Information Systems, Highline College, Des Moines, WA 98198, USA)

  • Bikrant Poudel

    (Department of Electrical and Computer Engineering, University of New Orleans, New Orleans, LA 70148, USA)

  • Yong Wang

    (The Beacom College of Computer and Cyber Sciences, Dakota State University, Madison, SD 57042, USA)

  • Pratima Shahi

    (Institute of Engineering, Tribhuvan University, Kathmandu 44613, Nepal)

Abstract

The Internet of Vehicles (IoV), where people, fleets of electric vehicles (EVs), utility, power grids, distributed renewable energy, and communications and computing infrastructures are connected, has emerged as the next big leap in smart grids and city sectors for a sustainable society. Meanwhile, decentralized and complex grid edge faces many challenges for planning, operation, and management of power systems. Therefore, providing a reliable communications infrastructure is vital. The fourth industrial revolution, that is, a cyber-physical system in conjunction with the Internet of Things (IoT) and coexistence of edge (fog) and cloud computing brings new ways of dealing with such challenges and helps maximize the benefits of power grids. From this perspective, as a use case of IoV, we present a cloud-based EV charging framework to tackle issues of high demand in charging stations during peak hours. A price incentive scheme and another scheme, electricity supply expansion, are presented and compared with the baseline. The results demonstrate that the proposed hierarchical models improve the system performance and the quality of service (QoS) for EV customers. The proposed methods can efficiently assist system operators in managing the system design and grid stability. Further, to shed light on emerging technologies for smart and connected EVs, we elaborate on seven major trends: decentralized energy trading based on blockchain and distributed ledger technology, behavioral science and behavioral economics, artificial and computational intelligence and its applications, digital twins of IoV, software-defined IoVs, and intelligent EV charging with information-centric networking, and parking lot microgrids and EV-based virtual storage. We have also discussed some of the potential research issues in IoV to further study IoV. The integration of communications, modern power system management, EV control management, and computing technologies for IoV are crucial for grid stability and large-scale EV charging networks.

Suggested Citation

  • Bhaskar P. Rimal & Cuiyu Kong & Bikrant Poudel & Yong Wang & Pratima Shahi, 2022. "Smart Electric Vehicle Charging in the Era of Internet of Vehicles, Emerging Trends, and Open Issues," Energies, MDPI, vol. 15(5), pages 1-24, March.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:5:p:1908-:d:764736
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/5/1908/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/5/1908/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mohammed Amine Bouras & Qinghua Lu & Sahraoui Dhelim & Huansheng Ning, 2021. "A Lightweight Blockchain-Based IoT Identity Management Approach," Future Internet, MDPI, vol. 13(2), pages 1-14, January.
    2. Daryabari, Mohamad K. & Keypour, Reza & Golmohamadi, Hessam, 2020. "Stochastic energy management of responsive plug-in electric vehicles characterizing parking lot aggregators," Applied Energy, Elsevier, vol. 279(C).
    3. Bayram, Islam Safak & Ustun, Taha Selim, 2017. "A survey on behind the meter energy management systems in smart grid," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 1208-1232.
    4. Radu Godina & Eduardo M. G. Rodrigues & João C. O. Matias & João P. S. Catalão, 2015. "Effect of Loads and Other Key Factors on Oil-Transformer Ageing: Sustainability Benefits and Challenges," Energies, MDPI, vol. 8(10), pages 1-40, October.
    5. Mahmoud Ibrahim & Anton Rassõlkin & Toomas Vaimann & Ants Kallaste, 2022. "Overview on Digital Twin for Autonomous Electrical Vehicles Propulsion Drive System," Sustainability, MDPI, vol. 14(2), pages 1-16, January.
    6. Daryabari, Mohamad K. & Keypour, Reza & Golmohamadi, Hessam, 2021. "Robust self-scheduling of parking lot microgrids leveraging responsive electric vehicles," Applied Energy, Elsevier, vol. 290(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nnaemeka V. Emodi & Udochukwu B. Akuru & Michael O. Dioha & Patrick Adoba & Remeredzai J. Kuhudzai & Olusola Bamisile, 2023. "The Role of Internet of Things on Electric Vehicle Charging Infrastructure and Consumer Experience," Energies, MDPI, vol. 16(10), pages 1-18, May.
    2. Tomasz Zema & Adam Sulich & Sebastian Grzesiak, 2022. "Charging Stations and Electromobility Development: A Cross-Country Comparative Analysis," Energies, MDPI, vol. 16(1), pages 1-20, December.
    3. Rajeshkumar Ramraj & Ehsan Pashajavid & Sanath Alahakoon & Shantha Jayasinghe, 2023. "Quality of Service and Associated Communication Infrastructure for Electric Vehicles," Energies, MDPI, vol. 16(20), pages 1-28, October.
    4. Bogdan Gilev & Miroslav Andreev & Nikolay Hinov & George Angelov, 2022. "Modeling and Simulation of a Low-Cost Fast Charging Station Based on a Micro Gas Turbine and a Supercapacitor," Energies, MDPI, vol. 15(21), pages 1-15, October.
    5. Zheng, Zhuang & Shafique, Muhammad & Luo, Xiaowei & Wang, Shengwei, 2024. "A systematic review towards integrative energy management of smart grids and urban energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PB).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Golmohamadi, Hessam, 2022. "Demand-side management in industrial sector: A review of heavy industries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
    2. Hessam Golmohamadi, 2022. "Demand-Side Flexibility in Power Systems: A Survey of Residential, Industrial, Commercial, and Agricultural Sectors," Sustainability, MDPI, vol. 14(13), pages 1-16, June.
    3. Hessam Golmohamadi & Saeed Golestan & Rakesh Sinha & Birgitte Bak-Jensen, 2024. "Demand-Side Flexibility in Power Systems, Structure, Opportunities, and Objectives: A Review for Residential Sector," Energies, MDPI, vol. 17(18), pages 1-22, September.
    4. Golmohamadi, Hessam, 2021. "Stochastic energy optimization of residential heat pumps in uncertain electricity markets," Applied Energy, Elsevier, vol. 303(C).
    5. Miro Antonijević & Stjepan Sučić & Hrvoje Keserica, 2018. "Augmented Reality Applications for Substation Management by Utilizing Standards-Compliant SCADA Communication," Energies, MDPI, vol. 11(3), pages 1-17, March.
    6. Guo, Shiliang & Li, Pengpeng & Ma, Kai & Yang, Bo & Yang, Jie, 2022. "Robust energy management for industrial microgrid considering charging and discharging pressure of electric vehicles," Applied Energy, Elsevier, vol. 325(C).
    7. Lefeng Cheng & Tao Yu & Guoping Wang & Bo Yang & Lv Zhou, 2018. "Hot Spot Temperature and Grey Target Theory-Based Dynamic Modelling for Reliability Assessment of Transformer Oil-Paper Insulation Systems: A Practical Case Study," Energies, MDPI, vol. 11(1), pages 1-26, January.
    8. Pietro Stabile & Federico Ballo & Giorgio Previati & Giampiero Mastinu & Massimiliano Gobbi, 2023. "Eco-Driving Strategy Implementation for Ultra-Efficient Lightweight Electric Vehicles in Realistic Driving Scenarios," Energies, MDPI, vol. 16(3), pages 1-19, January.
    9. Jiefeng Liu & Hanbo Zheng & Yiyi Zhang & Hua Wei & Ruijin Liao, 2017. "Grey Relational Analysis for Insulation Condition Assessment of Power Transformers Based Upon Conventional Dielectric Response Measurement," Energies, MDPI, vol. 10(10), pages 1-16, October.
    10. Yehia Ibrahim Alzoubi & Ahmad Al-Ahmad & Hasan Kahtan & Ashraf Jaradat, 2022. "Internet of Things and Blockchain Integration: Security, Privacy, Technical, and Design Challenges," Future Internet, MDPI, vol. 14(7), pages 1-48, July.
    11. Zhu, Dafeng & Yang, Bo & Ma, Chengbin & Wang, Zhaojian & Zhu, Shanying & Ma, Kai & Guan, Xinping, 2022. "Stochastic gradient-based fast distributed multi-energy management for an industrial park with temporally-coupled constraints," Applied Energy, Elsevier, vol. 317(C).
    12. Golmohamadi, Hessam & Larsen, Kim Guldstrand & Jensen, Peter Gjøl & Hasrat, Imran Riaz, 2022. "Integration of flexibility potentials of district heating systems into electricity markets: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 159(C).
    13. Silvia Mazzetto, 2024. "A Review of Urban Digital Twins Integration, Challenges, and Future Directions in Smart City Development," Sustainability, MDPI, vol. 16(19), pages 1-33, September.
    14. Faris Adnan Padhilah & Kyeong-Hwa Kim, 2021. "A Centralized Power Flow Control Scheme of EV-Connected DC Microgrid to Satisfy Multi-Objective Problems under Several Constraints," Sustainability, MDPI, vol. 13(16), pages 1-37, August.
    15. Touzani, Samir & Prakash, Anand Krishnan & Wang, Zhe & Agarwal, Shreya & Pritoni, Marco & Kiran, Mariam & Brown, Richard & Granderson, Jessica, 2021. "Controlling distributed energy resources via deep reinforcement learning for load flexibility and energy efficiency," Applied Energy, Elsevier, vol. 304(C).
    16. van de Kaa, G. & Fens, T. & Rezaei, J. & Kaynak, D. & Hatun, Z. & Tsilimeni-Archangelidi, A., 2019. "Realizing smart meter connectivity: Analyzing the competing technologies Power line communication, mobile telephony, and radio frequency using the best worst method," Renewable and Sustainable Energy Reviews, Elsevier, vol. 103(C), pages 320-327.
    17. Amit Shewale & Anil Mokhade & Nitesh Funde & Neeraj Dhanraj Bokde, 2022. "A Survey of Efficient Demand-Side Management Techniques for the Residential Appliance Scheduling Problem in Smart Homes," Energies, MDPI, vol. 15(8), pages 1-34, April.
    18. Florentina Magda Enescu & Fernando Georgel Birleanu & Maria Simona Raboaca & Mircea Raceanu & Nicu Bizon & Phatiphat Thounthong, 2023. "Electric Vehicle Charging Station Based on Photovoltaic Energy with or without the Support of a Fuel Cell–Electrolyzer Unit," Energies, MDPI, vol. 16(2), pages 1-19, January.
    19. Ayu Washizu & Satoshi Nakano & Hideo Ishii & Yasuhiro Hayashi, 2019. "Willingness to Pay for Home Energy Management Systems: A Survey in New York and Tokyo," Sustainability, MDPI, vol. 11(17), pages 1-20, September.
    20. Mahdi Azimian & Vahid Amir & Reza Habibifar & Hessam Golmohamadi, 2021. "Probabilistic Optimization of Networked Multi-Carrier Microgrids to Enhance Resilience Leveraging Demand Response Programs," Sustainability, MDPI, vol. 13(11), pages 1-30, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:15:y:2022:i:5:p:1908-:d:764736. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.