IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i10p4248-d1152737.html

The Role of Internet of Things on Electric Vehicle Charging Infrastructure and Consumer Experience

Author

Listed:
  • Nnaemeka V. Emodi

    (UQ Business School, University of Queensland, Brisbane, QLD 4072, Australia)

  • Udochukwu B. Akuru

    (Department of Electrical Engineering, Tshwane University of Technology, Pretoria 0183, South Africa)

  • Michael O. Dioha

    (Just Transition Network, Jakarta 10110, Indonesia)

  • Patrick Adoba

    (Institute for Decarbonization and Energy Advancement, University of Kentucky, Lexington, KY 40506, USA)

  • Remeredzai J. Kuhudzai

    (Department of Innovation, Electric Drive Africa, Kambanji, Glen Lorne, Harare 00263, Zimbabwe)

  • Olusola Bamisile

    (College of Nuclear Science and Automation Engineering, Chengdu University of Technology, Chengdu 610059, China)

Abstract

The drive for net-zero emission and global decarbonization spurred the need for a worldwide transition towards cleaner energy options. The fossil-fuel-dominated global transportation system is a target for these initiatives, accounting for 37% of recent carbon emissions. This has accelerated the adoption of electric vehicles (EVs) into the global market to cut down carbon emissions and improve efficiency in the transportation sector. In the face of this growth, limitations in EV charging infrastructure still loom large amongst EV consumers. Resolving this bottleneck requires systematic approaches to ensure seamless operation and integration into the existing transport systems. This study examines the critical role of IoT in addressing the challenges of EV public charging through reviewing the literature to understand the inter-relation and highlighting its attendant impact on consumer experience. Findings show that while IoT serves as a strong tool to foster public interest through favorable public policy, its novel and innovative nature faces developmental challenges based on existing government policies that could hinder the interest of potential investors. Therefore, governments should consider evaluating existing policies and practices to ascertain their suitability for IoT adoption in EVs, ensuring that they do not constitute unintentional barriers.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:10:p:4248-:d:1152737
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/10/4248/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/16/10/4248/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bi, Zicheng & Song, Lingjun & De Kleine, Robert & Mi, Chunting Chris & Keoleian, Gregory A., 2015. "Plug-in vs. wireless charging: Life cycle energy and greenhouse gas emissions for an electric bus system," Applied Energy, Elsevier, vol. 146(C), pages 11-19.
    2. 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.
    3. Wang, Yuanyuan & Chi, Yuanying & Xu, Jin-Hua & Yuan, Yongke, 2022. "Consumers’ attitudes and their effects on electric vehicle sales and charging infrastructure construction: An empirical study in China," Energy Policy, Elsevier, vol. 165(C).
    4. Di Xu & Wenhui Pei & Qi Zhang, 2022. "Optimal Planning of Electric Vehicle Charging Stations Considering User Satisfaction and Charging Convenience," Energies, MDPI, vol. 15(14), pages 1-16, July.
    5. Gao, Zhiming & Lin, Zhenhong & LaClair, Tim J. & Liu, Changzheng & Li, Jan-Mou & Birky, Alicia K. & Ward, Jacob, 2017. "Battery capacity and recharging needs for electric buses in city transit service," Energy, Elsevier, vol. 122(C), pages 588-600.
    6. Sestino, Andrea & Prete, Maria Irene & Piper, Luigi & Guido, Gianluigi, 2020. "Internet of Things and Big Data as enablers for business digitalization strategies," Technovation, Elsevier, vol. 98(C).
    7. Xylia, Maria & Silveira, Semida, 2018. "The role of charging technologies in upscaling the use of electric buses in public transport: Experiences from demonstration projects," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 399-415.
    8. Nnaemeka Vincent Emodi & Scott Dwyer & Kriti Nagrath & John Alabi, 2022. "Electromobility in Australia: Tariff Design Structure and Consumer Preferences for Mobile Distributed Energy Storage," Sustainability, MDPI, vol. 14(11), pages 1-18, May.
    9. Matteo Muratori, 2018. "Impact of uncoordinated plug-in electric vehicle charging on residential power demand," Nature Energy, Nature, vol. 3(3), pages 193-201, March.
    10. Brennan Borlaug & Matteo Muratori & Madeline Gilleran & David Woody & William Muston & Thomas Canada & Andrew Ingram & Hal Gresham & Charlie McQueen, 2021. "Heavy-duty truck electrification and the impacts of depot charging on electricity distribution systems," Nature Energy, Nature, vol. 6(6), pages 673-682, June.
    11. Zeinab Teimoori & Abdulsalam Yassine, 2022. "A Review on Intelligent Energy Management Systems for Future Electric Vehicle Transportation," Sustainability, MDPI, vol. 14(21), pages 1-23, October.
    12. Roberto Andrade & Iván Ortiz-Garcés & Xavier Tintin & Gabriel Llumiquinga, 2022. "Factors of Risk Analysis for IoT Systems," Risks, MDPI, vol. 10(8), pages 1-21, August.
    13. Jay Johnson & Timothy Berg & Benjamin Anderson & Brian Wright, 2022. "Review of Electric Vehicle Charger Cybersecurity Vulnerabilities, Potential Impacts, and Defenses," Energies, MDPI, vol. 15(11), pages 1-26, May.
    14. Perumal, Shyam S.G. & Lusby, Richard M. & Larsen, Jesper, 2022. "Electric bus planning & scheduling: A review of related problems and methodologies," European Journal of Operational Research, Elsevier, vol. 301(2), pages 395-413.
    15. Haustein, Sonja & Jensen, Anders Fjendbo & Cherchi, Elisabetta, 2021. "Battery electric vehicle adoption in Denmark and Sweden: Recent changes, related factors and policy implications," Energy Policy, Elsevier, vol. 149(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. Chengsi Li & Shu Zhang & Weijie Ling & Liquan Zhao & Younghwan Pan, 2024. "RETRACTED ARTICLE: Enhancing User Experience in Electric Vehicle Charging Applications (EVCA): A Comprehensive Analysis in the Chinese Context," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 18495-18530, December.
    2. Jiang, Luanjuan & Li, Qianmu & Chen, Xin, 2025. "A novel multi-agent game-theoretic model for cybersecurity strategies in EV charging networks: Addressing risk propagation and budget constraints," Energy, Elsevier, vol. 330(C).

    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. Krzysztof KRAWIEC, 2021. "Vehicle Cycle Hierarchization Model To Determine The Order Of Battery Electric Bus Deployment In Public Transport," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 16(1), pages 99-112, March.
    2. Boud Verbrugge & Mohammed Mahedi Hasan & Haaris Rasool & Thomas Geury & Mohamed El Baghdadi & Omar Hegazy, 2021. "Smart Integration of Electric Buses in Cities: A Technological Review," Sustainability, MDPI, vol. 13(21), pages 1-23, November.
    3. Pu, Yifan & Zhu, Rui & Wang, Shu & You, Linlin & Zhong, Teng & Xu, Yanqing & Qin, Zheng, 2025. "City-scale roadside electric vehicle parking and charging capacity: A deep learning augmented street-view-image data mining and analytic framework," Applied Energy, Elsevier, vol. 389(C).
    4. Tian, Xuelin & An, Chunjiang & Chen, Zhikun, 2023. "The role of clean energy in achieving decarbonization of electricity generation, transportation, and heating sectors by 2050: A meta-analysis review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).
    5. Najafi, Arsalan & Gao, Kun & Wang, Hua & Jasinski, Michal & Parishwad, Omkar & Cui, Shaohua & Liu, Xiaohan, 2025. "Joint charging scheduling of electric buses and active power flexibility integration," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 197(C).
    6. Djoenneady Poetera, Kevin & He, Sylvia Y. & Liu, Meng & Wu, Dan & Rippe, Christoph & Müller, Sven, 2025. "License plate lottery vs charging station density in electric vehicle adoption: Evidence from the early stage of market penetration in Beijing, China," Transport Policy, Elsevier, vol. 171(C), pages 542-565.
    7. Wang, Zhixin & Zheng, Feifeng & Hamdan, Sadeque & Jouini, Oualid, 2025. "On the spatio-temporal optimization for the charging scheduling of battery electric buses," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 197(C).
    8. Bie, Yiming & Qin, Wei & Wu, Jiabin, 2024. "Optimal electric bus scheduling method under hybrid energy supply mode of photovoltaic-energy storage system-power grid," Applied Energy, Elsevier, vol. 372(C).
    9. Zhou, Yu & Wang, Hua & Wang, Yun & Yu, Bin & Tang, Tianpei, 2024. "Charging facility planning and scheduling problems for battery electric bus systems: A comprehensive review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
    10. Bartłomiejczyk, Mikołaj & Caliandro, Priscilla, 2025. "Electrifying the bus network with trolleybus: Analyzing the in motion charging technology," Applied Energy, Elsevier, vol. 377(PC).
    11. Xin, Qing-Yao & Zhang, Bin & Zhang, Fang & Bansal, Prateek, 2025. "Coordinating demand response strategies for electric vehicles and second-life battery energy storage to optimize renewable energy absorption under demand and supply uncertainties," Transportation Research Part A: Policy and Practice, Elsevier, vol. 202(C).
    12. Siobhan Powell & Gustavo Vianna Cezar & Liang Min & Inês M. L. Azevedo & Ram Rajagopal, 2022. "Charging infrastructure access and operation to reduce the grid impacts of deep electric vehicle adoption," Nature Energy, Nature, vol. 7(10), pages 932-945, October.
    13. Yuping Lin & Kai Zhang & Zuo-Jun Max Shen & Lixin Miao, 2019. "Charging Network Planning for Electric Bus Cities: A Case Study of Shenzhen, China," Sustainability, MDPI, vol. 11(17), pages 1-27, August.
    14. Farshid Javadnejad & Mohammad Jahanbakh & Cesar Ariel Pinto & Azita Saeidi, 2024. "Analyzing incentives and barriers to electric vehicle adoption in the United States," Environment Systems and Decisions, Springer, vol. 44(3), pages 575-606, September.
    15. Cong, Yuan & Wang, Heqi & Bie, Yiming & Wu, Jiabin, 2023. "Double-battery configuration method for electric bus operation in cold regions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).
    16. Ali Saadon Al-Ogaili & Ali Q. Al-Shetwi & Hussein M. K. Al-Masri & Thanikanti Sudhakar Babu & Yap Hoon & Khaled Alzaareer & N. V. Phanendra Babu, 2021. "Review of the Estimation Methods of Energy Consumption for Battery Electric Buses," Energies, MDPI, vol. 14(22), pages 1-28, November.
    17. Franco, Sergio Edgar & Wang, Jing & Shirkoohi, Majid Gholami & Chen, Qiao & Mérida, Walter, 2025. "Public transit electrification planning with energy storage via second-life batteries – a stochastic programming approach," Applied Energy, Elsevier, vol. 401(PC).
    18. Zhong, Shaopeng & Liu, Ao & Fan, Meihan & Song, Yan & Jiang, Yu, 2025. "Optimizing electric bus charging station locations: An integrated land-use and transportation approach," Applied Energy, Elsevier, vol. 401(PA).
    19. Steren, Aviv & Parag, Yael & Teschner, Na'ama & Zemah-Shamir, Shiri, 2025. "Consumer preferences and willingness to pay for EV charging: Implications for incentives to promote off-peak charging and renewables integration," Applied Energy, Elsevier, vol. 392(C).
    20. Harris, Andrew & Soban, Danielle & Smyth, Beatrice M. & Best, Robert, 2020. "A probabilistic fleet analysis for energy consumption, life cycle cost and greenhouse gas emissions modelling of bus technologies," Applied Energy, Elsevier, vol. 261(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:16:y:2023:i:10:p:4248-:d:1152737. 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 The email address of this maintainer does not seem to be valid anymore. Please ask MDPI Indexing Manager to update the entry or send us the correct address (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.