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Intelligent Transportation Systems Enabled ICT Framework for Electric Vehicle Charging in Smart City

  • Yue CaoEmail author
  • Naveed Ahmad
  • Omprakash Kaiwartya
  • Ghanim Puturs
  • Muhammad Khalid
Chapter

Abstract

In the future, Electric Vehicles (EVs) are expected to be widely adopted as personal, commercial, and public fleets in modern cities. The popularity of EVs will have a significant impact on the sustainable and economic development of urban city. However, compared to traditional fossil fuel vehicles, EVs have limited range and inevitably necessitate regular recharging. Thus, the provisioning of assured service quality is necessary for realizing E-mobility solution using EVs.

The design of an efficient charging management system for EVs has become an emerging research problem in future connected vehicles applications, given their mobility uncertainties. Major technical challenges involve decision-making intelligence for the selection of Charging Stations (CSs), as well as the corresponding communication infrastructure for information dissemination between the power grid and mobile EVs. This chapter introduces a number of information enabling technologies that been applied for EV charging, viewed from a transportation planning angle.

Keywords

Electric Vehicle Transportation Planning Charging Management Wireless Communication Mobile Edge Computing Vehicle-to-Vehicle Mobility 

References

  1. 1.
    Schewel, L., & Kammen, D. M. (2010). Smart transportation: Synergizing electrified vehicles and mobile information systems. Environment, 52(5), 24–35.Google Scholar
  2. 2.
    Mukherjee, J. C., & Gupta, A. (2015). A review of charge scheduling of electric vehicles in smart grid. IEEE Systems Journal, 9(4), 1541–1553.CrossRefGoogle Scholar
  3. 3.
    Yang, S. N., Cheng, W. S., Hsu, Y. C., Gan, C. H., & Lin, Y. B. (2013). Charge scheduling of electric vehicles in highways. Mathematical and Computer Modelling, 57(11), 2873–2882.CrossRefGoogle Scholar
  4. 4.
    De Weerdt, M. M., Stein, S., Gerding, E. H., Robu, V., & Jennings, N. R. (2016). Intention-aware routing of electric vehicles. IEEE Transactions on Intelligent Transportation Systems, 17(5), 1472–1482.CrossRefGoogle Scholar
  5. 5.
    Cao, Y., Wang, T., Kaiwartya, O., Min, G., Ahmad, N., & Abdullah, A. H. (2016). An ev charging management system concerning drivers' trip duration and mobility uncertainty. IEEE Transactions on Systems, Man, and Cybernetics: Systems.Google Scholar
  6. 6.
    Yu, C. M., Chen, C. Y., Kuo, S. Y., & Chao, H. C. (2014). Privacy-preserving power request in smart grid networks. IEEE Systems Journal, 8(2), 441–449.CrossRefGoogle Scholar
  7. 7.
    Lei, A., Cruickshank, H., Cao, Y., Asuquo, P., Ogah, C. P. A., & Sun, Z. (2017). Blockchain-Based Dynamic Key Management for Heterogeneous Intelligent Transportation Systems. IEEE Internet of Things Journal.  https://doi.org/10.1109/JIOT.2017.2740569.CrossRefGoogle Scholar
  8. 8.
    Cao, Y., Wang, N., Kamel, G., & Kim, Y. J. (2017). An electric vehicle charging management scheme based on publish/subscribe communication framework. IEEE Systems Journal, 11(3), 822–835.CrossRefGoogle Scholar
  9. 9.
    Rigas, E. S., Ramchurn, S. D., & Bassiliades, N. (2015). Managing electric vehicles in the smart grid using artificial intelligence: A survey. IEEE Transactions on Intelligent Transportation Systems, 16(4), 1619–1635.CrossRefGoogle Scholar
  10. 10.
    Hausler, F., Crisostomi, E., Schlote, A., Radusch, I., & Shorten, R. (2014). Stochastic park-and-charge balancing for fully electric and plug-in hybrid vehicles. IEEE Transactions on Intelligent Transportation Systems, 15(2), 895–901.CrossRefGoogle Scholar
  11. 11.
    E. Rigas, S. Ramchurn, N. Bassiliades, and G. Koutitas. (2013), “Congestion Management for Urban EV Charging Systems,” Paper present at the IEEE International Conference on Smart Grid Communication , Vancouver, Canada, 21–24 October, 2013.Google Scholar
  12. 12.
    H. Qin, & W. Zhang. (2011). “Charging Scheduling with Minimal Waiting in a Network of Electric Vehicles and Charging Stations”, Paper present at the ACM international workshop on Vehicular inter-networking, Las Vegas, Nevada, USA, 23 September, 2011.Google Scholar
  13. 13.
    Cao, Y., & Wang, N. (2017). Toward Efficient Electric-Vehicle Charging Using VANET-Based Information Dissemination. IEEE Transactions on Vehicular Technology, 66(4), 2886–2901.CrossRefGoogle Scholar
  14. 14.
    Cao, Y., Kaiwartya, O., Wang, R., Jiang, T., Cao, Y., Aslam, N., & Sexton, G. (2017). Toward Efficient, Scalable, and Coordinated On-the-Move EV Charging Management. IEEE Wireless Communications, 24(2), 66–73.CrossRefGoogle Scholar
  15. 15.
    Cao, Y., Song, H.,Houbing Song., Kaiwartya, O., Zhou, B., Zhuang, Y., Cao, Y., and Zhang, X. “Mobile Edge Computing for Big Data-Enabled Electric Vehicle Charging”. IEEE Communications Magazine. (To appear in 2017)Google Scholar
  16. 16.
    Cao, Y., & Sun, Z. (2013). Routing in delay/disruption tolerant networks: A taxonomy, survey and challenges. IEEE Communications surveys & tutorials, 15(2), 654–677.CrossRefGoogle Scholar
  17. 17.
    Cao, Y., Zhang, X., Wang, R., Peng, L., Aslam, N., and Chen, X. (2017) “Applying DTN Routing for Reservation-Driven EV Charging Management in Smart Cities”, Paper present at 13th IEEE International Wireless Communication and Mobile Computing Conference, Valencia, Spain, 26–30 June, 2017.Google Scholar
  18. 18.
    Cao, Y., Sun, Z., Wang, N., Cruickshank, H., & Ahmad, N. (2013). A reliable and efficient geographic routing scheme for delay/disruption tolerant networks. IEEE Wireless Communications Letters, 2(6), 603–606.CrossRefGoogle Scholar
  19. 19.
    M. Rashidi, I. Batros, T. Madsen, M. Riaz, and T. Paulin, (2012) “Placement of Road Side Units for Floating Car Data Collection in Highway Scenario,” Paper presented at 4th International Congress on Ultra-Modern Telecommunication and Control Systems, Petersburg, Russia, 3–5 October, 2012.Google Scholar
  20. 20.
    Cao, Y., Yang, S., Min, G., Zhang, X., Song, H., Kaiwartya, O., & Aslam, N. (2017). A Cost-Efficient Communication Framework for Battery-Switch-Based Electric Vehicle Charging. IEEE Communications Magazine, 55(5), 162–169.CrossRefGoogle Scholar
  21. 21.
    Kaiwartya, O., Abdullah, A., Cao, Y., Lloret, J., Kumar, S., Aslam, N., Shah, R. “GeoLR: Geometry based Localization and Re-Location Assistance for GPS Outage in VANETs”. IEEE Transactions on Vehicular Technology. (To appear in 2018).Google Scholar
  22. 22.
    “ETSI TS 101 556-1 (2012) v1.1.1 Intelligent Transport Systems (ITS); Infrastructure to Vehicle Communication; Part 1: Electric Vehicle Charging Spot Notification Specification,” Tech. Rep.Google Scholar
  23. 23.
    “ETSI TS 101 556-3 v1.1.1 Intelligent Transport Systems (ITS); Infrastructure to Vehicle Communications; Part 3: Communications System for the Planning and Reservation of EV Energy Supply Using Wireless Networks,” Tech. Rep.Google Scholar
  24. 24.
    Mach, P., & Becvar, Z. (2017). Mobile edge computing: A survey on architecture and computation offloading. IEEE Communications Surveys & Tutorials, 19(3), 1628–1656.CrossRefGoogle Scholar
  25. 25.
    Yang, Bin., Chai, Wei., Pavlou, G., Katsaros, K. (2016). “Seamless Support of Low Latency Mobile Applications with NFV-Enabled Mobile Edge-Cloud”, Paper present at 5th IEEE International Cloud Networking, Pisa, Italy, 3–5 October, 2016.Google Scholar
  26. 26.
    Zhou, B., & Chen, Q. (2016). “On the Particle-assisted Stochastic Search Mechanism in Wireless Cooperative Localization”, IEEE Transactions on Wireless Communications, 15(7), 4765–4777.Google Scholar

Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Yue Cao
    • 1
    Email author
  • Naveed Ahmad
    • 2
  • Omprakash Kaiwartya
    • 1
  • Ghanim Puturs
    • 1
  • Muhammad Khalid
    • 1
  1. 1.Northumbria UniversityTyneUK
  2. 2.University of PeshawarPeshawarPakistan

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