The Technical Challenges to V2G

  • Lance NoelEmail author
  • Gerardo Zarazua de Rubens
  • Johannes Kester
  • Benjamin K. Sovacool
Part of the Energy, Climate and the Environment book series (ECE)


This chapter reviews the various technical challenges that vehicle-to-grid currently faces, with a richer focus on the three primary barriers: battery degradation, charger efficiency, and aggregation and communication. While none of these three barriers prevent a vehicle-to-grid system from being put into place, they are the basis for many of the other barriers in the sociotechnical framework, underscoring the importance of a nuanced knowledge of these from a technical perspective. While scaling and standardization of communication pose challenges, the implementation of algorithms may assuage all three of these barriers. The chapter lastly discusses the increasingly digitalization of society and the risks that vehicle-to-grid and other internet-of-thing technologies may pose.


  1. 1.
    Schuitema G, Anable J, Skippon S, Kinnear N. The role of instrumental, hedonic and symbolic attributes in the intention to adopt electric vehicles. Transp Res Part Policy Pract. 2013;48:39–49.CrossRefGoogle Scholar
  2. 2.
    Egbue O, Long S. Barriers to widespread adoption of electric vehicles: an analysis of consumer attitudes and perceptions. Energy Policy. 2012;48:717–29.CrossRefGoogle Scholar
  3. 3.
    Hidrue MK, Parsons GR, Kempton W, Gardner MP. Willingness to pay for electric vehicles and their attributes. Resour Energy Econ. 2011;33(3):686–705.CrossRefGoogle Scholar
  4. 4.
    Thompson AW. Economic implications of lithium ion battery degradation for vehicle-to-grid (V2X) services. J Power Sources. 2018;396:691–709.CrossRefGoogle Scholar
  5. 5.
    Bishop JDK, Axon CJ, Bonilla D, Tran M, Banister D, McCulloch MD. Evaluating the impact of V2G services on the degradation of batteries in PHEV and EV. Appl Energy. 2013;111:206–18.CrossRefGoogle Scholar
  6. 6.
    Rezvanizaniani SM, Liu Z, Chen Y, Lee J. Review and recent advances in battery health monitoring and prognostics technologies for electric vehicle (EV) safety and mobility. J Power Sources. 2014;256:110–24.CrossRefGoogle Scholar
  7. 7.
    Wang D, Coignard J, Zeng T, Zhang C, Saxena S. Quantifying electric vehicle battery degradation from driving vs. vehicle-to-grid services. J Power Sources. 2016;332:193–203.CrossRefGoogle Scholar
  8. 8.
    Jaguemont J, Boulon L, Dubé Y. A comprehensive review of lithium-ion batteries used in hybrid and electric vehicles at cold temperatures. Appl Energy. 2016;164:99–114.CrossRefGoogle Scholar
  9. 9.
    Fernández IJ, Calvillo CF, Sánchez-Miralles A, Boal J. Capacity fade and aging models for electric batteries and optimal charging strategy for electric vehicles. Energy. 2013;60:35–43.CrossRefGoogle Scholar
  10. 10.
    Smith K, Saxon A, Keyser M, Lundstrom B, Cao Z, Roc A. Life prediction model for grid-connected Li-ion battery energy storage system. In: Seattle, Washington; 2017. Available from:
  11. 11.
    Petit M, Prada E, Sauvant-Moynot V. Development of an empirical aging model for Li-ion batteries and application to assess the impact of vehicle-to-grid strategies on battery lifetime. Appl Energy. 2016;172:398–407.CrossRefGoogle Scholar
  12. 12.
    Shinzaki S, Sadano H, Maruyama Y, Kempton W. Deployment of vehicle-to-grid technology and related issues. In: 2015 [cited 2018 Jul 21]. Available from:
  13. 13.
    Lunz B, Yan Z, Gerschler JB, Sauer DU. Influence of plug-in hybrid electric vehicle charging strategies on charging and battery degradation costs. Energy Policy. 2012;46:511–19.CrossRefGoogle Scholar
  14. 14.
    Uddin K, Jackson T, Widanage WD, Chouchelamane G, Jennings PA, Marco J. On the possibility of extending the lifetime of lithium-ion batteries through optimal V2G facilitated by an integrated vehicle and smart-grid system. Energy. 2017;133:710–22.CrossRefGoogle Scholar
  15. 15.
    Saxena S, Le Floch C, MacDonald J, Moura S. Quantifying EV battery end-of-life through analysis of travel needs with vehicle powertrain models. J Power Sources. 2015;282:265–76.CrossRefGoogle Scholar
  16. 16.
    Jensen AF, Cherchi E, Mabit SL. On the stability of preferences and attitudes before and after experiencing an electric vehicle. Transp Res Part Transp Environ. 2013;25:24–32.CrossRefGoogle Scholar
  17. 17.
    Apostolaki-Iosifidou E, Codani P, Kempton W. Measurement of power loss during electric vehicle charging and discharging. Energy. 2017;127:730–42.CrossRefGoogle Scholar
  18. 18.
    Apostolaki-Iosifidou E, Kempton W, Codani P. Reply to Shirazi and Sachs comments on “measurement of power loss during electric vehicle charging and discharging”. Energy. 2018;142:1142–43.CrossRefGoogle Scholar
  19. 19.
    Kim J-S, Choe G-Y, Jung H-M, Lee B-K, Cho Y-J, Han K-B. Design and implementation of a high-efficiency on-board battery charger for electric vehicles with frequency control strategy. In: IEEE; 2010 [cited 2018 Jul 22]. p. 1–6. Available from:
  20. 20.
    Musavi F, Edington M, Eberle W, Dunford WG. Energy efficiency in plug-in hybrid electric vehicle chargers: evaluation and comparison of front end AC-DC topologies. In: IEEE; 2011 [cited 2018 Jul 22]. p. 273–80. Available from:
  21. 21.
    Kwon M, Jung S, Choi S. A high efficiency bi-directional EV charger with seamless mode transfer for V2G and V2H application. In: IEEE; 2015 [cited 2018 Jul 22]. p. 5394–99. Available from:
  22. 22.
    Bodo N, Levi E, Subotic I, Espina J, Empringham L, Johnson CM. Efficiency evaluation of fully integrated on-board EV battery chargers with nine-phase machines. IEEE Trans Energy Convers. 2017;32(1):257–66.CrossRefGoogle Scholar
  23. 23.
    Sears J, Roberts D, Glitman K. A comparison of electric vehicle Level 1 and Level 2 charging efficiency. In: IEEE; 2014 [cited 2018 Jul 22]. p. 255–58. Available from:
  24. 24.
    Peng C, Zou J, Lian L. Dispatching strategies of electric vehicles participating in frequency regulation on power grid: a review. Renew Sustain Energy Rev. 2017;68:147–52.CrossRefGoogle Scholar
  25. 25.
    Vandael S, Claessens B, Ernst D, Holvoet T, Deconinck G. Reinforcement learning of heuristic EV fleet charging in a day-ahead electricity market. IEEE Trans Smart Grid. 2015;6(4):1795–805.CrossRefGoogle Scholar
  26. 26.
    Talari S, Shafie-khah M, Siano P, Loia V, Tommasetti A, Catalão J. A review of smart cities based on the internet of things concept. Energies. 2017;10(4):421.CrossRefGoogle Scholar
  27. 27.
    Lee I, Lee K. The Internet of Things (IoT): applications, investments, and challenges for enterprises. Bus Horiz. 2015;58(4):431–40.CrossRefGoogle Scholar
  28. 28.
    Nahrstedt K, Li H, Nguyen P, Chang S, Vu L. Internet of mobile things: mobility-driven challenges, designs and implementations. In: IEEE; 2016 [cited 2018 Jul 27]. p. 25–36. Available from:
  29. 29.
    Xu LD, He W, Li S. Internet of things in industries: a survey. IEEE Trans Ind Inform. 2014;10(4):2233–243.CrossRefGoogle Scholar
  30. 30.
    U.S. DOT. Highway statistics 2016 [Internet]. Washington, DC: U.S. Department of Transportation, Federal Highway Administration; 2018 Jun. Available from:
  31. 31.
    Philip Chen CL, Zhang C-Y. Data-intensive applications, challenges, techniques and technologies: a survey on big data. Inf Sci. 2014;275:314–47.CrossRefGoogle Scholar
  32. 32.
    Kester J, Noel L, Lin X, Zarazua de Rubens G, Sovacool BK. The coproduction of electric mobility: selectivity, conformity and fragmentation in the sociotechnical acceptance of vehicle-to-grid (V2G) standards. J Clean Prod. 2019; 207: 400–410. Scholar
  33. 33.
    Martinenas S, Vandael S, Andersen PB, Christensen B. Standards for EV charging and their usability for providing V2G services in the primary reserve market.pdf. In: Montreal, Canada; 2016.Google Scholar
  34. 34.
    Pratt R, Tuffner F, Gowri K. Electric vehicle communication standards testing and validation—Phase I: SAE J2847/1. Richland, Washington: Pacific Northwest National Laboratory; 2011 Sep. p. 49. Report No.: PNNL-20913.Google Scholar
  35. 35.
    ISO. ISO 15118-1:2013—road vehicles—vehicle to grid communication interface—Part 1: general information and use-case definition [Internet]. International Standards Organization; 2013 Apr [cited 2016 Jun 20]. p. 65. Available from:
  36. 36.
    Saxena N, Choi BJ. Authentication scheme for flexible charging and discharging of mobile vehicles in the V2G networks. IEEE Trans Inf Forensics Secur. 2016;11(7):1438–52.CrossRefGoogle Scholar
  37. 37.
    California Energy Commission. Transcript of the 12/07/16 Vehicle-Grid Integration Communications Standards Workshop [Internet]. California Energy Commission; 2016. Available from:
  38. 38.
    Markel T, Meintz A, Hardy K, Chen B, Bohn T, Smart J, et al. Multi-Lab EV Smart Grid Integration Requirements Study [Internet]. Golden, Colorado: NREL; 2015 May [cited 2016 May 22]. p. 91. Report No.: NREL/TP-5400-63963. Available from:
  39. 39.
    Chen B, Hardy KS, Harper JD, Bohn TP, Dobrzynski DS. Towards standardized vehicle grid integration: current status, challenges, and next steps. In: Transportation Electrification Conference and Expo (ITEC), 2015 IEEE [Internet]. IEEE; 2015 [cited 2016 Apr 28]. p. 1–6. Available from:
  40. 40.
    McDaniel P, McLaughlin S. Security and privacy challenges in the smart grid. IEEE Secur Priv Mag. 2009;7(3):75–77.CrossRefGoogle Scholar
  41. 41.
    Bekara C. Security issues and challenges for the IoT-based smart grid. Procedia Comput Sci. 2014;34:532–37.CrossRefGoogle Scholar
  42. 42.
    Quinn EL. Smart metering and privacy: existing laws and competing policies. SSRN Electron J [Internet]. 2009 [cited 2018 Aug 24]. Available from:
  43. 43.
    Saxena N, Grijalva S, Chukwuka V, Vasilakos AV. Network security and privacy challenges in smart vehicle-to-grid. IEEE Wirel Commun. 2017;24(4):88–98.CrossRefGoogle Scholar
  44. 44.
    Bao K, Valev H, Wagner M, Schmeck H. A threat analysis of the vehicle-to-grid charging protocol ISO 15118. Comput Sci Res Dev. 2018;33(1–2):3–12.CrossRefGoogle Scholar
  45. 45.
    Xu L, Jiang C, Wang J, Yuan J, Ren Y. Information security in big data: privacy and data mining. IEEE Access. 2014;2:1149–176.CrossRefGoogle Scholar

Copyright information

© The Author(s) 2019

Authors and Affiliations

  • Lance Noel
    • 1
    Email author
  • Gerardo Zarazua de Rubens
    • 1
  • Johannes Kester
    • 1
  • Benjamin K. Sovacool
    • 1
    • 2
    • 3
  1. 1.Department of Business and TechnologyAarhus UniversityHerningDenmark
  2. 2.Science Policy Research Unit (SPRU)University of Sussex UnitFalmerUK
  3. 3.Universiti Tenaga NasionalKajangMalaysia

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