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access icon openaccess QoS guaranteed online management of battery swapping station under dynamic energy pricing

Further popularisation of electric vehicles (EVs) is hindered by their relatively short driving distance and long battery charging time. To overcome these shortcomings, the battery swapping station (BSS) has been proposed as a means of satisfying the increasing demands for fast EV battery recharging. At a BSS, (partially) depleted batteries from EVs can be replaced with partially or fully charged ones almost instantaneously. Recharging scheduling and maintenance of batteries are done by the operator of BSS, with the target of minimising electrical energy costs while satisfying customer demands. In this study, the authors consider a realistic BSS framework in which EVs can arrive at BSS with time of day dependent rates having different battery state-of-charges. They investigate the battery charging scheduling problem in the BSS under a dynamic energy pricing. They solve (i) an online optimal BSS control problem to minimise the energy cost with a quality-of-service (QoS) guarantee, and (ii) an offline optimal BSS design problem to determine the optimal number of stored batteries so as to achieve a desirable tradeoff between flexibility in charging and amortised battery costs. The experimental results show that the total charging energy cost can be reduced significantly under different traffic scenarios.

References

    1. 1)
      • 12. Tang, W., Bi, S., Zhang, Y.: ‘Online speeding optimal charging algorithm for electric vehicles without future information’. SmartGridComm, Vancouver, BC, Canada, 2013, pp. 175180.
    2. 2)
      • 3. Mitsubishi working on battery swapping for transit buse’. Available at http://www.autoblog.com/2010/04/29/report-mitsubishi-working-on-batteryswapping-for-transit-buses/.
    3. 3)
      • 2. Tesla motors: Battery swap’. Available at www.teslamotors.com/batteryswap.
    4. 4)
      • 17. Albadi, M.H., El-Saadany, E.: ‘Demand response in electricity markets: An overview’. IEEE PES General Meeting, Tampa, FL, USA, 2007, pp. 15.
    5. 5)
      • 20. Zhang, Y., You, P., Cai, L.: ‘Optimal charging scheduling by pricing for ev charging station with dual charging modes’, IEEE Trans. Intell. Transp. Syst., 2018, pp. 111. Early access DOI: 10.1109/TITS.2018.2876287.
    6. 6)
      • 1. Mukherjee, J.C., Gupta, A.: ‘A review of charge scheduling of electric vehicles in smart grid’, Syst. J. IEEE, 2015, 9, (4), pp. 15411553.
    7. 7)
      • 14. Rong, P., Pedram, M.: ‘An analytical model for predicting the remaining battery capacity of lithium-ion batteries’, IEEE Trans. Very Large Scale Integr. (VLSI) Syst., 2006, 14, (5), pp. 441451.
    8. 8)
      • 15. Cui, T., Goudarzi, H., Hatami, S., et al: ‘Concurrent optimization of consumer's electrical energy bill and producer's power generation cost under a dynamic pricing model’. 2012 IEEE PES ISGT, Washington, DC, USA, 2012, pp. 16.
    9. 9)
      • 5. Wu, T.H., Pang, G., Choy, K., et al: ‘An optimization model for a battery swapping station in Hong Kong’. ITEC, Dearborn, MI, USA, 2015, pp. 16.
    10. 10)
      • 10. Sun, B., Tan, X., Tsang, D.: ‘Optimal charging operation of battery swapping stations with qos guarantee’. 2014 IEEE Int. Conf. on SmartGridComm, Venice, Italy, 2014, pp. 1318.
    11. 11)
      • 8. Zheng, Y., Dong, Z.Y., Xu, Y., et al: ‘Electric vehicle battery charging/swap stations in distribution systems: comparison study and optimal planning’, IEEE Trans. Power Syst., 2014, 29, (1), pp. 221229.
    12. 12)
      • 24. Electric car quick charging guide’. Available at http://www.plugincars.com/electric-car-quickcharging-guide.html.
    13. 13)
      • 21. Wang, S., Bi, S., Zhang, Y.A., et al: ‘Electrical vehicle charging station profit maximization: admission, pricing, and online scheduling’, IEEE Trans. Sustain. Energy, 2018, 9, (4), pp. 17221731.
    14. 14)
      • 4. Lidicker, J., Lipman, T., Williams, B.: ‘Business model for subscription service for electric vehicles including battery swapping, for San Francisco bay area, california’, Transp. Res. Rec., J. Transp. Res. Board, 2011, 2252, pp. 8390.
    15. 15)
      • 9. Yang, J., Hao, S.: ‘Battery swap station location-routing problem with capacitated electric vehicles’, Comput. Oper. Res., 2015, 55, pp. 217232.
    16. 16)
      • 18. Li, J., Wang, Y., Lin, X., et al: ‘Negotiation-based task scheduling and storage control algorithm to minimize user's electric bills under dynamic prices’. ASP-DAC, Chiba, Japan, 2015, pp. 261266.
    17. 17)
      • 19. Boyd, S., Vandenberghe, L.: ‘Convex optimization’ (Cambridge University Press, Cambridge, UK, 2004).
    18. 18)
      • 16. Li, J., Wang, Y., Cui, T., et al: ‘Negotiation-based task scheduling to minimize user's electricity bills under dynamic energy prices’. 2014 IEEE Online Conf. on Green Communications (OnlineGreenComm), Tucson, AZ, USA, 2014, pp. 16.
    19. 19)
      • 13. Lu, L., Han, X., Li, J., et al: ‘A review on the key issues for lithiumion battery management in electric vehicles’, J. Power Sources, 2013, 226, pp. 272288.
    20. 20)
      • 6. Borenstein, S.: ‘The long-run efficiency of real-time electricity pricing’, Energy J., 2005, 26, (3), pp. 93116.
    21. 21)
      • 11. Yang, S., Yao, J., Kang, T., et al: ‘Dynamic operation model of the battery swapping station for ev (electric vehicle) in electricity market’, Energy, 2014, 65, pp. 544549.
    22. 22)
      • 23. Day-ahead LMP prices’. Available at www.pjm.com/marketsand-operations/energy/dayahead/lmpda.aspx.
    23. 23)
      • 22. Grant, M., Boyd, S.: ‘CVX: Matlab software for disciplined convex programming, version 2.1’, 2014.
    24. 24)
      • 7. Sarker, M.R., Pandzic, H., Ortega Vazquez, M.: ‘Electric vehicle battery swapping station: business case and optimization model’. Int. Conf. on ICCVE, 2013, Las Vegas, NV, USA, 2013, pp. 289294.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-cps.2018.5041
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