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Fog Computing for Next Generation Transport- a Battery Swapping System Case Study

Fog Computing for Next Generation Transport- a Battery Swapping System Case Study Electric vehicle (EV) is a promising technology for reducing environmental impacts of road transport. Efficient EV charging control strategies that can affect the impacts and benefits is a potential research problem. Adopting the notion of IoT, in this paper, we present a Cloud-Fog based Battery Swapping Topology (BSS). A QoS ensuring timing model is proposed for defining the charging management of EV batteries across the BSS. For optimal BSS infrastructure planning, we also present a cost optimization framework, considering the timing and architectural constraints. The potential solution approaches for the given optimization formulation is also discussed. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Technology and Economics of Smart Grids and Sustainable Energy Springer Journals

Fog Computing for Next Generation Transport- a Battery Swapping System Case Study

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Publisher
Springer Journals
Copyright
Copyright © 2018 by Springer Nature Singapore Pte Ltd.
Subject
Energy; Energy Systems; Power Electronics, Electrical Machines and Networks; Energy Economics
eISSN
2199-4706
DOI
10.1007/s40866-018-0043-z
Publisher site
See Article on Publisher Site

Abstract

Electric vehicle (EV) is a promising technology for reducing environmental impacts of road transport. Efficient EV charging control strategies that can affect the impacts and benefits is a potential research problem. Adopting the notion of IoT, in this paper, we present a Cloud-Fog based Battery Swapping Topology (BSS). A QoS ensuring timing model is proposed for defining the charging management of EV batteries across the BSS. For optimal BSS infrastructure planning, we also present a cost optimization framework, considering the timing and architectural constraints. The potential solution approaches for the given optimization formulation is also discussed.

Journal

Technology and Economics of Smart Grids and Sustainable Energy – Springer Journals

Published: May 11, 2018

References

  • Electric vehicle battery charging/swap stations in distribution systems: comparison study and optimal planning
    Yu, Z; Zhao Yang, D; Yan, X; Ke, M; Jun Hua, Z; Jing, Q
  • EMAas: cloud-based energy management service for distributed renewable energy integration
    Chen, YW; Chang, JM
  • Plug-in electric vehicle to cloud data analytics for charging management
    Hussain, MM; Alam, MS; Beg, MMS
  • Electric vehicle battery charging / swap stations in distribution systems: comparison study and optimal planning
    Zheng, Y; Member, S; Dong, ZY; Member, S; Xu, Y
  • Infrastructure planning for electric vehicles with battery swapping
    Mak, H; Shen, ZM
  • Optimal operation and services scheduling for an electric vehicle battery swapping station
    Sarker, R; Member, S; Pandži, H; Ortega-vazquez, MA
  • Supplementary automatic generation control using controllable energy storage in electric vehicle battery swapping stations
    Xie, P; Li, Y; Zhu, L; Shi, D; Duan, X
  • Big data analytics for dynamic energy management in smart grids
    Diamantoulakis, PD; Kapinas, VM; Karagiannidis, GK
  • Battery swap station location-routing problem with capacitated electric vehicles
    Yang, J; Sun, H