• DocumentCode
    2067257
  • Title

    Assessing the effect of fast charging on the battery health of Plug-In Hybrid electric vehicles

  • Author

    Bandyopadhyay, A. ; Lingfeng Wang ; Devabhaktuni, V.K. ; Rui Yang ; Green, R.C.

  • Author_Institution
    EECS Dept., Univ. of Toledo, Toledo, OH, USA
  • fYear
    2012
  • fDate
    22-26 July 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Significant infrastructure demand will be experienced for the widespread use of Plug-in Hybrid Electric Vehicles (PHEVs) for Vehicle to Grid (V2G) transactions. Charging stations are expected to be used in a wide array of commercial enterprises that will aid PHEV users to charge their vehicles. LEVEL 3 charging or Fast Charging is an alternative to the standard LEVEL 1 and LEVEL 2 charging topology. It has the ability to fully charge a PHEV from near zero State of Charge (SOC) levels in under an hour. This paper uses a Li-ion Battery Model to simulate the effect of the rapid increase in SOC on the overall health of the battery. Multi-Objective Particle Swarm Optimization (MOPSO) is used to develop strategies that help in reducing both the battery degradation and cost to the user.
  • Keywords
    battery powered vehicles; hybrid electric vehicles; lithium; particle swarm optimisation; secondary cells; Li; MOPSO; PHEV; SOC levels; battery degradation; battery health; charging stations; fast charging effect assessment; level 2 charging topology; level 3 charging topology; lithium-ion battery model; multiobjective particle swarm optimization; plug-in hybrid electric vehicles; standard level 1 charging topology; vehicle-to-grid transactions; zero state of charge level; Batteries; Degradation; Electrodes; Films; Particle swarm optimization; System-on-a-chip; US Department of Defense; Li-ion Battery; Multi-objective Particle Swarm Optimization (MOPSO); Plug-in Hybrid Electric Vehicles (PHEVs); Vehicle to Grid (V2G);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power and Energy Society General Meeting, 2012 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1944-9925
  • Print_ISBN
    978-1-4673-2727-5
  • Electronic_ISBN
    1944-9925
  • Type

    conf

  • DOI
    10.1109/PESGM.2012.6345617
  • Filename
    6345617