• DocumentCode
    1814305
  • Title

    A multicell battery system design for electric and plug-in hybrid electric vehicles

  • Author

    Kim, Taesic ; Qiao, Wei ; Qu, Liyan

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Nebraska-Lincoln, Lincoln, NE, USA
  • fYear
    2012
  • fDate
    4-8 March 2012
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    The performance of electric vehicles (EVs) and plug-in hybrid electric vehicle (PHEVs) strongly relies on their battery storage system, which consists of multiple battery cells connected in series and parallel. However, cell state variations are commonly present, which reduces the energy conversion efficiency of the battery system. Furthermore, in a large battery system the risk of catastrophic faults of cells increases because a large numbers of cells are used. To solve these problems, this paper proposes a novel power electronics-enabled, self-X, multicell battery system design. The proposed battery system can self-heal from failures or abnormal operations of single or multiple cells and self-balance from cell state variations. These features are achieved by a cell switching circuit and a high-performance battery management system (BMS). The proposed design is validated by simulation studies in MATLAB Simulink for a battery system containing five modules connected in series, where each module consists of 6×3 cylindrical lithium-ion cells. The proposed design is scalable to large battery systems for EV/PHEV applications.
  • Keywords
    battery management systems; fault diagnosis; hybrid electric vehicles; power electronics; BMS; EV-PHEV applications; MATLAB Simulink; battery storage system; catastrophic faults; cell state variations; cell switching circuit; cylindrical lithium-ion cells; energy conversion efficiency reduction; high-performance battery management system; multicell battery system design; plug-in hybrid electric vehicles; power electronics-enabled design; self-balance; self-heal; Batteries; Discharges (electric); Integrated circuit modeling; Mathematical model; Power MOSFET; Switching circuits; System-on-a-chip;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Vehicle Conference (IEVC), 2012 IEEE International
  • Conference_Location
    Greenville, SC
  • Print_ISBN
    978-1-4673-1562-3
  • Type

    conf

  • DOI
    10.1109/IEVC.2012.6183240
  • Filename
    6183240