• DocumentCode
    151241
  • Title

    Modular approach for continuous cell-level balancing to improve performance of large battery packs

  • Author

    Ur Rehman, M. Muneeb ; Evzelman, Michael ; Hathaway, Kelly ; Zane, Regan ; Plett, Gregory L. ; Smith, K. ; Wood, Eric ; Maksimovic, Dragan

  • Author_Institution
    ECE Dept., Utah State Univ., Logan, UT, USA
  • fYear
    2014
  • fDate
    14-18 Sept. 2014
  • Firstpage
    4327
  • Lastpage
    4334
  • Abstract
    Energy storage systems require battery cell balancing circuits to avoid divergence of cell state of charge (SOC). A modular approach based on distributed continuous cell-level control is presented that extends the balancing function to higher level pack performance objectives such as improving power capability and increasing pack lifetime. This is achieved by adding DC-DC converters in parallel with cells and using state estimation and control to autonomously bias individual cell SOC and SOC range, forcing healthier cells to be cycled deeper than weaker cells. The result is a pack with improved degradation characteristics and extended lifetime. The modular architecture and control concepts are developed and hardware results are demonstrated for a 91.2 Wh battery pack consisting of four series li-ion battery cells and four dual active bridge (DAB) bypass DC-DC converters.
  • Keywords
    DC-DC power convertors; bridge circuits; distributed control; energy storage; secondary cells; state estimation; DAB bypass DC-DC converter; Li-ion battery performance improvemnet; SOC divergence avoidance; battery cell balancing circuit; cell SOC control; cell state of charge divergence avoidance; degradation characteristics improvement; distributed continuous cell-level control; dual bridge bypass DC-DC converter; energy 91.2 Wh; energy storage system; modular approach; state estimation; Batteries; Computer architecture; DC-DC power converters; Mathematical model; Microprocessors; Resistance; System-on-chip;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Conversion Congress and Exposition (ECCE), 2014 IEEE
  • Conference_Location
    Pittsburgh, PA
  • Type

    conf

  • DOI
    10.1109/ECCE.2014.6953991
  • Filename
    6953991