• DocumentCode
    1776286
  • Title

    Towards scalable monitoring and maintenance of rechargeable batteries

  • Author

    Mills, A. ; Zambreno, Joseph

  • Author_Institution
    Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA
  • fYear
    2014
  • fDate
    5-7 June 2014
  • Firstpage
    624
  • Lastpage
    629
  • Abstract
    Current research on State-of-Charge (SOC) tracking for rechargeable batteries focuses primarily on analyzing batteries consisting of a single cell, or otherwise treat a set of series-connected cells as a homogeneous unit. Yet, as the number of series-connected cells per battery increase, so does the challenge of ensuring safe and efficient operation over a potentially long period of deployment. Cell-level energy balancing is commonly proposed as a means to address the effects of cell property mismatch. However, no comprehensive solution exists addressing the need to maintain SOC accuracy over the full life of a large battery, while also managing the energy imbalance which develops between cells. If poorly managed, this imbalance can reduce usable capacity and lifespan. This paper proposes an integrated solution to these various issues by tracking SOC on a per-cell basis and applying SOC to a cell-balancing application. The effectiveness is demonstrated using a custom test platform.
  • Keywords
    maintenance engineering; secondary cells; cell level energy balancing; rechargeable batteries; scalable monitoring; state of charge tracking; Batteries; Computer architecture; Kalman filters; Load modeling; Mathematical model; Microprocessors; System-on-chip;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electro/Information Technology (EIT), 2014 IEEE International Conference on
  • Conference_Location
    Milwaukee, WI
  • Type

    conf

  • DOI
    10.1109/EIT.2014.6871837
  • Filename
    6871837