• DocumentCode
    2016213
  • Title

    Online spectroscopic diagnostics implemented in an efficient battery management system

  • Author

    Din, Eric ; Schaef, Christopher ; Moffat, Keith ; Stauth, Jason T.

  • Author_Institution
    Thayer School of Engineering, Dartmouth College, 14 Engineering Drive Hanover, NH 03755
  • fYear
    2015
  • fDate
    12-15 July 2015
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Electrochemical energy storage is critical for a range of applications spanning electrified transportation and grid energy storage, and there is a need to further improve both the active management and diagnostic capability of current battery management systems (BMS). This work presents an efficient power converter (based on the switched-inductor ladder topology), instrumentation, and an embedded control platform that can provide both active balancing and real-time diagnostic capability through electrochemical impedance spectroscopy (EIS). Cell-level diagnostics allow for non-invasive measurement of physical electrochemical battery properties that can be used to assess state of charge (SOC) and state of health (SOH). A single stage of the converter was implemented on a printed circuit board, and testing on Panasonic 18650 Li-ion battery cells was performed. Experimentation results showed efficient cell balancing, and validation against the state of the art confirmed accurate impedance measurement.
  • Keywords
    Batteries; Battery charge measurement; Current measurement; Impedance; Inductors; Instruments; System-on-chip;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Modeling for Power Electronics (COMPEL), 2015 IEEE 16th Workshop on
  • Conference_Location
    Vancouver, BC, Canada
  • Type

    conf

  • DOI
    10.1109/COMPEL.2015.7236518
  • Filename
    7236518