• DocumentCode
    3682414
  • Title

    Techniques for monitoring and predicting the OCV for VRLA battery systems

  • Author

    Alessandro Mariani;Kary Thanapalan;Peter Stevenson;Thomas Stockley;Jonathan Williams

  • Author_Institution
    Centre for Automotive and Power Systems Engineering (CAPSE) University of South Wales, Pontypridd CF37 1DL, UK
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper provides a simple and advanced technique to monitor and predict the state of health (SOH) and the open circuit voltage (OCV) for valve regulated lead acid (VRLA) battery cells. The underlying principal of the technique described in this paper employs a mathematical model that can simulate different pore geometries shape and a simple equation to predict the equilibrated cell voltage after a small rest period. The technique was tested and analyzed using results obtained from experiments conducted at the Yuasa Battery laboratories. Lead-acid battery system analysis was carried out with reference to the standard battery system models available in the literature. The results indicate that by using this technique, appreciable benefits can be accrued and it is possible to maintain high standard products in safe operating conditions.
  • Keywords
    "Batteries","Mathematical model","Discharges (electric)","Lead","Electrodes","Geometry","Voltage measurement"
  • Publisher
    ieee
  • Conference_Titel
    Automation and Computing (ICAC), 2015 21st International Conference on
  • Type

    conf

  • DOI
    10.1109/IConAC.2015.7313982
  • Filename
    7313982