• DocumentCode
    271274
  • Title

    An analytical battery state of health estimation method

  • Author

    Sarikurt, Turev ; Ceylan, Murat ; Balikçi, Abdulkadir

  • Author_Institution
    Dept. of Electron. Eng., Gebze Inst. of Technol., Gebze, Turkey
  • fYear
    2014
  • fDate
    1-4 June 2014
  • Firstpage
    1605
  • Lastpage
    1609
  • Abstract
    Decrease in state of health (SoH) of a battery is a measure of end of battery life. Also available battery capacity is dependent on battery life either. Thus accurate estimation of SoH and cycle number of a battery are very important. In this study a method was proposed in order to estimate battery cycle number using ECE 15 driving cycle. Also another method to obtain SoH of a battery using the cycle number is introduced. The results of both methods are compared with the outputs of an experimental setup.
  • Keywords
    secondary cells; analytical battery state of health estimation method; battery capacity; Aging; Analytical models; Batteries; Equations; Estimation; Integrated circuit modeling; Mathematical model; battery model; cycle number; lithium-ion battery; state of health (SoH);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics (ISIE), 2014 IEEE 23rd International Symposium on
  • Conference_Location
    Istanbul
  • Type

    conf

  • DOI
    10.1109/ISIE.2014.6864855
  • Filename
    6864855