• DocumentCode
    261258
  • Title

    Reliable SOC estimation for battery powered embedded system

  • Author

    Johnsema, B. ; Janakiraman, K.

  • Author_Institution
    Embedded Syst., SASTRA Univ., Thanjavur, India
  • fYear
    2014
  • fDate
    27-28 Feb. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Lifetime constraint is the smallest mischance that could spell disaster to the entire embedded network. At most real time embedded devices are supported by battery backup. Low Battery life feeble the efficiency of the device, this may lead to catastrophe in hard real time. Hence lifetime constraint is considered as the significant issue in embedded device. This paper describes the solution for efficient lifetime. Battery management system is modeled by microcontroller to monitor and protect the battery pack. For safe working of the battery state of charge, SOC must be estimated. To improve the accuracy of the SOC, Kalman filter algorithm is implemented. Battery management microcontroller communicates with host microcontroller to update the battery backup and state of health of the battery system. By the information received, host microcontroller schedules the task accordingly such that no catastrophic occurs.
  • Keywords
    Kalman filters; battery management systems; embedded systems; estimation theory; power engineering computing; Kalman filter algorithm; battery management microcontroller; battery management system; battery powered embedded system; lifetime constraint; real time embedded devices; reliable SOC estimation; state of charge; Batteries; Estimation; Kalman filters; Microcontrollers; System-on-chip; Temperature measurement; Voltage measurement; Battery management; Kalman filter algorithm; Microcontroller; State Of Charge (SOC);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Communication and Embedded Systems (ICICES), 2014 International Conference on
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-4799-3835-3
  • Type

    conf

  • DOI
    10.1109/ICICES.2014.7034143
  • Filename
    7034143