Title of article :
Online estimation of the state of charge of a lithium ion cell
Author/Authors :
Shriram Santhanagopalan، نويسنده , , Ralph E. White، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2006
Abstract :
A procedure to predict the state of charge of a lithium ion cell using experimental data (cell potential versus time), as it becomes available, is presented. The procedure is based on the physics of the system and provides a realistic estimate of the state of charge of the cell as a function of time, for a given set of properties of the electrodes. An electrochemical cell model is used to obtain an extended Kalman filter (EKF) for estimating the state of charge (SOC) of a lithium ion cell in which the negative electrode is the limiting electrode. The method could also be used for a cell in which the positive electrode is limiting.
Keywords :
State of charge , online , Lithium ion battery , parameter estimation , Extended Kalman filter
Journal title :
Journal of Power Sources
Journal title :
Journal of Power Sources