Title :
Online Estimation of State of Charge in Li-Ion Batteries Using Impulse Response Concept
Author :
Ranjbar, Amir Hossein ; Banaei, Anahita ; Khoobroo, Amir ; Fahimi, Babak
Author_Institution :
Univ. of Texas at Dallas, Richardson, TX, USA
fDate :
3/1/2012 12:00:00 AM
Abstract :
Lithium-ion batteries exhibit high levels of energy and power density among electrochemical batteries. These attributes make them suitable as the energy storage system in electric, hybrid electric vehicle, and plug-in vehicles (EV/HEV/PHEV). One of the important requirements in automotive batteries is to monitor their real time state-of-charge (SOC) and state-of-health (SOH). Open circuit voltage, as one parameter used for predicting the SOC in the battery, is not readily available during charge and discharge cycles. In this paper a new method for prediction of the terminal voltage in li-ion batteries based on the impulse response concept has been proposed. By obtaining the impulse response of the li-ion battery, one can use the terminal current to predict the output voltage of the battery. Online comparison of the predicted and measured terminal voltage provides a tool for online monitoring of the SOH and SOC.
Keywords :
battery powered vehicles; secondary cells; transient response; Li; Li-ion battery; automotive battery; discharge cycle; electrochemical battery; energy density; energy storage system; hybrid electric vehicle; impulse response concept; online estimation; open circuit voltage; plug-in vehicle; power density; real time state-of-charge; state-of-health; terminal voltage prediction; Autoregressive processes; Batteries; Battery charge measurement; Current measurement; Integrated circuit modeling; System-on-a-chip; Voltage measurement; Impulse response; li-ion battery; state-of-charge (SOC);
Journal_Title :
Smart Grid, IEEE Transactions on
DOI :
10.1109/TSG.2011.2169818