Li-Ion Battery Parameter Identification Using Pseudo Random Noise

This paper identifies the battery parameters using direct assessment approach in which impedance spectroscopy is considered to find parameters. This technique uses Randles' equivalent battery model in Simscape MATLAB, Battery parameters including series resistance, charge transfer resistance and double layer capacitance are found through Electrochemical Impedance spectroscopy. Input current is fed as square charging and discharging pulses. Battery has dynamic behavior in which all parameters in a battery tends to change with temperature and its operating conditions, that change in parameters predict a battery's life and other characteristics.