The present invention relates to a method for the optimized
simulation of a characteristic of a
battery cell, containing a method for determining a varying
internal resistance (RG) of a
battery cell, in which method an electrochemical impedance
spectroscopy is measured on the
battery cell and an
internal resistance (RG) of the battery
cell is determined from a difference between a value of the locus curve with respect to a high-frequency
measurement point (MPH) and a value of the locus curve with respect to a low-frequency
measurement point (MPN) on the real-value axis (RE) of the
Nyquist plot. In the further steps, a characteristic of the battery
cell is simulated, comprising at least one output parameter from a simulated
voltage (US), a simulated temperature (TS), a simulated
state of charge (SOC) and a power limit, on the basis of a battery
cell model (BM) according to input parameters comprising at least the previously measured current (I) and the previously measured temperature (TM). The simulated output parameter of the
state of charge (SOC) is corrected on the basis of a predictive
filter algorithm according to the measured
voltage (UM) and the simulated
voltage (US). Finally, to optimize the battery
cell model (BM), a stored
model parameter of the
internal resistance (RG) is updated using a value which has been determined by the method for determining a varying internal resistance (RG) of a battery cell.