The state of charge (SoC) of a lithium-ion battery is a crucial parameter for its efficient use, yet it cannot be measured directly. For this reason, battery models based on equivalent electrical circuits have been developed to simulate the internal behavior of the battery. To accurately reflect the battery’s response to current variations, these models require precise parameterization of their electrical components. Proper parameterization ensures that the components capture the complex electrochemical processes occurring within the battery. In this thesis, we evaluated how effectively different current profile shapes enable optimal parameterization of a DP (dual-polarization) battery model. We conducted experimental measurements by applying various current profiles to a lithium-ion battery and recording its voltage response. The acquired data was then used for model parameterization, and the resulting parameters were applied in a validation simulation to assess performance. The results showed that the most accurate parameters were obtained using square-wave current profiles, especially those with rest periods between current pulses.
|
