Mathematical modeling of aging factors for Li-ion battery cells

Battery´s aging could be characterized using four crucial parameters defined as the `aging factors´, which are: residual capacity, internal resistance, peak power and Open Circuit Voltage. A `black box´ modeling approach is used to estimate them in function of time and usage conditions. The model is based on regression linear or non-linear techniques applied to experimental data. The Multiple Linear Regression (RLM) method is proved to be efficient for the only OCV model, while Support Vector Machine (SVM) gives satisfying results for the four aging factors.