Temperature Dependent Parameter Estimation of Electrical Vehicle Batteries
Parameter estimation of electrical vehicle batteries in the presence of temperature effect is addressed in this work. A simple parametric temperature dependent battery model is used for this purpose where the temperature dependence is described by static relationships. A two-stepmethod is used that includes a parameter estimation step of the key parameters at differenttemperatures followed by a static optimization step that determines the temperature coefficients of thecorresponding parameters. It was found that the temperature dependent parameter characteristicscan be reliably estimated from charging profiles only. The proposed method can be used as acomputationally effective way of determining the key battery parameters at a given temperature fromtheir actual estimated values and from their previously determined static temperature dependence.The proposed parameter estimation method was verified by simulation experiments on a morecomplex battery model that also describes the detailed dynamic thermal behavior of the battery.