The GPR-based method produced reproducible and robust weights, which facilitates the use of DRT for the ECM parametrization with minimal or no user intervention. Thereby, advantage is being taken of the increased resolution of the DRT compared to the standard EIS spectrum without loss of information. Initially, the DRT was used to select a suitable ECM for the investigated button cell battery. Once established, the algorithm was demonstrated for the parametrization of this battery without manual adjustments. Robust ZARC parameters were obtained across the full range of charge states without obvious outliers while previously, ECM fit results of similar quality required manual adjustment of fit parameters and assumptions about the system based on sources other than the measured data. It has been shown that the stability and quality of ECM fits were improved by including this additional knowledge about the physical state of the measured system in the fitting process without introducing arbitrary assumptions.