Impedance spectroscopy is successfully used in laboratory environments where all necessary steps are performed by specialists. Requirements for fully automated measurement systems are more sophisticated. This paper discusses aspects for implementing impedance spectroscopy within fully automated measurement systems based on the example of battery diagnosis. It focuses on consistency check of measurement data by applying Kramers-Kronig Transform, design of impedance models and design of the optimization problem. Eliminating ambiguity and standardization of impedance models allows comparing relevant parameters of models for fundamental mechanisms. An automated model parameter optimization is supported by using different models for each frequency band with its dominating mechanisms. Frequency bands are determined from characteristical patterns within measurement data.
Print ISSN: 0171-8096
Volume: 73, 07/2006
Pages: 393 - 403