Dr. Ferry Kienberger is Keysight Austria Country Manager and Keysight Labs Linz Group leader on battery science. Prior to this he was Scientist at Agilent Technologies working on nanotechnology.
His University education includes a PhD in 2002 on Technical Physics and the Habilitation in Nanotechnology at JKU Linz in 2019.
The scientific track record includes 120+ scientific peer reviewed publications (including Nature Publishing Group, AAAS Science, PNAS USA, and IEEE Transactions) with an H-factor 39 and 5000 citations; he supervised 10 PhD theses.
He was lead partner in 15+ EU projects for Keysight and Agilent, 7 national projects, 2 international projects (Economic Development Board EDB Singapore), and 3 EMPIR metrology EU projects. He serves as a vice-chair for the EU H2020 program and is a former member of OECD BIAC (Business and industry advisory council) for Nanotechnology.
Development of Li-ion Battery Models from Electrochemical Impedance Spectroscopy Data
The reliable electrical testing and diagnostic evaluation of battery cells, modules, and packs is currently an important task in industrial automotive manufacturing and in battery field tests. Here we present how calibrated and accurate experimental data acquisition is combined with electrochemical modeling for robust data interpretation. The combined electrochemical impedance spectroscopy (EIS) measurement hardware, calibration procedure, and modeling software allows for the analysis of different cell form factors and power levels. We show how EIS output data is used as input data to modeling algorithms to extract the equivalent electrical circuit parameters of the cell. The resulting model is amenable to electro-chemical interpretation and provides a compact representation of the detailed performance characteristics of the cell, relevant for evaluating the SoH (State of Health) and second life applications of cells, modules, and packs. A standard operating procedure (SOP) is provided for EIS focusing on metrological evaluation of accuracy and error sources for low impedance battery measurements. This is developed in ongoing EU research projects (e.g. NanoBat) and evaluated in round-robin tests together with OEMs and national metrology institutes. Accurate experimental workflows, metrological measurements, and modeling are brought together for robust industrial use cases, for instance in battery manufacturing Gigafactories.
