Joint application of EM FEM and Data-based Modelling for Detection of Small Defect Structures in Batteries

Georg Gramse

Johannes Kepler University, Austria

Bio

Dr. Georg Gramse is Scientific Researcher at Keysight Technologes and group leader of the Nanoelectronics group at Johannes Kepler University Linz. He studied Physics at Freie University Berlin and Nanotechnology at University of Barcelona. He received his PhD in Nanoscience at the University of Barcelona and IBEC and has a strong expertise in electrical metrology at the nanoscale based on scanning probe microscopy and other characterization techniques. He developed new electrical measurement techniques/ methods and applied them to solve open research questions in various fields like Biophysics, Electrochemistry, Material Science and Semiconductor-Physics. The special technological emphasis on broad frequency and high speed electrical measurements at the nanoscale is combined with the development of accurate and numerical quantification procedures based on finite element modelling.

Georg Gramse was involved in many collaborations with university, industry partners (IBM, Infineon, AMS) and metrology institutions (NPL, NIST, METAS).

Abstract

Joint Application of EM FEM and Data-based Modelling for Detection of Small Defect Structures in Batteries

Lithium-ion batteries (LIBs) are currently the most relevant energy storage solution for a wide field of applications starting from mobile communication and going to high power applications in electric vehicles. Reliable production of the batteries requires measurement techniques and electrochemical models capable to assess possible failures in the production process. Here we will discuss two approaches for LIB quality inspection based on the measurements of the DC self-discharge current and the electrochemical impedance spectroscopy combined - both compared to the respective modelling.
To assess the quality of a LIB either during production or in post-production, its self- discharge rate is an important parameter. Here we present both precise potentiostatic self-discharge measurements (SDMs) on commercial LIBs, and modelling of the SDM which includes the electrochemical processes that are coupled with a 3D temperature FEM and an electric circuit model of the cell self-discharge [1]. Our modelling results in a good overlap with the experimental results and allows us to extract a quantitative value of the LIB self-discharge resistance. Furthermore, we tested a realistic physical self-discharge scenario of the formation of Lithium dendrites by comparing experimental and modelled self-discharge resistance values.
Finally, a short overview of our current work on Electrochemical Impedance Spectroscopy (EIS) for following battery’s aging processes will be presented [2]. EIS is a potentialnon-destructive method for characterizing and modelling the dynamic behaviour of electrochemical systems such as batteries. We combine this technique with microscopic and nanoscopic measurements to establish and validate our electrical finite element models of the complex and highly parametrized model of a LIB.

EMMC2021-S03-Gramse-Abstract

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