Improved Identifiability of Kinetic Parameters in Lithium‐Ion Batteries via Nonlinear Frequency Response Analysis
Source abstract
Abstract
Model parameterization is essential, on one side, to offer insights into the internal states of a Li‐ion battery, and on the other side, to deliver realistic predictions of the battery performance. Multistep parameterization, including the C‐rate test, electrochemical impedance spectroscopy, and for the first time, nonlinear frequency response analysis, has been implemented in this study. Via nonlinear frequency response analysis, an asymmetrical charge transfer process at the positive electrode is identified, whereby the charge transfer coefficient at the positive electrode is no longer 0.5, as assumed in many simulation works. Further, it is shown that nonlinear frequency response analysis in combination with electrochemical impedance spectroscopy can improve the uniqueness of the kinetic model parameters. Specifically, ambiguous sets of kinetic parameters, that is, rate constant and charge transfer coefficient, are identified via only electrochemical impedance spectroscopy. The ambiguity can be resolved with additional nonlinear frequency response analysis.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Battery Technologies Research · Advancements in Battery Materials · VLSI and Analog Circuit Testing
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Institute for Applied Materials – Electrochemical Technologies Karlsruhe Institute of Technology Adenauerring 20b 76131 Karlsruhe Germany
Funding
European Metrology Programme for Innovation and Research
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