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Understanding the effects of diffusion coefficient and exchange current density on the electrochemical model of lithium-ion batteries
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Title
Understanding the effects of diffusion coefficient and exchange current density on the electrochemical model of lithium-ion batteries
Issued Date
2022-08
Citation
Lee, Hyobin. (2022-08). Understanding the effects of diffusion coefficient and exchange current density on the electrochemical model of lithium-ion batteries. Current Opinion in Electrochemistry, 34. doi: 10.1016/j.coelec.2022.100986
Type
Article
Author Keywords
Electrochemical modelDiffusion coefficientExchange current densityGITTPITTEIS
Keywords
MATHEMATICAL-MODELTHIN-FILMCATHODIC PERFORMANCEIRON PHOSPHATEAGING MODELSIMULATIONSTATEELECTRODEINSERTIONDESIGN
ISSN
2451-9103
Abstract
The diffusion coefficient and exchange current density are the two dominant parameters that determine the electrochemical characteristics of the electrochemical battery model. Nevertheless, both parameter values are generally adopted from well-known literature or experimental data measured under limited conditions and are sometimes overfitted to match actual electrochemical behaviors without full consideration. Herein, the diffusion coefficients and exchange current densities of a LiNi0.4Mn0.3Co0.3O2/Li cell are measured and applied to the electrochemical model (based on Newman's model) using four different electrochemical methods: galvanostatic intermittent titration technique (GITT), potentiostatic intermittent titration technique (PITT), electrochemical impedance spectroscopy (EIS), and cyclic voltammetry (CV). Without any fitting, the model adopting the diffusion coefficient and exchange current density measured from PITT and EIS, respectively, simulates the actual voltage-capacity profiles well. Thus, this case study provides a valuable opportunity to understand the advantages and disadvantages of each measurement method in obtaining key experimental parameters for electrochemical battery models.
URI
http://hdl.handle.net/20.500.11750/16969
DOI
10.1016/j.coelec.2022.100986
Publisher
Elsevier
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