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Modeling of all-solid-state thin-film Li-ion batteries: Accuracy improvement

Journal Article · · Solid State Ionics
 [1];  [2];  [1];  [3];  [1];  [4]
  1. Holst Centre/TNO, Eindhoven (The Netherlands)
  2. Eindhoven Univ. of Technology, Eindhoven (The Netherlands); Forschungszentrum Julich (IEK-9), Julich (Germany)
  3. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  4. Eindhoven Univ. of Technology, Eindhoven (The Netherlands); Forschungszentrum Julich (IEK-9), Julich (Germany); Univ. of Technology Sydney, Sydney, NSW (Australia)

Thin-film Solid-State Batteries (TFSSB) is one of most promising and quickly developing fields in modern electrochemical energy storage. Modeling these devices is interesting from theoretical and practical point of view. This paper represents a simulation approach for TFSSB which overcome a major drawback of available mathematical models, i.e. decline in accuracy of the models at high current rates. A one-dimensional electrochemical model, including charge transfer kinetics on the electrolyte-electrode interface, diffusion and migration in electrolyte as well as diffusion in intercalation electrode has been developed and the simulation results are compared to experimental voltage-capacity measurements. A new definition of diffusion coefficient as a function of concentration, based on the experimental measurements, is used to improve the performance of the model. The simulation results fit the available experimental data at low and high discharge currents up to 5 mA cm-2. As a result, the models show that the cathode diffusion constant is a prime factor limiting the rate capability for TFSSB in particular for ultrafast charging applications.

Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
Grant/Contract Number:
AC05-00OR22725
OSTI ID:
1507854
Journal Information:
Solid State Ionics, Journal Name: Solid State Ionics Journal Issue: C Vol. 334; ISSN 0167-2738
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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Cited By (1)

Experimental and numerical analysis to identify the performance limiting mechanisms in solid-state lithium cells under pulse operating conditions journal January 2019

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