Journal article Open Access

Modeling of All-Solid-State thin-film Li-ion Batteries: accuracy improvement

Kazemi, N.; Danilov, D.; Haverkate, L.; Dudney, N.J.; Unnikrishnan, S.; Notten, H.L.


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{
  "DOI": "10.1016/j.ssi.2019.02.003", 
  "author": [
    {
      "family": "Kazemi, N."
    }, 
    {
      "family": "Danilov, D."
    }, 
    {
      "family": "Haverkate, L."
    }, 
    {
      "family": "Dudney, N.J."
    }, 
    {
      "family": "Unnikrishnan, S."
    }, 
    {
      "family": "Notten, H.L."
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2019, 
        2, 
        18
      ]
    ]
  }, 
  "abstract": "<p>Thin-film Solid-State Batteries (TFSSB) is one of most promising and quickly developing fields in modern electrochemical energy storage. Modeling these devices is<br>\ninteresting from theoretical and practical point of view. This paper represents a simulation approach for TFSSB which overcome a major drawback of available<br>\nmathematical models, i.e. decline in accuracy of the models at high current rates. A one-dimensional electrochemical model, including charge transfer kinetics on the<br>\nelectrolyte-electrode interface, diffusion and migration in electrolyte as well as diffusion in intercalation electrode has been developed and the simulation results are<br>\ncompared to experimental voltage-capacity measurements. A new definition of diffusion coefficient as a function of concentration, based on the experimental<br>\nmeasurements, 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<br>\nmA cm&minus;2. The models show that the cathode diffusion constant is a prime factor limiting the rate capability for TFSSB in particular for ultrafast charging applications.</p>", 
  "title": "Modeling of All-Solid-State thin-film Li-ion Batteries:  accuracy improvement", 
  "type": "article-journal", 
  "id": "2642487"
}
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