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Kazemi, N., Danilov, D.L., Haverkate, L., Dudney, N.J., Unnikrishnan, S. and Notten, P.H.L. (2019) Modeling of All-Solid-State Thin-Film Li-Ion Batteries: Accuracy Improvement. Solid State Ionics, 334, 111-116.
https://doi.org/10.1016/j.ssi.2019.02.003

has been cited by the following article:

• TITLE: A Hybrid Backward Euler Control Volume Method to Solve the Concentration-Dependent Solid-State Diffusion Problem in Battery Modeling

  AUTHORS: Kudakwashe Chayambuka, Grietus Mulder, Dmitri L. Danilov, Peter H. L. Notten

  KEYWORDS: Solid-State Diffusion, Implicit Methods, Backward Euler

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.8 No.6, June 5, 2020

  ABSTRACT: Several efficient analytical methods have been developed to solve the solid-state diffusion problem, for constant diffusion coefficient problems. However, these methods cannot be applied for concentration-dependent diffusion coefficient problems and numerical methods are used instead. Herein, grid-based numerical methods derived from the control volume discretization are presented to resolve the characteristic nonlinear system of partial differential equations. A novel hybrid backward Euler control volume (HBECV) method is presented which requires only one iteration to reach an implicit solution. The HBECV results are shown to be stable and accurate for a moderate number of grid points. The computational speed and accuracy of the HBECV, justify its use in battery simulations, in which the solid-state diffusion coefficient is a strong function of the concentration.