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Run simulations with O’Regan 2022 parameter set (LG M50)#

In this notebook we show an example on how to run the DFN model with the O’Regan 2022 parameter set for the LG M50 cell. Because of the concentration dependent diffusion coefficient, we need to customise the mesh so the simulations converge.

[1]:

%pip install "pybamm[plot,cite]" -q    # install PyBaMM if it is not installed
import pybamm

Note: you may need to restart the kernel to use updated packages.

We first initialise the model and define the parameter set and the solver:

[2]:

# DFN + lumped thermal
options = {"thermal": "lumped", "dimensionality": 0, "cell geometry": "arbitrary"}
model = pybamm.lithium_ion.DFN(options=options)

# O'Regan 2022 parameter set
param = pybamm.ParameterValues("ORegan2022")

# Choose CasADI fast (we do a short discharge so there are no events, if events are needed choose "fast with events")
solver = pybamm.CasadiSolver(mode="fast")

Now we define the new mesh. Because the particle diffusivity depends on concentration and get drop very abruptly, we set a fine mesh (40 points in each particle). Additionally, given that the larger gradients occur towards the particle surface, we choose an exponential mesh weighted towards the right (i.e. the particle surface). This generates a non-uniform mesh with a finer grid towards the particle surface and a coarser grid towards the particle centre.

[3]:

var_pts = {"x_n": 30, "x_s": 30, "x_p": 30, "r_n": 40, "r_p": 40}

submesh_types = model.default_submesh_types
submesh_types["negative particle"] = pybamm.MeshGenerator(
    pybamm.Exponential1DSubMesh, submesh_params={"side": "right"}
)
submesh_types["positive particle"] = pybamm.MeshGenerator(
    pybamm.Exponential1DSubMesh, submesh_params={"side": "right"}
)

# Define the simulation
sim = pybamm.Simulation(
    model,
    parameter_values=param,
    C_rate=1,
    solver=solver,
    var_pts=var_pts,
    submesh_types=submesh_types,
)

Finally, we can solve the simulation and plot the results. Note that because the nonlinear diffusion and the fine mesh, if we want to solve for longer time, such as full discharge or other experiments, the simulations might take a few minutes to run.

[4]:

sim.solve([0, 10])    # solving time kept short for testing purposes, feel free to extend it
sim.plot()

[4]:

<pybamm.plotting.quick_plot.QuickPlot at 0x7fe0c1824eb0>

[5]:

pybamm.print_citations()

[1] Joel A. E. Andersson, Joris Gillis, Greg Horn, James B. Rawlings, and Moritz Diehl. CasADi – A software framework for nonlinear optimization and optimal control. Mathematical Programming Computation, 11(1):1–36, 2019. doi:10.1007/s12532-018-0139-4.
[2] Chang-Hui Chen, Ferran Brosa Planella, Kieran O'Regan, Dominika Gastol, W. Dhammika Widanage, and Emma Kendrick. Development of Experimental Techniques for Parameterization of Multi-scale Lithium-ion Battery Models. Journal of The Electrochemical Society, 167(8):080534, 2020. doi:10.1149/1945-7111/ab9050.
[3] Marc Doyle, Thomas F. Fuller, and John Newman. Modeling of galvanostatic charge and discharge of the lithium/polymer/insertion cell. Journal of the Electrochemical society, 140(6):1526–1533, 1993. doi:10.1149/1.2221597.
[4] Charles R. Harris, K. Jarrod Millman, Stéfan J. van der Walt, Ralf Gommers, Pauli Virtanen, David Cournapeau, Eric Wieser, Julian Taylor, Sebastian Berg, Nathaniel J. Smith, and others. Array programming with NumPy. Nature, 585(7825):357–362, 2020. doi:10.1038/s41586-020-2649-2.
[5] Kieran O'Regan, Ferran Brosa Planella, W. Dhammika Widanage, and Emma Kendrick. Thermal-electrochemical parametrisation of a lithium-ion battery: mapping Li concentration and temperature dependencies. Journal of The Electrochemical Society, ():, 2021. doi:.
[6] Valentin Sulzer, Scott G. Marquis, Robert Timms, Martin Robinson, and S. Jon Chapman. Python Battery Mathematical Modelling (PyBaMM). Journal of Open Research Software, 9(1):14, 2021. doi:10.5334/jors.309.
[7] Robert Timms, Scott G Marquis, Valentin Sulzer, Colin P. Please, and S Jonathan Chapman. Asymptotic Reduction of a Lithium-ion Pouch Cell Model. SIAM Journal on Applied Mathematics, 81(3):765–788, 2021. doi:10.1137/20M1336898.