Examples

This folder contains a collection of Jupyter notebooks that demonstrate how to use PyBaMM and reveal some of its functionalities and inner workings. The notebooks are organised into subfolders, and can be viewed in the galleries below.

Getting Started

Tutorial 1 - How to run a model

Tutorial 2 - Compare models

Tutorial 3 - Basic plotting

Tutorial 4 - Setting parameter values

Tutorial 5 - Run experiments

Tutorial 6 - Managing simulation outputs

Tutorial 7 - Model options

Tutorial 8 - Solver options

Tutorial 9 - Changing the mesh

Creating Models

Creating a simple ODE model

Creating a simple PDE model

A step towards the Single Particle Model

Comparing full and reduced-order models

A half cell model

Creating a Simple Model for SEI Growth

Setting up the model

Performance

Understanding the PyBaMM pipeline and performance profile of the Simulation class

Using Input Parameters to efficiently re-run simulations with different parameters

The PyBaMM Solvers

Interpolation and evaluation points

Solver tolerances

Defining output variables to reduce memory usage

Running many simulations in parallel using OpenMP

Expression Tree

The PyBaMM Pipeline

Broadcasts

Models

Comparison of PyBaMM and COMSOL Discharge Curves

Comparing with Experimental Data

Compare lithium-ion battery models

Compare particle diffusion models

A composite electrode particle model

Modelling coupled degradation mechanisms in PyBaMM

Differential Capacity Hysteresis State model

Doyle-Fuller-Newman Model with particle-size distributions

Doyle-Fuller-Newman Model (DFN)

Electrode State of Health

Simulating graded electrodes

Half-cell models in PyBaMM

Jelly roll model

Using latexify in PyBaMM

Lead-Acid Models

Modelling lithium plating in PyBaMM

Modelling lithium plating on composite electrodes in PyBaMM

Many Particle Model (MPM)

Multi-Species Multi-Reaction model

Pouch cell model

Generate rate capability plots

Saving PyBaMM models to file

Modelling SEI growth on particle cracks

Simulating a 3E cell

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

DFN model for sodium-ion batteries

Single Particle Model (SPM)

Single Particle Model with Electrolyte (SPMe)

Using crack submodels in PyBaMM

Loss of active material submodels

Thermal models

Transport efficiency and the models for tortuosity factor

Solving the heat equation in PyBaMM

Using model options in PyBaMM

Using submodels in PyBaMM

Test the parameter set of the Enertech cells

Parameterization

Changing the input current when solving PyBaMM models

Parameter Values

Parameterisation

Sensitivities and data fitting using PyBaMM

Using Battery Parameter eXchange (BPX) files

Optimizing geometric parameters

Simulations and Experiments

Callbacks

Custom experiments

Experiments with start_time

Degradation experiments with reference performance tests

Simulating long experiments

A step-by-step look at the Simulation class

Plotting

Customizing QuickPlot

Plot voltage components

Solvers

DAE solver

ODE solver

IDAKLU-JAX interface

Handling instability in non-smooth functions

Spatial Methods

Finite Volume Discretisation

Miscellaneous Notebooks

Comparisons using the BatchStudy class

Changing settings when solving PyBaMM models

Initializing a model

A look at solution data and processed variables

PyBaMM DataLoader