PyBaMM EIS

PyBaMM EIS rapidly calculates the electrochemical impedance of any battery model defined using PyBaMM, see the documentation

🔋 Using PyBaMM EIS

The easiest way to use PyBaMM EIS is to compute the impedance of a model of your choice with the default parameters:

import pybammeis
import pybamm
import numpy as np

# DFN with capacitance
model = pybamm.lithium_ion.DFN(options={"surface form": "differential"})
eis_sim = pybammeis.EISSimulation(model)
# calculate impedance at log-spaced frequencies
eis_sim.solve(np.logspace(-4, 4, 30))
eis_sim.nyquist_plot()

💻 About PyBaMM

The example simulations use the package PyBaMM (Python Battery Mathematical Modelling). PyBaMM is an open-source battery simulation package written in Python. Our mission is to accelerate battery modelling research by providing open-source tools for multi-institutional, interdisciplinary collaboration. Broadly, PyBaMM consists of (i) a framework for writing and solving systems of differential equations, (ii) a library of battery models and parameters, and (iii) specialized tools for simulating battery-specific experiments and visualizing the results. Together, these enable flexible model definitions and fast battery simulations, allowing users to explore the effect of different battery designs and modeling assumptions under a variety of operating scenarios.

🚀 Installation

In order to run the notebooks in this repository you will need to install the pybamm-eis package. We recommend installing within a virtual environment in order to not alter any python distribution files on your machine.

PyBaMM is available on GNU/Linux, MacOS and Windows. For more detailed instructions on how to install PyBaMM, see the PyBaMM documentation.

Linux/Mac OS

To install the requirements on Linux/Mac OS use the following terminal commands:

Clone the repository

git clone https://github.com/pybamm-team/pybamm-eis

Change into the pybamm-eis directory
```
cd pybamm-eis
```
Create a virtual environment
```
virtualenv env
```
Activate the virtual environment
```
source env/bin/activate
```
Install the pybammeis package
```
pip install .
```

Windows

To install the requirements on Windows use the following commands:

Clone the repository

git clone https://github.com/pybamm-team/pybamm-eis

Change into the pybamm-eis directory
```
cd pybamm-eis
```
Create a virtual environment
```
python -m virtualenv env
```
Activate the virtual environment
```
\path\to\env\Scripts\activate
```
where \path\to\env is the path to the environment created in step 3 (e.g. C:\Users\'Username'\env\Scripts\activate.bat).
Install the pybammeis package
```
pip install .
```

As an alternative, you can set up Windows Subsystem for Linux. This allows you to run a full Linux distribution within Windows.

Developer

To install as a developer follow the instructions above, replacing the final step with

pip install -e .

This will allow you to edit the code locally.

📖 Documentation

API documentation for the pybammeis package can be built locally using Sphinx. To build the documentation, first change into the docs directory, and then execute the following command:

make html

This will generate a number of html files in the docs/_build/html directory. To view the documentation, open the file docs/_build/html/index.html in a web browser.

🛠️ Contributing to PyBaMM

If you'd like to help us develop PyBaMM by adding new methods, writing documentation, or fixing embarrassing bugs, please have a look at these guidelines first.

🎉 Acknowledgments

This code was developed as part of the Oxford Mathematics Summer Project "Efficient Linear Algebra Methods to Determine Li-ion Battery Behaviour".

Student: Rishit Dhoot Supervisors: Prof Colin Please and Dr. Robert Timms

📫 Get in touch

For any questions, comments, suggestions or bug reports, please see the contact page.

📃 License

pybamm-eis is fully open source. For more information about its license, see LICENSE.

pybamm-team / pybamm-eis

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