breathe-design 1.2.0

A Python library for interating with the Breathe Design api and analyzing and visualizing Breathe Design data

Breathe Design

A python based api wrapper for running the breathe design model.

Installation steps

In a new project or existing project

In the virtual environment in your new or existing project, simply install breathe_design with

pip install breathe_design

Using this repo

If you want to work with the examples in this repo, follow these steps...

• Open your terminal or command prompt.

• Navigate to the directory or create new one where you want to setup.

• Run the following command to clone our GitHub repository.

  git clone https://github.com/BreatheBatteries/breathe_design.git .
  

To set up everything in one go, just run .\setupEnvironment.ps1

Alternatively, run following command to create the virtual environment:

python -m venv myvenv

Replace myvenv with the desired name for your virtual environment.

• Activate the virtual environment:

  • On Windows:

    myvenv\Scripts\activate
    

  • On macOS/Linux:

    source myvenv/bin/activate
    

  After activating the virtual environment, you'll see (myenv) in your terminal prompt to indicate that the environment is active.

• Install the breathe_design package in the virtual environment:

  pip install breathe_design
  

Running the models

The app requires a connection to our server for which you must log in to receive an api key. Once logged in you can fetch the batteies in your library.

from breathe_design import api_interface as api
batteries = api.get_batteries()
print(batteries)

Access the base parameters for your battery

base_params = api.get_design_parameters("Molicel P45B")
print(base_params)

See the equilibrium KPIs and there sensitivities to changes in the base parameters

eqm_kpis, fig = api.get_eqm_kpis("Molicel P45B")
print(eqm_kpis)
fig.show()

Add any number of new designs

designs = [
    {
      "designName": "Lower NP",
      "NPratio": base_params["NPratio"]*0.95
    },
    {
      "designName": "Higher Vmax",
      "Vmax_V": base_params["Vmax_V"]+0.05
    },
    {
      "designName": "Thicker Cathode",
      "cathodeThickness_um": base_params["cathodeThickness_um"]*1.05
    },
    {
      "designName": "Less Porous Anode",
      "anodePorosity": base_params["anodePorosity"]*0.95
    },
    {
      "designName": "Thinner Separator",
      "separatorThickness_um": base_params["separatorThickness_um"]*0.95
    },
  ]

Recompute the KPIs

eqm_kpis, fig = api.get_eqm_kpis("Molicel P45B", designs)
print(eqm_kpis)

Plot the KPIs for all designs relative or delta with the baseline

from breathe_design import plot_kpis
plot_kpis(eqm_kpis, "relative")
plot_kpis(eqm_kpis, "delta")

Perform dynamic analysis for your designs

from breathe_design import Cycler
from breathe_design import plot_dynamic_kpis
from breathe_design import extract_dynamic_kpis

baseline_capacity = eqm_kpis.loc["Capacity [Ah]", "Baseline"]
cycler = Cycler(selected_unit="C", cell_capacity=baseline_capacity)
cycler_input = cycler.cccv(1.0, -1.0, 0.01, 4.2, 2.6, 60.0, 60.0)
output = api.run_sim(
    base_battery="Molicel P45B",
    cycler=cycler.cccv(1.0, -1.0, 0.01, 4.2, 2.6, 60.0, 60.0),
    designs=designs,
    initialSoC=0.5,
    initialTemperature_degC=21.0,
    ambientTemperature_degC=21.0
    )
plot_dynamic_kpis(output["dynamicData"])

Let's now try changing the form factor

base_format = api.get_battery_format("Molicel P45B")
smaller_format = base_format.copy()
smaller_format["name"] = "Smaller Format"
smaller_format["height_mm"] = 0.9 * base_format["height_mm"]
thinner_format = base_format.copy()
thinner_format["name"] = "Thinner Format"
thinner_format["diameter_mm"] = 0.9 * base_format["diameter_mm"]
formats = [smaller_format, thinner_format]
eqm_kpis, fig = api.get_eqm_kpis("Molicel P45B", designs=[], formats=formats)
eqm_kpis

Examples

Check out the python notebooks in docs/examples for how to use the api.