Skip to main content

A Python package for equivalent circuit models

Project description

Equivalent circuit model

This repository contains Python code for running an equivalent circuit model (ECM) developed for a 2013 Nissan Leaf battery cell and module. The ecm package contains source code for the equivalent circuit model while the examples folder provides scripts for running the ECM for a battery cell, module, and pack. Model parameters are determined from hybrid pulse power characterization (HPPC) and discharge tests conducted at ORNL. The battery cell and module specifications were provided by NREL.

Installation

The Anaconda or Miniconda distribution of Python 3 is recommended for this project. The ecm package requires Matplotlib, NumPy, Pandas, and SciPy.

The simplest way to install the ECM package is with pip. This can be done from within the equiv-circ-model directory:

# Install the ecm package
pip install -e .

A requirements file is provided for running the ECM in a virtual environment using pip:

# Create a new virtual environment
python -m venv env

# Activate the environment
source env/bin/activate

# Install packages needed for the ECM
pip install -r requirements.txt

# From within equiv-circ-model directory, install the ecm package
pip install -e .

# Deactivate the environment
deactivate

# Remove the environment by deleting the `env` folder

An environment yaml file is also provided for running the ECM in a conda environment:

# Create a new conda environment and install packages needed for the ECM
conda env create -f environment.yml

# Activate the environment
conda activate ecm

# From within equiv-circ-model directory, install the ecm package
pip install -e .

# Deactivate the environment
conda deactivate

# Remove the environment and its installed packages
conda env remove -n ecm

Usage

Examples of using the ecm package are provided in the examples folder. Examples are organized into subfolders for battery cell and battery module models. From within the subfolder, each script can be run from the command line such as:

# View plots of the battery cell HPPC data
cd ~/equiv-circ-model/examples/cell
python view_hppc_data.py

# Run the ECM for a battery cell and compare to HPPC battery cell data
cd ~/equiv-circ-model/examples/cell
python hppc_vt.py

Project structure

ecm - Python package containing source code for the equivalent circuit model (ECM).

examples/cell - Example scripts for running the battery cell ECM.

examples/cell-to-module - Examples of using a cell model to predict a battery module.

examples/cell-to-pack - Examples of using a cell model to predict a battery pack.

examples/data - Data files from 2013 Nissan Leaf battery cell and module tests. This data is used for developing and validating the ECM.

examples/module - Example scripts for running a battery module ECM.

examples/module-to-pack - Examples of using a module model to predict a battery pack.

Contributing

Comments, suggestions, and other feedback can be submitted on the Issues page.

License

This code is available under the MIT License - see the LICENSE file for more information.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ecm_thinkclock-20.3.tar.gz (12.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ecm_thinkclock-20.3-py3-none-any.whl (17.3 kB view details)

Uploaded Python 3

File details

Details for the file ecm_thinkclock-20.3.tar.gz.

File metadata

  • Download URL: ecm_thinkclock-20.3.tar.gz
  • Upload date:
  • Size: 12.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.8.9

File hashes

Hashes for ecm_thinkclock-20.3.tar.gz
Algorithm Hash digest
SHA256 2f5b35d16d0a2478264548d2ec34af65c5a93ccfe90ac875c5ed6a579a26de19
MD5 d0d9c7e88c719cad1c0a05e5201aab8a
BLAKE2b-256 030e6ff1ec9db49f3011a3801374ca02af451e766367ca74b4990aa8aa746595

See more details on using hashes here.

File details

Details for the file ecm_thinkclock-20.3-py3-none-any.whl.

File metadata

  • Download URL: ecm_thinkclock-20.3-py3-none-any.whl
  • Upload date:
  • Size: 17.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.8.9

File hashes

Hashes for ecm_thinkclock-20.3-py3-none-any.whl
Algorithm Hash digest
SHA256 c2fa684f63292229fa9cc03d1c0209db650c880246b37318f0b030889b51c8e7
MD5 48d85d2b687c22a7d0c4564b32ea47c4
BLAKE2b-256 ec46cbe30ec8310ca0012fda37b870876e778eef89b40cf90cfa378918e4ce13

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page