# Battery-Kalman

**Repository Path**: ivanlee1997/Battery-Kalman

## Basic Information

- **Project Name**: Battery-Kalman
- **Description**: A simple and naive battery modelisation + Kalman filter for state of charge (SoC) estimation 
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-09-16
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

A simple and naive battery modelisation + Kalman filter for state of charge (SoC) estimation

# Python implementation
The "Python" folder contain a python3 implementation of an extended Kalman filter for state of charge (SoC) estimation of a simulated lithium battery. The model used for the battery is a simple Thevenin model.


To run it just launch:
```sh
$> python3 Python/main.py
```

A CC/CV charge and a pulse discharge will be simulated. Then a graph will be displayed showing simulation results. You can play around with the capacity and Thevenin model values in Python/main.py. The charge/discharge protocol can also be changed, values are found in Python/protocol.py.

## Dependencies:
    - python3
    - numpy
    - matplotlib