Python version of Gregory Plett's ESCSPKF toolbox with a sigma-point Kalman filter (SPKF) cell SOC estimator. The original code is written in Matlab which is available in the ESCSPKF toolbox at mocha-java.uccs.edu/BMS2/.
The SPKF cell SOC estimator is the SPKF.py file, it loads plett_blend_np1_hys1_modeldyn.json, a 1RC Enhanced-self Correcting (ESC) model generated with the Gavin Wiggins Python version of Gregory Plett's enhanced self-correcting (ESC) model, available at github.com/batterysim/esctoolbox-python. The SPKF.py estimator also imports dynamic tests data files to test the 1RC ESC model and the funcs.py functions as modules.
See the comments in each file for more information.
Pending
Requires Python 3.6, Matplotlib, NumPy, and Pandas. The preferred method to install Python 3 and associated packages is with the Anaconda or Miniconda distribution available at continuum.io/downloads.
Clone or download the files to your local machine. Start iPython and run the SPKF.py file.