SOC-Estimation-SPKF

This project helps in estimating SOC of cell using Sigma Point Kalman Filter (SPKF) and Enhanced Self Correcting (ESC) cell model

Cell Model

Enhanced Self Correcting (ESC) cell model is used to replicate the cell behaviour and the file "E2model" has all the values of the ESC model circuit

Loading data

The cell charge/discharge dynamic(DYN) data at different temperature is uploaded in the file named "E2_DYN_XXX", where XXX represent different temperatures

Loadmat

This part of the code helps in retrieving the stored cell data in the MAT folder to python dictionaries

MasterSPKF

The code act as a central spine in running the Sigma Point Kalman Filter (SPKF) algorithm for the provided data

InitializeSPFK

Helps in initializing the variables and the function is called by the MasterSPKF code

IterationSPKF

As the name suggest, this part of the code is called by MasterSPKF at every iteration to update the SOC estimate

OCVfromSOCtemp and SOCfromOCVtemp

This helper code gets the OCV (SOC) data from the available SOC (OCV) and temperature data