/soc-estimation-of-li-ion-batteries

State of Charge Estimation of Li-ion Batteries using Extended Kalman Filter

Primary LanguageJupyter NotebookMIT LicenseMIT

State of Charge Estimation of Li-ion Batteries using Extended Kalman Filter

Open Source Datasets Used

LG 18650HG2

  • Kollmeyer, Phillip; Vidal, Carlos; Naguib Mina; Skells, Michael (2020), “LG 18650HG2 Li-ion Battery Data and Example Deep Neural Network xEV SOC Estimator Script”, Mendeley Data, V3, doi: 10.17632/cp3473x7xv.3

Battery Models Used

RC2 model:

  • rc2
r0 r1 r2 tau1 tau2
0.019414 0.014601 0.656103 19.860964 54272.69185
  • Some model shortcomings:
    • One cell parameter set is used for the entire SOC range.
    • There is no hysteresis component in this model, thus Irc1 compensates for this.
    • SOC values drift from true values due to the above as well.

OCV-SOC curve and cell modelling

Kalman Filter plots

  • soc
  • voltage
  • irc
  • sigma
  • innovation
  • docvsoc

License

MIT License