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

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

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

• Refer to EKF.ipynb

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:

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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

• Refer to Data Driven Modelling of Li-ion Batteries
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Kalman Filter plots

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License

MIT License