An Adaptive Strategy for Li-ion Battery SOC Estimation

Abstract This paper presents an extended Kalman filter (EKF) based on an electro-thermal model for the estimation of the state of charge of a lithium-ion battery. In order to compensate for uncertainties in the model parameters and the measurements, it is first shown that the filter robustness strongly depends on the SOC range. Then the filter weights are adapted according to the SOC value. This estimation technique is tested using experimental data collected at the batteries testing facilities of IFP Energies nouvelles, from a commercial A123 lithium iron phosphate/carbon (LFP/C) cell. Despite its simplicity, the filter shows good performance, with an average error within 3% range.

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