Implementation of sliding-mode observer combined with aging compensation for improved SOC estimation

This work gives insight to the design and implementation of an improved state-of-charge (SOC) estimation using sliding-mode observer (SMO) combined with aging compensation via recursive least squares (RLS) for a degraded Li-Ion cell. The main advantage of this approach would be low computational load and easiness of implementation along with the robustness of the method for internal battery model parameters used for SOC estimation. This work used as a part of either a Matlab/Simulink model or an integral part of the battery management system (BMS)-micro controller unit (MCU) of STM32F105VC, was verified by the comparison with experimental data of 1.5Ah LiCoO₂ degraded cell produced by Samsung SDI.