Lithium-ion Battery SoC and SoE Sliding Mode Observation for Energy Storage System

With the increasingly severe global energy crisis, photovoltaic(PV) power generation has become a crucial link to alleviate the energy crisis. Energy storage system is commonly used in PV power generation system, and its control and monitoring affect the normal operation of PV system. Based on the Thevenin equivalent circuit model, this paper designed a linear sliding mode observer (LSMO) and a SMO based on the super-twisting algorithm to estimate the State-of-Charge(SoC) and the State-of-Energy(SoE) of the lithium-ion battery. The accuracy and robustness of the proposed SoC and SoE observers are verified by dynamic stress test (DST) experimental data.