ABSTRACT
Storage is needed in a Solar Photovoltaic system due to its lesser reliability and intermittency. This paper proposes an advanced State of Charge estimation methodology of the Lead Acid Battery Energy Storage System for 48V LVDC Home Energy Management (HEM) application. A combination method of Coulomb Counting and Kalman state estimator incorporating the Thevenin model is proposed. Kalman estimation model values are obtained by performing experiment on four series-connected 12V, 7 Ah lead-acid battery. Combining both the methods mitigates the disadvantage of each method. The proposed methodology has the advantage of measuring the SOC of the system with the battery online all the time. Accurate estimation of the state of battery in a home energy management system leads to improved efficiency by controlling the charging-discharging cycles of the battery.
