Classification Of Different Methods to Calculate State of Charge of Lithium-Ion Battery

Abstract

In both commercial and home applications, batteries are essential. To determine the battery's performance, we must first determine the battery's state of charge (SOC). The SOC estimation should be correct, as this protects the battery from overcharging or discharging and extends its life. Battery standards vary in today's world, but lithium-ion is chosen for applications such as electric vehicles, semiconductor industries, space, and the military. Fast charging, high power density, lower weight, and rapid charging and discharging cycles are all advantages. This report examines the error probability of several types of SOC accessible in the literature. In comparison to other approaches accessible in the literature, the filter-based method of SOC has the lowest maximum error percentage. When compared to other methods, the adaptive unscented Kalman filter method has the lowest maximum error percentage. The latest trends in battery SOC estimation are discussed.