AN OVERVIEW OF SOC ESTIMATION IN LI-ION BATTERIES WITH DIRECT MEASUREMENT METHODS AND COULOMB COUNTING

Abstract

The current spike in demand for new and better battery technologies and energy storage devices has intensified as a result of the recent boom in the electric car industry. A better battery management system enables a better solution for the desired application, allowing the batteries to perform to their full capacity. As a result, improving Li-ion battery technology, not only in chemistry but also in maintenance, performance, and efficiency, has become critical to meeting today's demand. Lithium-ion batteries are used in a variety of applications, and battery management systems (BMS) guarantee that the batteries last a long time and are properly utilized. BMSs are sophisticated and generate significant overhead consumption, which has an impact on the batteries. The SOC (State of Charge) Estimation, which assesses the ratio of accessible capacity to the maximum potential charge stored in the battery, is an incredibly important metric for this. The state of charge (SOC) of a battery indicates its usable capacity. It is one of the most important variables to monitor to improve the efficiency of lithium-ion batteries. Estimating the state of charge (SOC) of a battery is a serious challenge. Because the SOC is an important statistic for determining battery performance, accurate estimation of the SOC may protect the battery, reduce overcharging, extend its life, and allow the application to adopt energy-saving control measures. A battery, on the other hand, is a chemical energy storage source that cannot be accessed quickly. Estimating a battery's SOC is difficult as a result of this issue.