Battery Management System-Based Fuzzy Logic

To solve the issue of battery charge-discharge and associated damage brought on by incorrect estimates of the battery efficiency, fuzzy logic is used to define a new quantity known as the Energy storage system (ESS), which is based on the battery state, state of charge (SOC), and state of health (SoH). A battery management system (BMS) technique is necessary for energy storage systems (ESSs) for ageing increases a battery’s internal resistance and reduces its capacity. To control the battery state using fuzzy logic, in this paper, a formula for calculating battery efficiency is proposed. The charging time, charging current, and battery capacity are all factors in the proposed fuzzy logic-based battery efficiency estimation formula. The findings show that the ESS is used by the fuzzy logic battery management system to determine battery efficiency. The battery efficiency is also decreased by using a defect diagnosis algorithm to construct a safe system when charging and discharging. Applying the proposed BMS algorithm in a 3-kW ESS shows that it is valid.