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SKRIPSI ESTIMASI STATE OF CHARGE (SOC) DENGAN METODE RECURSIVE LEAST SQUARE (RLS) PADA BATERAI LITHIUM-ION
This study aims to design a State of Charge (SOC) estimator for Lithium-ion batteries using the Recursive Least Squares (RLS) method. SOC is an important parameter in Battery Management Systems (BMS) that serves to monitor the remaining capacity and act as an indicator of battery health. The RLS method is applied to estimate the regression parameter coefficients in SOC estimation by iteratively combining initial data with new data (n+1). This research uses three 2050 mAh Lithium-ion batteries arranged in series, with a discharge cut-off limit of 8.25V and a charging cut-off limit of 12.6V. This configuration allows the system to operate within an optimal voltage range, thus preventing overcharge or overdischarge, which could be harmful to the battery. The designed system is capable of monitoring voltage, current, and temperature in real-time, as demonstrated by sensor calibration results showing low error percentages, as well as high accuracy and precision. The system also responds quickly to load changes, ensuring that SOC estimation remains accurate despite dynamic operating conditions. Additionally, the system is equipped with an automatic protection feature that cuts off the current to the load when the temperature and safety factor exceed safe limits. This is indicated by the sounding of a buzzer when the safety factor approaches 60, which occurs when the battery temperature reaches between 44.7°C and 45.7°C. This feature effectively enhances battery safety and extends its lifespan.
Keywords : BMS, State of Charge, Recursive Least Squares, Lithium-ion Battery, Safety Factor.
120-UN57.U1-STE-II-2025 | ELEKTRO KHA E 2025 | Ruang Skripsi (TEKNIK ELEKTRO) | Tersedia namun tidak untuk dipinjamkan - No Loan |
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