Integrasi Model PyBaMM dengan Data Eksperimental untuk Prediksi Lithum Plating: Studi Kasus Baterai NMC811

Abstract

NMC811 lithium-ion batteries are widely used because they have high energy density and support the development of electric vehicles. However, NMC811 batteries are prone to lithium plating, especially during fast charging and at low temperatures, which leads to reduced capacity, shortens battery life, and can pose safety risks. The PyBaMM model is widely used to predict degradation but is still limited in its ability to validate the lithium plating phenomenon using experimental data. This study aims to validate the PyBaMM model using experimental data to predict lithium plating more accurately, as well as to investigate the effects of temperature and current on lithium plating. The experimental and simulation data show that the C-rate and temperature are factors that influence the occurrence of lithium plating. The higher the C-rate, the greater the charging current, resulting in more lithium plating. This is consistent with the experimental results at 25°C at a 0.1C charging rate, the lithium plating formed reached 6697.4189 mol/m³ at the 40th hour, whereas at a 1C charging rate, the lithium plating formed was significantly higher at 20599.6522 mol/m³ at the 22nd hour. These results indicate that increasing the C-rate can accelerate and increase the formation of lithium plating. Additionally, temperature can influence the onset of lithium plating, as evidenced by the onset results. Under 0.2C conditions at 25°C, lithium plating first appeared in the 18th cycle at the 10-minute mark, whereas at 30°C it occurred in the 19th cycle, and at 50°C in the 23rd cycle. These results indicate that temperature can also influence the occurrence of lithium plating, particularly at lower temperatures.