| dc.description.abstract | The continuous use of lithium-ion batteries leads to performance degradation, primarily due to capacity reduction over time, affecting battery lifetime. This degradation is influenced by charging and discharging patterns, where improper handling can hasten this process. This challenge is significant in sustaining battery performance and reliability for long-term energy storage applications. This thesis focuses on assessing the lifetime of LGM50 lithium-ion batteries through simulations based on existing reference data, specifically analyzing the effects of charging and discharging patterns on battery lifetime. Utilizing PyBaMM, an open-source platform, this study simulates battery behavior. The charging approach adopted is CCCV (Constant Current-Constant Voltage) combined with the SPM (Single Particle Model) electrochemical model. This method offers a more accurate estimation of battery lifetime, contributing to the development and usage of efficient and safer battery technologies. Data for this research is derived from tests on various charging and discharging rates under different operational parameters. The lifetime analysis includes calculating, visualizing data through graphs and interpreting data. These graphs represent discharging and charging profiles under CCCV, the correlation between the number of cycles and battery capacity, and the relationship between cycle count and capacity loss due to SEI (Solid Electrolyte Interface) formation, as well as Lithium Inventory Loss (LLI). The lifetime of the LGM50 lithium ion battery simulated using the SPM electrochemical model shows that the LGM50 battery has a longer estimated lifetime than that reported in reference studies at various C-rates. Moreover, the study underscores that charging and discharging patterns significantly influence battery lifetime. Batteries charged and discharged at lower C-rates exhibit slower capacity decline, indicating a prolonged lifetime. Conversely, at higher C-rates, batteries experience quicker capacity loss, suggesting a reduced lifetime. Rapid charging and discharging not only affect capacity but also accelerate the formation of SEI and LLI, further contributing to battery degradation. | en_US |
