Cinoğlu, BahadırKüçükkör, ÖzgeKarakoç, HikmetDurak, Umut2024-10-122024-10-122023Cinoğlu, B., Küçükkör, Ö., Karakoç, H., & Durak, U. (2023). Analyzing the Effects of Different MPPT Algorithms on Lithium-Ion Battery Degradation. AIAA SCITECH 2022 Forum.978-162410699-6https://doi.org/10.2514/6.2023-1592https://hdl.handle.net/11467/8803AIAA SciTech Forum and Exposition, 2023 -- 23 January 2023 through 27 January 2023 -- Orlando -- 313289For a continuous flight, providing required power at the optimum level and maintaining battery health all the time is a critical issue that needs to be handle delicately. Since the efficiency of the maximum power is provided by the PV panel is directly related to the Maximum Power Point Tracking (MPPT) algorithms, each of these algorithms may also have an effect on the State of Charge (SOC) and State of Health (SOH) parameters of the battery. In this study, an MPPT model is simulated in order to determine how different algorithm’s efficiency effect the battery health.eninfo:eu-repo/semantics/closedAccessBattery Management SystemsCharging (Batteries)Lithium-Ion BatteriesMaximum Power Point TrackersBattery DegradationBattery HealthCritical IssuesHealth ParametersMaximum PowerMaximum Power Point Tracking algorithmsPowerPV PanelState of HealthStates of ChargesEfficiencyConference ObjectN/A2-s2.0-8520013388410.2514/6.2023-1592