Analyzing the effects of different MPPT algorithms on lithium-ion battery degradation
Küçük Resim Yok
Tarih
2023
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
American Institute of Aeronautics and Astronautics Inc, AIAA
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
For 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.
Açıklama
AIAA SciTech Forum and Exposition, 2023 -- 23 January 2023 through 27 January 2023 -- Orlando -- 313289
Anahtar Kelimeler
Battery Management Systems, Charging (Batteries), Lithium-Ion Batteries, Maximum Power Point Trackers, Battery Degradation, Battery Health, Critical Issues, Health Parameters, Maximum Power, Maximum Power Point Tracking algorithms, Power, PV Panel, State of Health, States of Charges, Efficiency
Kaynak
AIAA SciTech Forum and Exposition, 2023
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
Sayı
Künye
Cinoğlu, B., Küçükkör, Ö., Karakoç, H., & Durak, U. (2023). Analyzing the Effects of Different MPPT Algorithms on Lithium-Ion Battery Degradation. AIAA SCITECH 2022 Forum.
