Degradation modeling of serial space lithium-ion battery pack
To model the correlation between degradation and inconsistency of serial space lithium-ion battery packs, this paper proposes a method to model the degradation of these
Figure 1. Degradation mechanism of lithium-ion battery . Battery degradation significantly impacts energy storage systems, compromising their efficiency and reliability over time . As batteries degrade, their capacity to store and deliver energy diminishes, resulting in reduced overall energy storage capabilities.
Chen et al. proposed a capacity degradation prediction model for a lithium-ion battery based on SVMs and the authors claimed that the artificial bee colony and support vector regression model can predict more accurately compared to other state-of-the-art algorithms . 5.2. Relevance Vector Machines (RVM)
Following age treatment, discharge patterns of these two cathodes demonstrated a significant loss of capacity. Almeida et al. examined the aging process of LIBs based on Li (Ni, Mn, Co)O 2 (NMC). The tested battery's capacity lost 7.5% when it was cycled at 85 °C and 22% when it was cycled at 120 °C.
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