MAMBA MODEL-BASED LITHIUM BATTERY LIFETIME PREDICTION METHOD AND SYSTEM

Disclosed are a Mamba model-based lithium battery lifetime prediction method and system in the technical field of energy storage in renewable energy power systems, the method including: acquiring aging feature matrices of a plurality of lithium batteries and inputting the same into a Mamba model for training, extracting a hidden state matrix sequence of each of the lithium batteries based on the trained Mamba model, and obtaining a cycle count sequence corresponding to a target cycle life prediction point of each of the lithium batteries through norm calculation and variational mode decomposition; constructing a linear relationship model for lithium battery lifetime prediction based on cycle count sequences corresponding to target states of health of all of the lithium batteries and cycle count sequences corresponding to target cycle life prediction points of all of the lithium batteries.