Lithium battery SOH prediction based on modal decomposition and optimized transformer-bilstm framework with multi-strategy adaptive beaver behavior optimizer
Accurate prediction of the State of Health (SOH) of lithium batteries is essential for ensuring safe operation, prolonging battery service life and optimizing energy management. Battery degradation is characterized by strong nonlinearity, multi-factor coupled interference and data redundancy. Furthermore, prevailing hy...