Federated Physics-Informed Neural Networks for Privacy-Preserving Lithium-Ion Battery Degradation Prognostics Under Sparse Data Conditions
Lithium-ion batteries (LIBs) are widely used in electric vehicles (EVs), renewable energy storage systems (ESSs), and smart grids, but accurate degradation and remaining useful life (RUL) prediction remains challenging under sparse data and distributed data-storage conditions. This study proposes a Federated Physics-In...