Datasets of multiple sets of bidirectional Buck/Boost converters in degraded states

This dataset contains the experimental data used for training and evaluation of the Physics-Informed Neural Network (PINN) model in the study “Intelligent Lifespan Prediction for Spaceborne Power Converters via Distributed Air-Ground Collaboration Enabled by Physics-Data Hybrid Modeling.”
The data describe the steady-state voltage and current waveforms of a bidirectional DC-DC converter under various degradation states, along with the corresponding circuit parameter values (R1, R2, C). Each degradation state represents a unique combination of these parameters.