Datasets of multiple sets of bidirectional Buck/Boost converters in degraded states
Published: 12 November 2025| Version 1 | DOI: 10.17632/jh69mxmx99.1
Contributor:
永锋 秦Description
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.
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Institutions
- Harbin Institute of Technology
Categories
Power Electronics