Conversion Loss Data Generation with Analytical Models
- Citation Author(s):
-
Xuan Liu
- Submitted by:
- Xuan Liu
- Last updated:
- DOI:
- 10.21227/wnw5-hj68
- Data Format:
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Abstract
This dataset is created for neural network-based surrogate modeling of the power conversion losses. The dataset includes four sets of data (for AC/DC conversion losses under inversion/rectification moes and DC/DC conversion losses during battery charging/discharging, respectively) for the neural network. The raw data is generated using high fidelity analytical models.
Instructions:
See the documentation pdf for instructions.
