Conversion Loss Data Generation with Analytical Models

Citation Author(s):
Xuan
Liu
Submitted by:
Xuan Liu
Last updated:
Sun, 03/19/2023 - 05:10
DOI:
10.21227/wnw5-hj68
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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.