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Extended Battery Parameter Synthetic Data Generation Using Sparse Attention Mechanism

Repository Structure

• The datasets used are stored in 📁 data .
• 📁settings contains all the parameters and hyperparameters details.
• Data Preprocessing is done in data_loader.py.
• Model Architecture is present in model.py.

📍Code has been executed in Google Colaboratory. Open In Colab

Usage

Run file run-ds.py to train the model.


Acknowledgments

We appreciate the code and datasets from the following GitHub repositories.

https://github.com/moraieu/query-selector

Dataset source : Diao, W., Saxena, S., Pecht, M. Accelerated Cycle Life Testing and Capacity Degradation Modeling of LiCoO2 -graphite Cells. J. Power Sources 2019, 435, 226830. https://web.calce.umd.edu/batteries/data.htm

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Extended Battery Parameter Synthetic Data Generation Using Sparse Attention Mechanism

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