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Citation

If you use BatteryML in your research, please cite:

BatteryML Citation

@misc{batteryml2024,
  title={BatteryML: A Modular Platform for Battery Degradation Modeling},
  author={Research Module},
  year={2024},
  publisher={GitHub},
  howpublished={\url{https://github.com/yourusername/battery-ml}}
}

Dataset Citation

LG M50T Dataset

@article{enmg_data,
  title={Lithium-ion battery degradation: Measuring rapid loss of active silicon in silicon-graphite composite electrodes},
  author={ENMG Oxford},
  journal={Oxford Battery Intelligence Lab},
  year={2023},
  note={LG M50T Dataset}
}

Neural ODEs

@article{chen2018neural,
  title={Neural Ordinary Differential Equations},
  author={Chen, Ricky T. Q. and Rubanova, Yulia and Bettencourt, Jesse and Duvenaud, David K.},
  journal={Advances in Neural Information Processing Systems},
  year={2018}
}

SHAP

@article{lundberg2017unified,
  title={A Unified Approach to Interpreting Model Predictions},
  author={Lundberg, Scott M. and Lee, Su-In},
  journal={Advances in Neural Information Processing Systems},
  year={2017}
}

LightGBM

@article{ke2017lightgbm,
  title={LightGBM: A Highly Efficient Gradient Boosting Decision Tree},
  author={Ke, Guolin and Meng, Qi and Finley, Thomas and Wang, Taifeng and Chen, Wei and Ma, Weidong and Ye, Qiwei and Liu, Tie-Yan},
  journal={Advances in Neural Information Processing Systems},
  year={2017}
}

Acknowledgments

  • Oxford Battery Intelligence Lab for the LG M50T dataset
  • PyTorch team for torchdiffeq (Neural ODEs)
  • Hydra team for configuration management
  • All contributors to BatteryML

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