State of Charge Estimation in Lithium-Sulfur Cells Using LSTM Recurrent Neural Networks

Zhihuo Wang, Abbas Fotouhi, Daniel J. Auger. State of Charge Estimation in Lithium-Sulfur Cells Using LSTM Recurrent Neural Networks. In 2020 European Control Conference, ECC 2020, Saint Petersburg, Russia, May 12-15, 2020. pages 1079-1085, IEEE, 2020. [doi]

@inproceedings{WangFA20,
  title = {State of Charge Estimation in Lithium-Sulfur Cells Using LSTM Recurrent Neural Networks},
  author = {Zhihuo Wang and Abbas Fotouhi and Daniel J. Auger},
  year = {2020},
  url = {https://ieeexplore.ieee.org/document/9143926},
  researchr = {https://researchr.org/publication/WangFA20},
  cites = {0},
  citedby = {0},
  pages = {1079-1085},
  booktitle = {2020 European Control Conference, ECC 2020, Saint Petersburg, Russia, May 12-15, 2020},
  publisher = {IEEE},
  isbn = {978-3-90714-402-2},
}