Hybrid BiLSTM-RF Framework for Lithium-ion Battery State of Health and RUL Prediction

Figures

IEEE ICDM 2025 · CC BY 4.0

Citation

Lu, I., Zhao, K., Liu, E., Hung, M., Song, R., Lin, C., Cha, A., Zou, Y., & Shi, L. (2025). Hybrid BiLSTM-RF Framework for Lithium-ion Battery State of Health and RUL Prediction [Poster]. 2025 IEEE International Conference on Data Mining, Washington DC, USA. https://doi.org/10.6084/m9.figshare.30685160

@misc{lu2025hybrid,
  author       = {Lu, Irene and Zhao, Kaiwen and Liu, Emily and Hung, Mandy and Song, Richard and Lin, Chris and Cha, Andrew and Zou, Yingying and Shi, Linda},
  title        = {Hybrid BiLSTM-RF Framework for Lithium-ion Battery State of Health and RUL Prediction},
  year         = {2025},
  howpublished = {2025 IEEE International Conference on Data Mining, Washington DC, USA},
  note         = {Paper ID S01252 · Poster},
  doi          = {10.6084/m9.figshare.30685160},
  url          = {https://doi.org/10.6084/m9.figshare.30685160}
}