A novel Long-term degradation trends predicting method for Multi-Formulation Li-ion batteries based on deep reinforcement learning

Chao Wang, Yu Ding 0003, Ning Yan, Liang Ma, Jian Ma 0006, Chen Lu, Chao Yang, Yuzhuan Su, Jin Chong, Haizu Jin, Yongshou Lin. A novel Long-term degradation trends predicting method for Multi-Formulation Li-ion batteries based on deep reinforcement learning. AI in Engineering, 53:101665, 2022. [doi]

@article{WangDYMMLYSCJL22,
  title = {A novel Long-term degradation trends predicting method for Multi-Formulation Li-ion batteries based on deep reinforcement learning},
  author = {Chao Wang and Yu Ding 0003 and Ning Yan and Liang Ma and Jian Ma 0006 and Chen Lu and Chao Yang and Yuzhuan Su and Jin Chong and Haizu Jin and Yongshou Lin},
  year = {2022},
  doi = {10.1016/j.aei.2022.101665},
  url = {https://doi.org/10.1016/j.aei.2022.101665},
  researchr = {https://researchr.org/publication/WangDYMMLYSCJL22},
  cites = {0},
  citedby = {0},
  journal = {AI in Engineering},
  volume = {53},
  pages = {101665},
}