Cite
HFCM-LSTM: A novel hybrid framework for state-of-health estimation of lithium-ion battery
MLA
Mingyu Gao, et al. “HFCM-LSTM: A Novel Hybrid Framework for State-of-Health Estimation of Lithium-Ion Battery.” Energy Reports, vol. 9, no. 2577–2590, Dec. 2023, pp. 2577–90. EBSCOhost, https://doi.org/10.1016/j.egyr.2023.01.109.
APA
Mingyu Gao, Zhengyi Bao, Chunxiang Zhu, Jiahao Jiang, Zhiwei He, Zhekang Dong, & Yining Song. (2023). HFCM-LSTM: A novel hybrid framework for state-of-health estimation of lithium-ion battery. Energy Reports, 9(2577–2590), 2577–2590. https://doi.org/10.1016/j.egyr.2023.01.109
Chicago
Mingyu Gao, Zhengyi Bao, Chunxiang Zhu, Jiahao Jiang, Zhiwei He, Zhekang Dong, and Yining Song. 2023. “HFCM-LSTM: A Novel Hybrid Framework for State-of-Health Estimation of Lithium-Ion Battery.” Energy Reports 9 (2577–2590): 2577–90. doi:10.1016/j.egyr.2023.01.109.