APA (7th ed.) Citation

Wang, W., Yang, G., Li, M., Yan, Z., Zhang, L., Yu, H., . . . Yang, K. (2023). State-of-health estimation for lithium-ion batteries based on Bi-LSTM-AM and LLE feature extraction. Frontiers in Energy Research, 11, . https://doi.org/10.3389/fenrg.2023.1205165

Chicago Style (17th ed.) Citation

Wang, Wentao, et al. "State-of-health Estimation for Lithium-ion Batteries Based on Bi-LSTM-AM and LLE Feature Extraction." Frontiers in Energy Research 11 (2023). https://doi.org/10.3389/fenrg.2023.1205165.

MLA (9th ed.) Citation

Wang, Wentao, et al. "State-of-health Estimation for Lithium-ion Batteries Based on Bi-LSTM-AM and LLE Feature Extraction." Frontiers in Energy Research, vol. 11, 2023, https://doi.org/10.3389/fenrg.2023.1205165.