Lee, J.; Sun, H.; Liu, Y.; Li, X.; Liu, Y.; Kim, M.
State-of-Health Estimation and Anomaly Detection in Li-Ion Batteries Based on a Novel Architecture with Machine Learning. Batteries 2023, 9, 264.
https://doi.org/10.3390/batteries9050264
AMA Style
Lee J, Sun H, Liu Y, Li X, Liu Y, Kim M.
State-of-Health Estimation and Anomaly Detection in Li-Ion Batteries Based on a Novel Architecture with Machine Learning. Batteries. 2023; 9(5):264.
https://doi.org/10.3390/batteries9050264
Chicago/Turabian Style
Lee, Junghwan, Huanli Sun, Yuxia Liu, Xue Li, Yixin Liu, and Myungjun Kim.
2023. "State-of-Health Estimation and Anomaly Detection in Li-Ion Batteries Based on a Novel Architecture with Machine Learning" Batteries 9, no. 5: 264.
https://doi.org/10.3390/batteries9050264
APA Style
Lee, J., Sun, H., Liu, Y., Li, X., Liu, Y., & Kim, M.
(2023). State-of-Health Estimation and Anomaly Detection in Li-Ion Batteries Based on a Novel Architecture with Machine Learning. Batteries, 9(5), 264.
https://doi.org/10.3390/batteries9050264