Yang, Fangfang
Sun Yat-sen University
4 papers on CoChatORCID 0000-0002-0643-1069
Most cited papers
- Verified
State-of-charge estimation of lithium-ion batteries based on gated recurrent neural network
Yang, F., Li, W., Li, C., & Miao, Q. (2019) · Energy
Battery Modeling and ManagementAdvancements in Battery Materials
Cited by 543
- Verified
A study of the relationship between coulombic efficiency and capacity degradation of commercial lithium-ion batteries
Yang, F., Wang, D., Zhao, Y., Tsui, K.-L., & Bae, S. J. (2018) · Energy
Battery Modeling and ManagementAdvancements in Battery Materials
Cited by 349
- Verified
State-of-Charge Estimation of Lithium-Ion Batteries via Long Short-Term Memory Network
Yang, F., Song, X., Xu, F., & Tsui, K.-L. (2019) · IEEE Access
Battery Modeling and ManagementAdvancements in Battery Materials
Cited by 234
- Verified
Deep learning powered rapid lifetime classification of lithium-ion batteries
Fei, Z., Zhang, Z., Yang, F., & Tsui, K.-L. (2023) · eTransportation
Battery Modeling and ManagementAdvancements in Battery Materials
Cited by 36
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