most citedDIICAN: Dual Time-scale State-Coupled Co-estimation of SOC, SOH and RUL for Lithium-Ion Batteries

2 citations · 3 across the 2 of their papers we have counts for

collaborators
Showing eess.SYShow all

2 papers · 1 filter

eess.SY2023

Transferable Deep Learning Power System Short-Term Voltage Stability Assessment with Physics-Informed Topological Feature Engineering

Zijian Feng, Xin Chen, Zijian Lv +2

Deep learning (DL) algorithms have been widely applied to short-term voltage stability (STVS) assessment in power systems. However, transferring the knowledge learned in one power…

eess.SY2022★ 2 cited

DIICAN: Dual Time-scale State-Coupled Co-estimation of SOC, SOH and RUL for Lithium-Ion Batteries

Ningbo Cai, Yuwen Qin, Xin Chen +1

Accurate co-estimations of battery states, such as state-of-charge (SOC), state-of-health (SOH,) and remaining useful life (RUL), are crucial to the battery management systems to a…