most citedRemaining Useful Life Prediction Using Temporal Deep Degradation Network for Complex Machinery with Attention-based Feature Extraction

6 citations · 9 across the 3 of their papers we have counts for

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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…