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资源简介：
Dataset of FL-Battery-RUL.
应用场景：
创建时间：
2023-09-27
相关数据集
sj-csv-1-mac-10.1177_00202940221103622 – Supplemental material for A hybrid CNN-BiLSTM approachfor remaining useful life predictionof EVs lithium-Ion battery
Supplemental material, sj-csv-1-mac-10.1177_00202940221103622 for A hybrid CNN-BiLSTM approachfor remaining useful life predictionof EVs lithium-Ion battery by Dexin Gao, Xin Liu, Zhenyu Zhu and Qing
DataCite Commons2024-08-28 更新50
Hyperparameters of HybridoNet-Adapt.
Accurate prediction of the Remaining Useful Life (RUL) of lithium-ion batteries is critical for safe, reliable Battery Health Management in diverse operating conditions. Existing RUL models often fail
NIAID Data Ecosystem10
Comparison of capacity and RUL estimation results among different methods (battery No.5).
Comparison of capacity and RUL estimation results among different methods (battery No.5).
NIAID Data Ecosystem40
Overview of RUL prediction methods in LIB research.
Overview of RUL prediction methods in LIB research.
NIAID Data Ecosystem20
