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
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
Datasets 1 and 2 were constructed using NCA/Gr-Si based SONY 18650 VTC6 cells (A nominal capacity of 3 Ah and a nominal voltage of 3.6 V). Dataset 3 employed Samsung SDI INR18650 25R cells with NCA+NC
