2026-10-13T21:01:47Z https://data.mendeley.com/oai

oai:data.mendeley.com/npjy7vdgky.1 2025-07-21T08:46:05Z

Jeong, Yong Jin A unified deep learning framework for high-performance RUL prediction Mendeley Data 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+NCM/Gr-Si (A nominal capacity of 2.5 Ah, and a nominal voltage of 3.6 V). Datasets 1, 2 and 3 consist of 90, 12 and 28 cells respectively. Each dataset consists of cycling data generated by assigning distinct operating profiles---each with a length of up to 1000 cycles and extracted from Markov matrices representing different user groups---to individual cells. During the generation of protocols from the configured Markov matrices, half of the initial cycles for each generated protocol were designated as fast-charging and the other half as slow-charging. These profiles, each consisting of a distinct charging sequence, emulate specific user group charging patterns by alternating between fast and slow charging based on derived probabilistic behavior. All cells were tested using a battery cycler (CRC 05-10, Wonik PNE, South Korea) within a temperature-controlled chamber (IL-11, JEIO TECH, South Korea) maintained at 25 °C. Each cell underwent cycles that alternated between fast charging (3C) and slow charging (0.5C), followed by a standardized 1C CC discharge and a 10-minute rest period between charging and discharging. For full-range fast charging, a 3C CC-CV protocol was employed in a SOC range of 2.5−4.2 V with a 20-minute time limit. Dataset 2 employed the same protocol but within a voltage range of 3.2−4.2 V and a shortened time limit of 17 minutes. Similarly, full-range slow charging used a 0.5C CC-CV protocol within 2.5−4.2 V with a 120-minute limit, while Dataset 2 applied in 3.2−4.2 V, limiting the time to 100 minutes. To constrain the SOC range during charging to the MID–HIGH region in Dataset 2, the discharge cut-off voltage was set at 3.2 V, which corresponds to approximately 16.6% SOC under 1C discharge. A diagnostic cycle at a 0.2C (dis)charging was inserted every 30 cycles from BOL for all datasets. Voltage, current, and capacity data were recorded every 10 seconds during each cycle. Battery Management System Lithium Ion Battery Dataset doi:10.17632/npjy7vdgky.1 oai:data.mendeley.com/npjy7vdgky.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/npjy7vdgky 2025-07-21T08:46:05Z