Degradation path prediction of lithium-ion batteries under dynamic operating sequences
Published: 14 October 2024| Version 2 | DOI: 10.17632/h2y7mj4kt7.2
Contributors:
, Description
The datasets developed for this study consist of 80 commercial high-nickel NMC811/Gr-SiOx cells (LG Chem, INR18650-MJ1, 3.5 Ah nominal capacity and 3.635 V nominal voltage). All tests were conducted at a controlled temperature of 25 °C. Path-dependent degradation dataset The dataset contains 72 cells in total, with 3 cells assigned to each of the 24 different dynamic operating sequences. Each sequence spanned 600 cycles, divided into four stages of 150 cycles, with varying operating conditions in each stage. Highly dynamic operation dataset The dataset contains 8 cells, each with distinct dynamic operation sequences, developed to implement more complex dynamic patterns. The operating condition was changed every 25 cycles.
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Institutions
Seoul National University
Categories
Battery Management System, Lithium Ion Battery