Graphite// NMC synthetic V vs. Q & duty cycle datasets

These datasets were calculated using the mechanistic modeling approach. See “Big data training data for artificial intelligence-based Li-ion diagnosis and prognosis“ (Journal of Power Sources, Volume 479, 15 December 2020, 228806) and "Analysis of Synthetic Voltage vs. Capacity Datasets for Big Data Li-ion Diagnosis and Prognosis" (Energies, under review) for more details

The V vs. Q dataset (Gr-NMC_Co25_cha_n) was compiled with a resolution of 0.01 for the triplets and C/25 charges. This accounts for more than 5,000 different paths.
Each path was simulated with at most 0.85% increases for each. The dataset contains more than 700,000 unique voltage vs. capacity curves.
4 Variables are included, see corresponding read me file for details and example how to use.

The duty cycle dataset is composed of more than 140,000 duty cycles with one voltage curve at most every 200 cycles (one every 10 cycles for cycles 1-200).
15 variables are included in the duty cycle dataset (Gr-NMC_Co25_cha_142216duty). See corresponding read me file for details and example how to use.

本数据集通过机理建模方法计算得到。更多细节可参阅《基于人工智能的锂离子（Li-ion）诊断与预后大数据训练数据集》（《Journal of Power Sources》，第479卷，2020年12月15日，文章编号228806）以及《面向大数据锂离子（Li-ion）诊断与预后的合成电压-容量数据集分析》（《Energies》，待审稿）。

电压-容量（V vs. Q）数据集（Gr-NMC_Co25_cha_n）针对三元组数据与C/25倍率充电设置了0.01的采样分辨率，涵盖超过5000条不同的循环路径。每条路径的模拟增量最高不超过0.85%。本数据集包含超过70万条唯一的电压-容量曲线，共包含4项变量，详细信息与使用示例请参阅对应README文件。

工况循环数据集包含超过14万个工况循环，每200个循环至多采集一条电压曲线（1-200号循环则每10个循环采集一条）。该工况循环数据集（Gr-NMC_Co25_cha_142216duty）包含15项变量，详细信息与使用示例请参阅对应README文件。