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.本数据集采用机理建模方法计算所得。详细信息可参阅《Big data training data for artificial intelligence-based Li-ion diagnosis and prognosis》（《Journal of Power Sources》，第479卷，2020年12月15日，文章编号228806）与《Analysis of Synthetic Voltage vs. Capacity Datasets for Big Data Li-ion Diagnosis and Prognosis》（《Energies》，待审稿）。 电压-容量（V vs. Q）数据集（Gr-NMC_Co25_cha_n）的三元组与C/25倍率充电的采样分辨率为0.01，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70万条独特的电压-容量曲线。该数据集共包含4个变量，详细说明与使用示例请参阅配套的README文件。 工况循环数据集包含超过14万个工况循环，每200个循环采集一条电压曲线（1至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）共包含15个变量，详细说明与使用示例请参阅配套的README文件。