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.本批数据集通过机理建模方法计算得到。更多细节可参阅《面向人工智能锂离子（Li-ion）诊断与预后的大数据训练数据》（"Journal of Power Sources"，2020年12月15日，第479卷，第228806号）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"，审稿中）。 电压-容量（V vs. Q）数据集（Gr-NMC_Co25_cha_n）的三元组及C/25倍率充电的分辨率为0.01，涵盖超过5000条不同模拟路径。每条路径的单次模拟增幅最高不超过0.85%。该数据集包含超过70万个独特的电压-容量曲线，共包含4个变量，详细信息及使用示例请参见配套的readme文件。 工况数据集（Gr-NMC_Co25_cha_142216duty）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至200个循环期间每10个循环采集一条），共包含15个变量，详细信息及使用示例请参见配套的readme文件。