Lithium-Ion Battery Drive Cycle Dataset

This dataset contains lithium-ion battery cycling data of twelve distinct drive cycles under five different ambient temperatures, which is designed for the development of SOC estimation algorithms. The drive cycles include a variety of usage scenarios and cycling patterns, ensuring an effective and objective evaluation of the algorithms. The reference SOC values are already calculated using coloumb counting for convenience. During the tests, three brand-new LG INR 21700 M50LT lithium-ion battery cells with 4.93Ah nominal capacity under the same aging state were cycled using a BaSyTec CTS cycler with a Memmert climate chamber. For further information, please refer to the Markdown file Readme.md. This dataset was developed by Jiaqi Yao at Technische Universität Berlin ([e-mail] / [e-mail]). Please offer appropriate citations if you would like to use the data. Publications related to this dataset: [1] J. Yao and J. Kowal, “A multi-scale data-driven framework for online state of charge estimation of lithium-ion batteries with a novel public drive cycle dataset,” Journal of Energy Storage, vol. 107, p. 114888, Jan. 2025, doi: https://doi.org/10.1016/j.est.2024.114888. [2] J. Yao, B. Zheng, and J. Kowal, “Continual learning for online state of charge estimation across diverse lithium-ion batteries,” Journal of Energy Storage, vol. 117, p. 116086, May 2025, doi: https://doi.org/10.1016/j.est.2025.116086.

搜集汇总

背景与挑战

背景概述

该数据集提供了12种不同驾驶循环在五种环境温度下的锂离子电池循环数据，旨在支持SOC估计算法的开发与评估。数据中的参考SOC值已通过库仑计数预先计算，测试采用三块全新LG INR 21700 M50LT电池在受控条件下进行，适用于电池管理系统和机器学习研究。