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.