five

Aging data, charging curves and battery electric vehicle application profiles of a nickel-rich NMC / silicon-graphite high-energy lithium-ion cell

收藏
DataCite Commons2023-02-07 更新2024-07-13 收录
下载链接:
https://mediatum.ub.tum.de/1690455
下载链接
链接失效反馈
官方服务:
资源简介:
This dataset contains measurement data obtained from ten commercial lithium-ion cells of type INR18650 MJ1 manufactured by LG Chem during cycle aging. The cells were iteratively subject to an extended characterization procedure, an application profile simulating battery electric vehicle (BEV) usage, a charging rate test and continuous cycle aging under different conditions. The dataset contains values for capacity and resistance throughout aging, BEV application profiles measured at different aging states and charging curves (different constant current charging rates and constant power charging) measured at different aging states. It also includes an averaged quasi-stationary OCV curve of pristine cells and the power profile based on the WLTP that was used to measure the application profiles. Details on the experimental procedure can be found in Schmitt, Julius; Rehm, Mathias; Karger, Alexander; Jossen, Andreas (2023): Capacity and degradation mode estimation for lithium-ion batteries based on partial charging curves at different current rates. In: Journal of Energy Storage 59 (3), p. 106517. DOI: 10.1016/j.est.2022.106517. Details on the structure of the data can be found in the included readme file.

本数据集包含LG化学(LG Chem)生产的10颗商用INR18650 MJ1型锂离子电池在循环老化过程中采集的测试数据。这批电池依次接受了详尽表征流程、模拟纯电动汽车(Battery Electric Vehicle, BEV)使用场景的应用工况测试、充电倍率测试,以及不同条件下的持续循环老化测试。数据集涵盖老化过程中的容量与内阻参数、不同老化状态下测得的纯电动汽车应用工况数据,以及不同老化状态下的充电曲线(包含不同恒流充电倍率与恒功率充电曲线)。此外还包含全新电池的平均准静态开路电压(Open Circuit Voltage, OCV)曲线,以及用于生成应用工况的基于全球轻型车测试规程(Worldwide Harmonized Light Vehicles Test Procedure, WLTP)的功率曲线。有关实验流程的详细说明可参阅Schmitt, Julius; Rehm, Mathias; Karger, Alexander; Jossen, Andreas (2023)发表于《Journal of Energy Storage》(能源存储杂志)第59卷第3期、第106517页的研究论文《基于不同电流倍率下局部充电曲线的锂离子电池容量与衰减模式估算》,其DOI为10.1016/j.est.2022.106517。有关数据结构的详细说明可参阅随附的README文件。
提供机构:
Technical University of Munich
创建时间:
2023-02-07
二维码
社区交流群
二维码
科研交流群
商业服务