首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers >Characterization of the degradation process of lithium-ion batteries when discharged at different current rates
【24h】

Characterization of the degradation process of lithium-ion batteries when discharged at different current rates

机译:锂离子电池在不同电流速率下放电时的降解过程的表征

获取原文
获取原文并翻译 | 示例
           

摘要

The use of energy storage devices, such as lithium-ion batteries, has become popular in many different domains and applications. Hence, it is relatively easy to find literature associated with problems of battery state-of-charge estimation and energy autonomy prognostics. Despite this fact, the characterization of battery degradation processes is still a matter of ongoing research. Indeed, most battery degradation models solely consider operation under nominal (or strictly controlled) conditions, although actual operating profiles (including discharge current) may differ significantly from those. In this context, this article proposes a lithium-ion battery degradation model that incorporates the impact of arbitrary discharge currents. Also, the proposed model, initially calibrated through data reported for a specific lithium-ion battery type, can characterize degradation curves for other lithium-ion batteries. Two case studies have been carried out to validate the proposed model, initially calibrated by using data from a Sony battery. The first case study uses our own experimental data obtained for a Panasonic lithium-ion cell, which was cycled and degraded at high current rates. The second case study considers the analysis of two public data sets available at the Prognostics Center of Excellence of NASA Ames Research Center website, for batteries cycled using nominal and 2-C (twice the nominal) discharge currents. Results show that the proposed model can characterize degradation processes properly, even when cycles are subject to different discharge currents and for batteries not manufactured by Sony (whose data were used for the initial calibration).
机译:诸如锂离子电池之类的能量存储设备的使用已经在许多不同的领域和应用中流行。因此,相对容易找到与电池充电状态估计和能量自主预测问题相关的文献。尽管有这个事实,电池退化过程的表征仍然是一个正在进行的研究问题。的确,尽管实际的运行情况(包括放电电流)可能与这些情况大不相同,但大多数电池降级模型仅考虑在标称(或严格控制)条件下运行。在这种情况下,本文提出了一种锂离子电池退化模型,该模型考虑了任意放电电流的影响。同样,最初通过针对特定锂离子电池类型报告的数据进行校准的拟议模型可以表征其他锂离子电池的退化曲线。已经进行了两个案例研究,以验证提出的模型,该模型最初使用Sony电池中的数据进行了校准。第一个案例研究使用我们自己的松下锂离子电池实验数据,该电池在高电流速率下循环并降解。第二个案例研究考虑了两个在NASA艾姆斯研究中心卓越的预后中心提供的公共数据集的分析,这些数据用于使用标称放电电流和2-C(两倍于标称)放电电流循环的电池。结果表明,即使周期受到不同的放电电流,并且对于非索尼制造的电池(其数据用于初始校准),所提出的模型也可以正确地描述降解过程。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号