Online estimation of state-of-health for lithium ion batteries based on charge curves

N. Yang, Jing Feng, Quan Sun, Tianyu Liu, Dao Zhong
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引用次数: 11

Abstract

Usable capacity refers to the maximum capacity in theory that a fully charged battery can release, and is often used as an indicator in state of health (SOH) estimation for lithium ion batteries. The traditional method for measuring usable capacity is mainly based on voltage data in the discharge process with a constant current. However, the discharge current of a lithium ion battery in operation always fluctuates due to load changes, which makes the traditional method difficult for realizing online capacity measurement. To overcome the above problems, a novel approach is proposed in this paper to estimate the usable capacity and SOH of lithium ion batteries based on the charge curve. The time intervals between two voltages and currents during charging are used as the health factors to predict the usable capacity, which is then used to perform the SOH estimation. Experiments are implemented based on data provided by the NASA Ames Prognostics Center of Excellence. Results confirm that the proposed method performs well in online estimation of SOH.
基于充电曲线的锂离子电池健康状态在线估计
可用容量是指电池充满电后理论上能释放的最大容量,常被用作锂离子电池健康状态(SOH)估计的指标。传统的可用容量测量方法主要是基于恒流放电过程中的电压数据。然而,锂离子电池在运行过程中,由于负载的变化,其放电电流会出现波动,这使得传统的方法难以实现在线容量测量。为了克服上述问题,本文提出了一种基于充电曲线估算锂离子电池可用容量和SOH的新方法。在充电过程中,两个电压和电流之间的时间间隔作为健康因子来预测可用容量,然后使用该健康因子进行SOH估计。实验是根据NASA艾姆斯卓越预测中心提供的数据实施的。结果表明,该方法能较好地在线估计SOH。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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