A Novel Battery State of Charge Estimation Based on Voltage Relaxation Curve

IF 4.6 4区 化学 Q2 ELECTROCHEMISTRY Batteries Pub Date : 2023-10-21 DOI:10.3390/batteries9100517
Suhyeon Lee, Dongho Lee
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引用次数: 1

Abstract

Lithium-ion batteries, known for their high efficiency and high energy output, have gained significant attention as energy storage devices. Monitoring the state of charge through battery management systems plays a crucial role in enhancing the safety and extending the lifespan of lithium-ion batteries. In this paper, we propose a state-of-charge estimation method to overcome the limitations of the traditional open-circuit voltage method and electrochemical impedance spectroscopy. We verified changes in the shape of the voltage relaxation curve based on battery impedance through simulations and analyzed the impact of individual impedance on the voltage relaxation curve using differential equations. Based on this relationship, we estimated the impedance from the battery’s voltage relaxation curve through curve fitting and subsequently estimated the state of charge using a pre-established lookup table. In addition, we introduced a partial curve-fitting method to reduce the estimation time compared to the existing open-circuit voltage method and confirmed the trade-off relationship between the estimation time and estimation error.
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一种基于电压松弛曲线的电池充电状态估计方法
锂离子电池以其高效率和高能量输出而闻名,作为一种能量存储设备受到了广泛的关注。通过电池管理系统监测充电状态对于提高锂离子电池的安全性和延长其使用寿命具有至关重要的作用。本文提出了一种电荷状态估计方法,克服了传统开路电压法和电化学阻抗谱法的局限性。我们通过仿真验证了基于电池阻抗的电压松弛曲线形状的变化,并利用微分方程分析了单个阻抗对电压松弛曲线的影响。基于这种关系,我们通过曲线拟合从电池的电压松弛曲线估计阻抗,随后使用预先建立的查找表估计充电状态。此外,与现有的开路电压估计方法相比,我们引入了部分曲线拟合方法来减少估计时间,并证实了估计时间与估计误差之间的权衡关系。
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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来源期刊
Batteries
Batteries Energy-Energy Engineering and Power Technology
CiteScore
4.00
自引率
15.00%
发文量
217
审稿时长
7 weeks
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