Rapid State-of-Power Estimation of Lithium-Ion Battery Packs in DC Microgrids

IF 4.8 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
IEEE open journal of power electronics Pub Date : 2026-01-01 Epub Date: 2026-03-05 DOI:10.1109/OJPEL.2026.3690767
Leevi Lignell;Minh Tran;Tomi Roinila
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引用次数: 0

Abstract

Lithium-ion (Li-ion) batteries are widely used as energy storage systems in DC microgrids. Effective and lifetime-prolonging operation of Li-ion batteries requires continuous monitoring and control of their operating conditions. One important state parameter in this context is the state of power (SOP), which describes the battery’s ability to supply a load under specified constraints. In this work, an SOP estimation method based on rapid online battery impedance measurements is proposed. The method utilizes impedance measurement data to evaluate the effects of both internal resistance and charge accumulation on the battery cell terminal voltage. The proposed SOP estimation approach is independent of prior battery measurement data and does not rely on the estimation of other state parameters, such as the state of charge (SOC). Experimental measurements on commercial Li-ion battery cells using bi-directional load currents and peak current pulses were conducted to evaluate the performance of the proposed SOP estimation method. The method predicts the battery voltage with a maximum root mean square error of 13.07 mV across all bi-directional current tests and predicts the peak current pulse voltage with a root mean square error of 5.27 mV. This work is a revised and extended version of a presentation at ICDCM [L. Lignell] et al., 2025.
直流微电网中锂离子电池组的快速功率状态估计
锂离子(Li-ion)电池在直流微电网中广泛应用于储能系统。锂离子电池的有效运行和寿命延长需要对其运行状态进行持续监测和控制。在这种情况下,一个重要的状态参数是功率状态(SOP),它描述了电池在指定约束下提供负载的能力。本文提出了一种基于快速在线电池阻抗测量的SOP估计方法。该方法利用阻抗测量数据来评估内阻和电荷积累对电池电池端电压的影响。所提出的SOP估计方法不依赖于先前的电池测量数据,也不依赖于其他状态参数的估计,如荷电状态(SOC)。利用双向负载电流和峰值电流脉冲对商用锂离子电池进行了实验测量,以评估所提出的SOP估计方法的性能。该方法在所有双向电流测试中预测电池电压的最大均方根误差为13.07 mV,预测峰值电流脉冲电压的均方根误差为5.27 mV。这项工作是对ICDCM [L. L.]报告的修订和扩展版本。等人,2025。
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
CiteScore
8.60
自引率
0.00%
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0
审稿时长
8 weeks
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