基于欧姆内阻压降的电池簇不一致性在线监测方法研究

doi:10.11930/j.issn.1004-9649.202201061

中国电力 ›› 2022, Vol. 55 ›› Issue (8): 87-95.DOI: 10.11930/j.issn.1004-9649.202201061

• 新型电力系统储能关键技术应用 • 上一篇下一篇

基于欧姆内阻压降的电池簇不一致性在线监测方法研究

刘文军^1,2, 欧名勇^1,2, 夏向阳^2,3, 李湘华^1,2, 岳家辉^2,3

1. 国网湖南省电力有限公司经济技术研究院，湖南长沙 410004;
2. 规模化电池储能应用技术湖南省工程研究中心，湖南长沙 410004;
3. 长沙理工大学电气与信息工程学院，湖南长沙 410114

收稿日期:2022-01-18 修回日期:2022-06-17 发布日期:2022-08-18
作者简介:刘文军（1986—），男，高级工程师，博士，从事新型电力系统与储能技术研究、电网规划、线损管理等，E-mail：wenjunliu1346@163.com
基金资助:
国网湖南省电力有限公司科技项目（大规模储能电站电池安全运行及并网调试关键技术研究，5216A220000X）；湖南省科技创新平台与人才计划资助项目（2019TP1053）。

Research on Online Monitoring Method of Battery Cluster Inconsistency Based on Ohmic Internal Resistance Voltage Drop

LIU Wenjun^1,2, OU Mingyong^1,2, XIA Xiangyang^2,3, LI Xianghua^1,2, YUE Jiahui^2,3

1. State Grid Hunan Electric Power Company Limited Economic & Technical Research Institute, Changsha 410004, China;
2. Hunan Engineering Research Center of Large-scale Battery Energy Storage Application Technology, Changsha 410004, China;
3. School of Electrical & Information Engineering, Changsha University of Science and Technology, Changsha 410114, China

Received:2022-01-18 Revised:2022-06-17 Published:2022-08-18
Supported by:
This work is supported by Science and Technology Project of State Grid Hunan Electric Power Company Limited (Research on Key Technologies of Battery Safety Operation and Grid Connection Commissioning of Large-Scale Energy Storage Power Station, No.5216A220000X), Science-Technology Innovation Platform and Talents Program of Hunan Province (No.2019TP1053).

摘要/Abstract

摘要： 由于电池pack箱初始性能参数及外部工作环境存在一定差异，针对其工作过程中不一致性问题的安全监测极为重要。若对箱体中每个单体电池各项进行实时监测与处理，数据采集量过大，易产生不良数据。因此在实现保障储能电站电池簇安全运行状态的条件下，通过探究在恒流放电过程中因不一致性而引发的电池簇与电池pack箱欧姆内阻压降浮动规律，提出一种基于欧姆内阻压降的电池簇不一致性在线评估方法。通过获取电池簇与表征单体因欧姆内阻造成的压降幅值，进行实时拟合得到线性关系，并求导得到变化速率，对变化速率进行在线记录，若电池簇因电池pack箱老化而存在不一致问题，则变化速率呈现增大趋势，利用此特征进行在线评估。最后，通过实验对所提方法的可行性进行验证。

关键词: 锂离子电池组, 锂离子电池簇, 内阻, 不一致性, 状态估计

Abstract: Due to the difference between the initial performance parameters and the external working environment of battery packs, safety monitoring for the inconsistency in the working process is important. If each single cell in the pack is detected and processed in real time, excessive data will be collected, which makes bad data easily appear. Therefore, under the condition of ensuring the safe operation of battery clusters in energy storage power stations, this paper explores the floating law of voltage drop caused by the ohmic internal resistance of battery clusters and battery packs during the constant current discharge and proposes an online evaluation method of battery cluster inconsistency based on ohmic internal resistance voltage drop. By this method, the voltage drop caused by the ohmic internal resistance of battery clusters and characterization pack is obtained, and the linear relationship is established by real-time fitting. The change rate is calculated by derivation and recorded online. If battery clusters are inconsistent due to the aging of battery packs, the change rate will increase, and the online evaluation will be carried out accordingly. The feasibility of the proposed method is verified by experiments.

Key words: lithium-ion battery pack, lithium-ion battery cluster, internal resistance, inconsistency, state estimation

刘文军, 欧名勇, 夏向阳, 李湘华, 岳家辉. 基于欧姆内阻压降的电池簇不一致性在线监测方法研究[J]. 中国电力, 2022, 55(8): 87-95.

LIU Wenjun, OU Mingyong, XIA Xiangyang, LI Xianghua, YUE Jiahui. Research on Online Monitoring Method of Battery Cluster Inconsistency Based on Ohmic Internal Resistance Voltage Drop[J]. Electric Power, 2022, 55(8): 87-95.

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https://www.electricpower.com.cn/CN/Y2022/V55/I8/87

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基于欧姆内阻压降的电池簇不一致性在线监测方法研究

Research on Online Monitoring Method of Battery Cluster Inconsistency Based on Ohmic Internal Resistance Voltage Drop

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基于欧姆内阻压降的电池簇不一致性在线监测方法研究

Research on Online Monitoring Method of Battery Cluster Inconsistency Based on Ohmic Internal Resistance Voltage Drop

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