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

doi:10.11930/j.issn.1004-9649.202201061

Abstract

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

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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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202201061

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

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