Online Monitoring Method of Battery Stack Inconsistency Based on Discharge Quantity of Battery Clusters

doi:10.11930/j.issn.1004-9649.202211089

Abstract

Abstract: Batteries cannot remain completely consistent during production and the degree of aging is inconsistent in different operating conditions. Therefore, to avoid the “barrel effect” in large-scale energy storage power stations, this paper proposes an online monitoring method of battery stack inconsistency based on the discharge quantity of battery clusters. With the discharge quantity in the energy storage station as a characteristic parameter, the corresponding relationship between the battery stack and the discharge quantity of battery clusters is analyzed quantitatively. Meanwhile, linear fitting is conducted on the two variables to obtain their change rate k and realize the online monitoring of battery stack consistency. The change rate k is recorded as a timing signal and serves as a BP neural network input to achieve short-time prediction and accurately estimate the safe operation of the energy storage power station. Finally, by analyzing the actual operation data of an energy storage power station in Hunan, it is calculated that the MAE is 0.406%; the MSE is 0.002%; the RMSE is 0.489%. All of the values are less than 0.5%, verifying the feasibility and effectiveness of the proposed method.

Key words: inconsistency, lithium-ion battery cluster, lithium-ion battery stack, discharge quantity, state estimation

ZHANG Yuan, XIA Xiangyang, YUE Jiahui, LIU Daifei, WANG Mingqi. Online Monitoring Method of Battery Stack Inconsistency Based on Discharge Quantity of Battery Clusters[J]. Electric Power, 2023, 56(7): 207-215,227.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202211089

https://www.electricpower.com.cn/EN/Y2023/V56/I7/207

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