SOH ESTIMATION AND PREDICTION METHOD FOR CELLS OF LITHIUM-ION ENERGY STORAGE POWER STATION BASED ON INFORMATION ENTROPY OF CHARACTERISTIC DATA

Xia Xiangyang; Yue Jiahui; Zhang Yuan; Xia Tian; Wang Mingqi

doi:10.19912/j.0254-0096.tynxb.2023-1653

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (2) : 78-89. DOI: 10.19912/j.0254-0096.tynxb.2023-1653

SOH ESTIMATION AND PREDICTION METHOD FOR CELLS OF LITHIUM-ION ENERGY STORAGE POWER STATION BASED ON INFORMATION ENTROPY OF CHARACTERISTIC DATA

Xia Xiangyang, Yue Jiahui, Zhang Yuan, Xia Tian, Wang Mingqi

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Abstract

In response to the challenge of estimating the aging degree and consistency of cells accurately in lithium-ion battery energy storage power station, this paper proposes a method for evaluating and predicting the health status of these cells based on the information entropy of characteristic data. This method involves optimizing and preprocessing traditional attribute data to form a characteristic data set. And it applies the concept of information entropy to analyze specific operation segment data of energy storage power stations innovatively. By calculating the entropy value of the characteristic data, the level of orderliness of the data can be determined, enabling analysis and assessment of the aging degree and consistency of cells within the cluster. Additionally, a neural network is utilized to predict the entropy value for health status short-term forecasting of the energy storage power station. The feasibility and effectiveness of this method, based on characteristic data information entropy for evaluating and predicting the health status of cells, are validated through simulation models of 20S1P cells and actual operation data from energy storage power plants. Furthermore, the method is applied in the actual engineering project involving a 100 kW/200 kWh energy storage system.

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lithium-ion battery / battery cluster / information entropy / characteristic data / constant current discharge / health state

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Xia Xiangyang, Yue Jiahui, Zhang Yuan, Xia Tian, Wang Mingqi. SOH ESTIMATION AND PREDICTION METHOD FOR CELLS OF LITHIUM-ION ENERGY STORAGE POWER STATION BASED ON INFORMATION ENTROPY OF CHARACTERISTIC DATA[J]. Acta Energiae Solaris Sinica. 2025, 46(2): 78-89 https://doi.org/10.19912/j.0254-0096.tynxb.2023-1653

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