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面向新型电力系统储能电站的锂电池荷电状态评估方法研究

杨涛 文贤馗 谈竹奎 曾鹏 胡明辉

电测与仪表2025,Vol.62Issue(3):30-37,8.
电测与仪表2025,Vol.62Issue(3):30-37,8.DOI:10.19753/j.issn1001-1390.2025.03.004

面向新型电力系统储能电站的锂电池荷电状态评估方法研究

Research on SOC evaluation method of lithium battery for energy storage station in novel power system

杨涛 1文贤馗 1谈竹奎 1曾鹏 1胡明辉2

作者信息

  • 1. 贵州电网有限责任公司电力科学研究院,贵阳 550002
  • 2. 中能国研(北京)电力科学研究院,北京 100000
  • 折叠

摘要

Abstract

As an important part of the energy storage power station of novel power system,the lithium battery needs to estimate the battery power,that is,the state of charge in real time during its operation,so as to avoid the over-charge and over discharge failures of the energy storage lithium battery,which brings security risks to the energy storage system.In order to accurately estimate the battery state of charge(SOC),this paper tests and studies lithi-um batteries with different SOCs in a wide temperature range based on electrochemical impedance spectroscopy(EIS),and proposes a SOC evaluation method of lithium battery under wide temperature range based on EIS.The experimental results show that in the normal operating temperature range(15~45 ℃),the impedance amplitude in the 10~1000 Hz frequency band can effectively characterize the battery SOC at different temperatures,while the impedance phase basically does not change with the change of the battery SOC.By comparing the impedance ampli-tude and phase at different temperatures and different SOCs,this paper selects 10 Hz,100 Hz,and 1000 Hz as the characteristic frequencies,and uses the impedance amplitude and ambient temperature at the three frequencies as input parameters.Combined with the deep neural network algorithm(DNN),the SOC estimation of lithium battery is realized.The results show that the SOC estimation model established in this paper can control the estimation error within 4%,which can effectively provide a reference for lithium battery SOC estimation and improve the equipment management level of the energy storage power station in novel power system.

关键词

新型电力系统/锂电池/荷电状态估计/电化学阻抗谱

Key words

novel power system/lithium battery/SOC estimation/EIS

分类

信息技术与安全科学

引用本文复制引用

杨涛,文贤馗,谈竹奎,曾鹏,胡明辉..面向新型电力系统储能电站的锂电池荷电状态评估方法研究[J].电测与仪表,2025,62(3):30-37,8.

基金项目

南方电网有限责任公司科技项目(GZKJXM20210373) (GZKJXM20210373)

电测与仪表

OA北大核心

1001-1390

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