赵航, 张旭, 刘欢, 等. 考虑温度影响的可重构式储能系统电池荷电状态的估计[J]. 现代电力. DOI: 10.19725/j.cnki.1007-2322.2022.0431
引用本文: 赵航, 张旭, 刘欢, 等. 考虑温度影响的可重构式储能系统电池荷电状态的估计[J]. 现代电力. DOI: 10.19725/j.cnki.1007-2322.2022.0431
ZHAO Hang, ZHANG Xu, LIU Huan, et al. State Estimation of the Battery State of Charge in Reconfigurable Energy Storage Systems Considering Temperature Effects[J]. Modern Electric Power. DOI: 10.19725/j.cnki.1007-2322.2022.0431
Citation: ZHAO Hang, ZHANG Xu, LIU Huan, et al. State Estimation of the Battery State of Charge in Reconfigurable Energy Storage Systems Considering Temperature Effects[J]. Modern Electric Power. DOI: 10.19725/j.cnki.1007-2322.2022.0431

考虑温度影响的可重构式储能系统电池荷电状态的估计

State Estimation of the Battery State of Charge in Reconfigurable Energy Storage Systems Considering Temperature Effects

  • 摘要: 为准确估计锂离子电池的荷电状态(state of charge,SOC),在可重构电池模组的基础上考虑温度影响,结合图计算可实现对温度修正后可重构电池SOC的估计。首先,通过实验获取不同温度下电池的开路电压(open circuit voltage,OCV)和SOC的基准关系,并且搭建重构电池组热模型,分析温度的影响;其次,建立可重构电池网络图模型,利用深度优先图遍历访问电池拓扑,并且寻找温度修正后的最优连接方式,利用开路电压法获取该连接方式下待估计单体电池的SOC。最后,通过仿真分析结果,证明经过温度修正,可以减小可重构电池拓扑中因温度产生的误差,提高可重构式储能系统的SOC估计精度。

     

    Abstract: To estimate the state of charge (abbr. SOC) of the li-ion battery accurately, considering the temperature effect on the basis of the reconfigurable battery module, the temperature-corrected SOC of the reconfigurable battery could be estimated by combining with graph calculation. Firstly,the open circuit voltage (abbr. OCV) and SOC reference relationships of the battery at different temperatures were obtained through experiments, and a thermal model of the reconfigurable battery pack was built to analyze the effect of temperature. Secondly, a reconfigurable battery network graph model was built, the depth-first graph was used to traverse and access battery topology, the optimal connection method after temperature correction was found, and the SOC of the individual battery was estimated using the OCV method. Finally, simulation results demonstrate that temperature correction can reduce the temperature error in reconfigurable battery topology and improve the SOC estimation accuracy of the reconfigurable energy storage system.

     

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