锂离子电池建模技术研究

杨玺; 刘士诚; 周炜钦; 黄启祥; 祖雯昕; 屈树慷; 李建林

doi:10.16513/j.2096-2185.DE.2106538

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分布式能源 ›› 2021, Vol. 6 ›› Issue (4) : 77-82. DOI: 10.16513/j.2096-2185.DE.2106538

“氢能与可再生能源系统集成控制技术”专题

锂离子电池建模技术研究

杨玺 ¹ ,
刘士诚 ¹ ,
周炜钦 ¹ ,
黄启祥 ¹ ,
祖雯昕 ² ,
屈树慷 ² ,
李建林 ²

作者信息 +

Research on Modeling Technology of Lithium Battery

Author information +

文章历史 +

摘要

随着“碳中和”、“碳达峰”目标的提出，储能技术得到快速发展，其中锂离子电池因其安全性能较高、寿命长等优点得到广泛应用。首先，选取Thevenin等效电路模型对锂离子电池进行建模，并搭建Simulink仿真模型；其次，采用扩展卡尔曼滤波算法对电池荷电状态(state of charge，SOC)进行估计，仿真实验结果验证了所选Thevenin模型具有较高的准确性；最后，对电池建模存在的问题进行了梳理，并对建立具有高精度、高适用性锂离子电池仿真模型及未来的发展方向进行了展望。

Abstract

With the introduction of the goal of carbon neutral and carbon peak, energy storage technology has been developed rapidly, among which lithium-ion batteries have been widely used due to their high safety performance and long life. In this paper, the Thevenin equivalent circuit model was selected to model the lithium-ion battery, and a Simulink simulation model was built, and then the extended Kalman filter algorithm was used to estimate the state of charge (SOC) of the battery. The simulation experiment results also verify the selection the Thevenin model has high accuracy. Finally, this paper sorted out the problems in battery modeling, and looked forward to the establishment of a high-precision, high-applicability lithium-ion battery simulation model and future development directions.

导出引用

杨玺, 刘士诚, 周炜钦, 等. 锂离子电池建模技术研究[J]. 分布式能源. 2021, 6(4): 77-82 https://doi.org/10.16513/j.2096-2185.DE.2106538

Xi YANG, Shicheng LIU, Weiqin ZHOU, et al. Research on Modeling Technology of Lithium Battery[J]. Distributed Energy Resources. 2021, 6(4): 77-82 https://doi.org/10.16513/j.2096-2185.DE.2106538

中图分类号： TK29

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