| 引用本文: | 任碧莹,孙 佳,孙向东,等.提高串联锂电池SOC在线估计快速性的简化二阶模型[J].电力系统保护与控制,2022,50(22):111-118.[点击复制] |
| REN Biying,SUN Jia,SUN Xiangdong,et al.A simplified second-order model for improving the speed of on-line state of chargeestimation of series lithium-ion batteries[J].Power System Protection and Control,2022,50(22):111-118[点击复制] |
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| 摘要: |
| 锂离子电池最常用的等效电路模型为二阶RC等效电路模型。基于该模型的参数辨识存在所需辨识参数多、运算量大的缺点，同时荷电状态(state of charge, SOC)估计中状态方程存在复杂的指数运算等问题，这些都使得难以对多个串联电池进行SOC的在线估计。因此，提出了一种简化二阶电池模型。该模型忽略电池内部极化反应，只关注其外特性，使得参数辨识个数减少。该简化模型也使得状态空间方程中需要估计的状态变量个数减少，避免了复杂的指数运算，降低了计算复杂度和整体的运算量，有利于多个串联锂电池SOC的实时在线估计。通过对单体锂电池和串联锂电池进行参数辨识和SOC估计测试，验证了所提的简化模型在保证参数辨识及SOC估计精度的同时，大大提升了系统运算速度，进而提高了SOC估计的快速性。 |
| 关键词: 锂离子电池 简化二阶模型 参数辨识 SOC估计 |
| DOI：DOI:?10.19783/j.cnki.pspc.220174 |
| 投稿时间：2022-02-14修订日期：2022-02-14 |
| 基金项目:国家自然科学基金项目资助(51577155)；陕西省自然科学基金项目资助(2020JM-449) |
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| A simplified second-order model for improving the speed of on-line state of chargeestimation of series lithium-ion batteries |
| REN Biying,SUN Jia,SUN Xiangdong,XU Weinong |
| (School of Electrical Engineering, Xi’an University of Technology, Xi’an 710054, China) |
| Abstract: |
| The most commonly used equivalent circuit model of a lithium-ion battery is the second-order RC equivalent circuit model. Parameter identification based on this model has the disadvantages of many identification parameters and a large amount of calculation. At the same time, there are complex exponential operations in the state of charge (SOC) estimation, and these make it difficult to estimate the SOC of multiple series batteries on-line. Therefore, a simplified second-order battery model is proposed, one which ignores the internal polarization reaction and only pays attention to its external characteristics, so as to reduce the amount of parameter identification. The simplified model also reduces the number of state variables to be estimated in the state space equation, avoids complex exponential operation, reduces the computational complexity and the overall amount of operation, and is conducive to the real-time online estimation of the SOC of multiple series lithium batteries. Through the parameter identification and SOC estimation test of a single lithium-ion battery and series lithium-ion batteries, it is verified that the proposed simplified model not only ensures the accuracy of parameter identification and SOC estimation, but also greatly increases the operational speed of the system, and then improves the speed of SOC estimation.
This work is supported by the National Natural Science Foundation of China (No. 51577155). |
| Key words: lithium-ion battery simplified second-order model parameter identification SOC estimation |
