基于Parameter Estimation Toolbox的锂离子电池参数辨识
Parameter Identification of Li-ion Battery Based on Parameter Estimation Toolbox
摘要: 近几年迎来锂离子电池的研究热潮,建立可靠的电池模型和进行准确的电池参数辨识是开展电池研究的首要任务。文章以三元锂电池为研究对象,选用兼顾准确度和简易度的二阶RC电池模型,采用MATLAB自带的Parameter Estimation Toolbox对电池模型进行参数辨识。最后在HPPC工况和DST工况下验证了电池模型精准性,证明电池参数辨识具有很好的效果,该辨识方法简单实用,可以广泛用于电池的研究。
Abstract:
In recent years, the research of li-ion battery is booming. The primary task of battery research is to establish a reliable battery model and identify the battery parameters accurately. Taking ternary lithium battery as the research object, the second-order RC battery model with both accuracy and simplicity is selected, and the parameter estimation toolbox of MATLAB is used to identify the pa-rameters of the battery model. Finally, the accuracy of the battery model is verified under HPPC and DST conditions, which proves that the battery parameter identification has a good effect. The identi-fication method is simple and practical, and can be widely used in battery research.
参考文献
|
[1]
|
李玲慧. 电池管理系统的研究与设计[D]: [硕士学位论文]. 天津: 天津大学, 2014.
|
|
[2]
|
张东华, 马燕, 陈思琪, 等. 锂电池模型参数估计与荷电状态估算研究[J]. 武汉理工大学学报(信息与管理工程版), 2015, 37(2): 179-182.
|
|
[3]
|
Li, S. and Cheng, X. (2014) A Comparative Study on RC Models of Lithium-Ion Battery. 2014 IEEE Conference and Expo Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), 31 August - 3 September 2014, Beijing, 1-4.
|
|
[4]
|
赵红光, 李静, 张洪凯, 等. 动力型锂离子电池与燃料电池发展现状与展望[J]. 电池工业, 2017, 21(2): 46-50.
|
|
[5]
|
袁赛, 邓志刚, 帅孟超. 大容量锂电池在线参数辨识及SOC联合估计[J]. 电气开关, 2019, 57(2): 7-11.
|
|
[6]
|
Zheng, F.D., Xing, Y.J., Jiang, J.C., et al. (2016) Influence of Different Open Circuit Voltage Tests on State of Charge Online Estimation for Lithium-Ion Batteries. Applied Energy, 183, 513-525. [Google Scholar] [CrossRef]
|