期刊文献+

锂电池模型参数估计与荷电状态估算研究 被引量:19

Parameter Analysis Method for Lithium- ion Battery Circuit Model and State of Charge Estimation
在线阅读 下载PDF
导出
摘要 采集了一款45Ah磷酸铁锂电池特性数据,分别在戴维南和PNGV两种实用电路模型中推导建立了z域下电池电压、电流,以及模型参数间的数学关系。采用最小二乘法多元线性回归理论,在Matlab环境下对模型参数进行了估算,得到两种模型在25℃温度下的参数估算结果,并对模型精度进行了验证,设计了适用于两种电池模型的锂电池SOC估算步骤,根据仿真得到的锂电池SOC估算情况分析得到PNGV模型精度更高,更适合用于实际电池建模系统中。 Data of 45Ah LiFePO4 Li-ion battery characteristics was collected and analyzed.The mathematical relationship between battery voltage, current and model parameters under the z domain was established respectively in the Thevenin and PNGV model, which were two kinds of practical circuits.The theory of least square method for the multivariate linear regression was used to estimate parameters of the models in the MATLAB environment.Parameters estimation results of the two models at 25℃temperature were obtained.Finally, the model accuracy was verified; and steps about two models of lithium battery suitable for SOC estimation were designed.The simulation of lithium battery SOC estimation shows that PNGV model accuracy is higher, more suitable for the actual battery modeling system.
出处 《武汉理工大学学报(信息与管理工程版)》 CAS 2015年第2期179-182,共4页 Journal of Wuhan University of Technology:Information & Management Engineering
基金 国家自然科学基金资助项目(51107092/E070602) 湖北省科技攻关计划基金资助项目(2011FAA009)
关键词 锂离子电池 戴维南模型 PNGV模型 参数分析 SOC估算 lithium-ion battery Thevenin model PNGV model parameters analysis SOC estimation
作者简介 张东华(1971-),男,湖北武汉人,武汉理工大学信息工程学院博士研究生.
  • 相关文献

参考文献9

二级参考文献70

共引文献271

同被引文献109

  • 1李新海,胡传跃,郭华军,何则强,崔佳.商品化锂离子电池的电化学特性[J].电池,2004,34(4):273-275. 被引量:7
  • 2鲁平,赵龙,陈哲.改进的Sage-Husa自适应滤波及其应用[J].系统仿真学报,2007,19(15):3503-3505. 被引量:62
  • 3齐国光,李建民,郏航,徐玉民.电动汽车电量计量技术的研究[J].清华大学学报(自然科学版),1997,37(3):46-49. 被引量:52
  • 4PILLER S, PERRIN M, JOSSEN A. Methods for state-of-charge determination and their applications [ J ] .Journal of power source, 2001,96:113.
  • 5SAGE A P, HUSA G W. Adaptive filtering with unknown prior statistics [ C ] // Proceedings of Joint Automatic Control Conference.Boulder Colorado: [ s.n. ] , 1969:760.
  • 6MERWE R,WAN E A.The Square-root unscented Kalman filter for state and parameter estimation [ C ]//IEEE International Conference on Acoustics, Speech, and Signal Processing. [ S. 1. ] : IEEE,2001 : 3461.
  • 7Fengchun Sun, RuiXiong, Hongwen He. Estimation of State- of-Charge and State-of-Power Capability of Lithium-ion Bat- tery Considering Varying Health Conditions [J]. Journal of Power Sources, 2014, 259(2014): 166-176.
  • 8Perez G, Garmendia M, Reynaud JF, et al. Enhanced clos- ed loop State of Charge estimator for lithium-ion batteries based on Extended Kalman Filter [J]. Applied Energy, 2015,155: 834-845.
  • 9Christian Fleischer, WladislawWaag, Hans-Martin Heyn et al. On-line adaptive battery impedance parameterand state estimation considering physical principles in reduced order equivalent circuit battery models Part 1. Requirements, critical review of methods and modeling [J]. Journal of Power Sources, 2014, 260(2014): 276-291.
  • 10Simon Schwunk, Nils Armbruster, Sebastian Straub. Particl- efilter for state of charge and state of health estimation for lithiu- meiron phosphate batteries [J]. Journal of Power Sources, 2013,239: 705-710.

引证文献19

二级引证文献133

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部