Model identification and parameter estimation for LiFePO 4 batteries

Model identification and parameter estimation for LiFePO 4 batteries
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LiFePO 4 电池的模型辨识与参数估计

DOI:
10.1049/cp.2013.1889
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发表时间:
2013
影响因子:
6.6
通讯作者:
D. Howey
D. Howey
中科院分区:
材料科学2区
文献类型:
--
作者:
C. Birkl;D. Howey

文献摘要

被引文献

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提出了一种基于电流脉冲测量和电化学阻抗谱(EIS)的lifepo4电池动态模型识别和参数估计方法。建模工作的重点是扩散作为与电池管理系统相关的主要动态过程。采用等效电路模型方法,参数取决于温度和荷电状态(SOC)。模型参数化温度分别为50°C、20°C、0°C和-30°C, SOC介于10%和100%之间。模型辨识过程的初始参数估计由EIS提供。通过基于动态驱动循环曲线的电压仿真,验证了该模型(在恒定SOC下)在整个温度范围内以及C/2和9C之间的C-速率下的有效性。在所有温度和c -速率下,最大残差不超过68 mV或标称电池电压(V nom)的2%,均方根偏差保持在28 mV或V nom的0.8%。
We propose a method for dynamic model identification and parameter estimation of LiFePO 4 cells based on current pulse measurements and electrochemical impedance spectroscopy (EIS). Modelling efforts were focused on diffusion as the predominant dynamic process relevant to battery management systems. An equivalent circuit model approach was adopted with parameters dependant on temperature and state of charge (SOC). The model was parameterised at 50 °C, 20 °C, 0 °C and -30 °C and between 10 % and 100 % SOC. Initial parameter estimations for the model identification procedure were informed by EIS. The model was validated (at constant SOC), for the entire temperature range and at C-rates between C/2 and 9C, by voltage simulation based on a dynamic drive cycle profile. Maximal residuals did not exceed 68 mV or 2 % of the nominal cell voltage (V nom ) and root-mean-square deviations remained within 28 mV or 0.8 % of V nom at all temperatures and C-rates.