Characterization of high-power lithium-ion batteries by electrochemical impedance spectroscopy. II: Modelling
Characterization of high-power lithium-ion batteries by electrochemical impedance spectroscopy. II: Modelling
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DOI：
10.1016/j.jpowsour.2010.07.071
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发表时间：
2011-06-15
影响因子：
9.2
通讯作者：
Sauer, D. U.
中科院分区：
文献类型：
--
作者：
Andre, D.;Meiler, M.;Sauer, D. U.
对锂离子电池建模的一种常见方法是应用等效电路(EC)模型。在这项工作中，建立了两种不同的EC模型，并对商用6.5Ah型高功率锂离子电池进行了参数化。第一个EC模型由一个欧姆电阻(R)、一个电感(L)和三个RC元件(电容(C)和电阻并联)组成。第二个EC模型由一个R、一个L、两个ZARC元素和一个WARBURG元素组成。估算的参数被用于建立两个经验电池模型，该模型能够根据电流、温度和SOC来预测电池的电压。因此，电池内部电阻Ri基于EC模型和Butler-Volmer调整。这两种方法都通过覆盖典型汽车应用的电流剖面进行了验证，以证明模型在低温和高动态运行时的性能。两种EC模型均能实现准确的电压预测。第二个更复杂的模型能够更准确地预测电池电压，但代价是计算工作量高达四倍。(C)2010爱思唯尔B.V.保留所有权利。
A common way to model lithium-ion batteries is to apply equivalent circuit (EC) models. In this work two different EC models are build up and parameterized for a commercial 6.5 Ah high-power lithium-ion cell. Measured impedance spectroscopy data depending on temperature and state of charge (SOC) are used for parameter estimation.The first EC model consists of an ohmic resistor (R), an inductor (L) and three RC-elements (a parallel connection of a capacitor (C) and a resistor). The second EC model consists of one R, one L, two Zarc elements and a Warburg element. The estimated parameters were used to develop two empirical electrical cell models which are able to predict the voltage of the cells depending on current, temperature and SOC. Hereby the internal cell resistance Ri is based on the EC models and a Butler-Volmer adjustment. Both approaches were validated by current profiles, which cover typical automotive applications to prove the model performance at low temperatures and high dynamic operation. An accurate voltage prediction could be realized with both EC models. The second, more complex, model is able to predict cell voltage more precisely, but at the expense of up to four times higher computational effort. (C) 2010 Elsevier B.V. All rights reserved.