Extended operating range for reduced-order model of lithium-ion cells
Extended operating range for reduced-order model of lithium-ion cells
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DOI：
10.1016/j.jpowsour.2013.12.134
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发表时间：
2014-06
影响因子：
9.2
通讯作者：
James L. Lee;Lukas L. Aldrich;Kirk D. Stetzel;G. Plett
中科院分区：
文献类型：
--
作者：
James L. Lee;Lukas L. Aldrich;Kirk D. Stetzel;G. Plett
在以前的论文中，我们开发了一种方法来产生基于物理的一维离散时间状态空间降阶模型（ROM）的锂离子电池。该方法依赖于围绕固定的荷电状态（SOC）和工作温度设定点线性化标准多孔电极方程。ROM是能够跟踪一个高度动态的输入准确地接近线性化设定点，但其性能下降，无论是电池的SOC或温度远离此linearizationpoint.This本文介绍了一种方法来扩展的SOC和温度范围广泛的ROM的精度使用模型混合的方法。我们的研究结果表明，该方法准确地模拟了电池的电压和内部电化学变量在很宽的温度和SOC范围内，几乎没有增加计算复杂性。
In a previous paper, we developed a method to produce a physics-based one-dimensional discrete-time state-space reduced-order model (ROM) of a lithium-ion cell. The method relies on linearizing the standard porous-electrode equations around a fixed state-of-charge (SOC) and operating temperature setpoint. The ROM is able to track a highly dynamic input accurately near the linearization setpoint, but its performance degrades as either the cell's SOC or temperature move away from this linearization point.This paper describes a way to extend the accuracy of the ROM over a wide range of SOCs and temperatures using a model-blending approach. Our results demonstrate that the approach accurately models the cell's voltage and internal electrochemical variables over a wide range of temperature and SOC, with little added computational complexity.