An Accurate SOC Estimation Method for Lithium-ion Batteries which Considers Thermal Variation
An Accurate SOC Estimation Method for Lithium-ion Batteries which Considers Thermal Variation
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DOI：
10.5796/electrochemistry.83.852
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发表时间：
2015-10
期刊：
影响因子：
2.5
通讯作者：
R. Ishizaki;Lei Lin;M. Fukui
中科院分区：
文献类型：
--
作者：
R. Ishizaki;Lei Lin;M. Fukui
提出了一种基于扩展卡尔曼滤波的锂离子电池SOC估计系统。估计的准确性强烈依赖于电池模型的准确性。我们已经制定了新的等效电路模型，涵盖温度和SOC的依赖性。其结果是，估计的错误率已显着改善。实验结果表明，新的SOC估计系统在很宽的温度范围内得出非常准确的结果。©日本电化学学会版权所有。
This paper discusses an SOC estimation system for lithium ion batteries based on the extended Kalman filter. The accuracy of the estimation is strongly dependent on accuracy of the battery model. We have newly formulated the equivalent circuit model that covers temperature and SOC dependencies. As the result, the error rate of the estimation has been improved significantly. The experimental results show that the new SOC estimation system derives very accurate results for wide range of temperature. © The Electrochemical Society of Japan, All rights reserved.