A unified open-circuit-voltage model of lithium-ion batteries for state-of-charge estimation and state-of-health monitoring
A unified open-circuit-voltage model of lithium-ion batteries for state-of-charge estimation and state-of-health monitoring
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DOI：
10.1016/j.jpowsour.2014.02.026
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发表时间：
2014-07-15
影响因子：
9.2
通讯作者：
Peng, Huei
中科院分区：
文献类型：
--
作者：
Weng, Caihao;Sun, Jing;Peng, Huei
开路 - 电压（OCV）数据被广泛用于表征在不同条件下电池性能。它包含重要信息，可以帮助识别电池最先进的（SOC）和健康状况（SOH）。尽管已经开发了各种OCV型号用于电池SOC估算，但很少设计用于SOH监视。在本文中，我们提出了一个统一的OCV模型，可以应用于SOC估计和SOH监控。与其他现有模型相比，使用新模型的SOC估计进行了改进。此外，结果表明，提出的OCV模型可用于执行电池SOH监视，因为它可以根据增量容量分析（ICA）有效地捕获老化信息。还解决了参数分析和模型复杂性降低。实验数据用于在SOC估计和SOH监视的应用程序上下文中说明模型及其简化版本的有效性。 （c）2014 Elsevier B.V.保留所有权利。
Open-circuit-voltage (OCV) data is widely used for characterizing battery properties under different conditions. It contains important information that can help to identify battery state-of-charge (SOC) and state-of-health (SOH). While various OCV models have been developed for battery SOC estimation, few have been designed for SOH monitoring. In this paper, we propose a unified OCV model that can be applied for both SOC estimation and SOH monitoring. Improvements in SOC estimation using the new model compared to other existing models are demonstrated. Moreover, it is shown that the proposed OCV model can be used to perform battery SOH monitoring as it effectively captures aging information based on incremental capacity analysis (ICA). Parametric analysis and model complexity reduction are also addressed. Experimental data is used to illustrate the effectiveness of the model and its simplified version in the application context of SOC estimation and SOH monitoring. (C) 2014 Elsevier B.V. All rights reserved.