Dynamic electric behavior and open-circuit-voltage modeling of LiFePO4-based lithium ion secondary batteries
Dynamic electric behavior and open-circuit-voltage modeling of LiFePO4-based lithium ion secondary batteries
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DOI：
10.1016/j.jpowsour.2010.06.098
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发表时间：
2011-01-01
影响因子：
9.2
通讯作者：
Sauer, Dirk Uwe
中科院分区：
文献类型：
--
作者：
Roscher, Michael A.;Sauer, Dirk Uwe
准确的电池建模是电池系统设计过程和运行中的关键因素之一。因此，了解不同电芯的电特性是必须的。这项工作深入了解了包含lifepo4基正极活性材料的锂离子电池（Li-ion）的电气特性，重点是其特定的开路电压（OCV）特性，包括滞后和特殊的OCV恢复效应，在电流负载中断后持续几分钟甚至几小时。结合大功率电池的OCV测量数据对这些效应进行了阐述。推导了简单的经验模型，并将其用于基于模型的状态估计算法。完整的电池模型包括阻抗模型、滞回模型和OCV恢复模型部分。引入的模型能够使用基于模型的状态估计方法精确地评估电池的荷电状态（SOC）。(C) 2010 Elsevier B.V.版权所有
Accurate battery modeling is one of the key factors in battery system design process and operation as well. Therefore, the knowledge of the distinct electric characteristics of the battery cells is mandatory. This work gives insight to the electric characteristics of lithium ion batteries (Li-ion) comprising LiFePO4-based cathode active materials with emphasis on their specific open-circuit-voltage (OCV) characteristics including hysteresis and special OCV recovery effects, which last for several minutes or even hours after a current load is interrupted. These effects are elucidated incorporating OCV measurement data of high power cells. Simple empiric models are derived and used in a model-based state estimation algorithm. The complete battery model includes an impedance model, a hysteresis model and an OCV recovery model part. The introduced model enables the assessment of the cells' state-of-charge (SOC) precisely using model-based state estimation approaches. (C) 2010 Elsevier B.V. All rights reserved.