锂离子电池能量状态估计的等效电路模型

Kaiyuan Li, K. Tseng
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引用次数: 19

摘要

对于基于锂离子电池的储能系统来说,能量状态是能量管理和运行优化的关键指标。在实际的基于锂离子电池的建筑环境储能系统中,负载电流的变化会导致电池剩余能量的估计值偏离实际值。为了解决这一问题,提出了锂离子电池放电过程中和放电后能量状态估计的等效电路模型。该方法引入能量状态来代替传统的SOC指标,描述动态负载电流条件下锂离子电池的电学行为和剩余能量,从而考虑电池内阻和电化学反应过程中的内能损失,以及放电过程中OCV减小的影响。本研究采用了前人关于建筑用锂离子电池储能装置能效研究的实验数据。最后,对20 Ah LTO电池的仿真结果表明,所提出的等效电路能够准确地预测电池的能量状态。更重要的是,在捕捉电池能量变化的准确性方面,能量状态似乎比SOC有所提高。因此,本研究为估算锂离子电池的SOE和捕获电池在动态负载下的能量行为提供了可行的解决方案。
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An equivalent circuit model for state of energy estimation of lithium-ion battery
For a Li-ion battery based energy storage system, the state of energy is a key index for the energy management and operation optimization. In the actual Li-ion batteries based energy storage system in building environment, the varying load current will lead to the estimated battery's residual energy deviated from the real value. To solve this problem, an equivalent circuit model is presented for the Li-ion battery's state of energy estimation during and after discharging process. The state of energy is introduced in the proposed approach to replace the traditional index SOC, to describe the electrical behaviors and the residual energy of the Li-ion battery under dynamic load current conditions, so that the battery's internal energy loss on its internal resistance and during the electrochemical reaction processes, as well as the effects of the decrease of the OCV during discharging are taken into consideration. Experimental data of the previous study regarding energy efficiency of Li-ion batteries used as energy storage devices in building is utilized in the present study. Finally, the simulation results on 20 Ah LTO batteries indicate that the proposed equivalent circuit is competent to predict the state of energy accurately. What's more, state of energy appears an improvement over SOC in terms of accuracy in capturing battery's energy changes. Thus, this study provides a viable solution for estimating Li-ion battery's SOE and capturing the battery's energy behaviors under dynamic loads.
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