Particle-filtering-based estimation of maximum available power state in Lithium-Ion batteries
Particle-filtering-based estimation of maximum available power state in Lithium-Ion batteries
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DOI：
10.1016/j.apenergy.2015.09.092
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发表时间：
2016
期刊：
影响因子：
11.2
通讯作者：
Claudio Burgos-Mellado;M. Orchard;Mehrdad Kazerani;R. Cárdenas;D. Śaez
中科院分区：
文献类型：
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作者：
Claudio Burgos-Mellado;M. Orchard;Mehrdad Kazerani;R. Cárdenas;D. Śaez
电池储能系统（BESS）对于微电网和电动汽车相关的应用非常重要。如果将BESS用作主要能源，则需要在电池管理系统（BMS）的设计中包括用于估计关键变量（例如充电状态（SoC）和健康状态（SoH））的适当程序。此外，在电池暴露于高充电和放电速率的应用中，还期望估计最大可用功率状态（SoMPA）。在这方面，本文提出了一种新的方法来估计锂离子电池中的SoMPA。该方法基于非线性动态模型制定了电池功率的优化问题，其中得到的解决方案是SoC的函数。在电池模型中，极化电阻使用模糊规则建模，模糊规则是SoC和放电（充电）电流的函数。粒子滤波算法被用作在线估计技术，主要是因为即使在非高斯不确定性源的情况下，这些算法也允许近似SoC和SoMPA的概率密度函数。所提出的方法SoMPA估计使用的实验数据进行验证，从一个实验装置设计的充电和放电的锂离子电池。
Battery Energy Storage Systems (BESS) are important for applications related to both microgrids and electric vehicles. If BESS are used as the main energy source, then it is required to include adequate procedures for the estimation of critical variables such as the State of Charge (SoC) and the State of Health (SoH) in the design of Battery Management Systems (BMS). Furthermore, in applications where batteries are exposed to high charge and discharge rates it is also desirable to estimate the State of Maximum Power Available (SoMPA). In this regard, this paper presents a novel approach to the estimation of SoMPA in Lithium-Ion batteries. This method formulates an optimisation problem for the battery power based on a non-linear dynamic model, where the resulting solutions are functions of the SoC. In the battery model, the polarisation resistance is modelled using fuzzy rules that are function of both SoC and the discharge (charge) current. Particle filtering algorithms are used as an online estimation technique, mainly because these algorithms allow approximating the probability density functions of the SoC and SoMPA even in the case of non-Gaussian sources of uncertainty. The proposed method for SoMPA estimation is validated using the experimental data obtained from an experimental setup designed for charging and discharging the Lithium-Ion batteries.