Parametric study of limiting cell design variables in a lithium battery pack

Corina. E. Aimo, Ignacio Schmidhalter, P. Aguirre
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Abstract

The influence of design parameters at cell level on performance at battery pack level is analyzed, in order to find the main causes of cell voltage unbalances and the consequent loss of battery pack capacity. The study parameters are electrode thicknesses, electrode porosities and electrolyte salt concentration. Three battery packs are defined with a 20 percent range variation in the values of the named design parameters. The configuration of the analyzed pack consists of six lithium cells, consisting of graphite anode and manganese oxide cathode, connected in series. For this analysis, a mathematical model with physical and phenomenological basis is applied in an optimization environment. The proposed optimization framework consists of maximizing the pack capacity by operating in simple steady-state charge-discharge cycles. The limiting cells are easily identified from the active bounds in key variables defined by the model. The most influential design parameter at the pack level, for the considered cell chemistry, turns out to be electrode porosity, since the pack with cells of different values of this parameter presents a capacity reduction of up to 15 percent when is compared to the pack of uniform cell designs.
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锂电池组极限电池设计变量的参数化研究
分析了电池级设计参数对电池组级性能的影响,找出了电池组电压不平衡和电池组容量损失的主要原因。研究参数为电极厚度、电极孔隙率和电解质盐浓度。三个电池组被定义为在命名的设计参数值上有20%的范围变化。所分析的电池组的结构由六个锂电池组成,由石墨阳极和锰氧化物阴极组成,串联在一起。为了进行分析,在优化环境中应用了具有物理和现象学基础的数学模型。所提出的优化框架包括通过在简单的稳态充放电循环中运行来最大化电池组容量。从模型定义的关键变量的活动边界中很容易识别出限制单元格。对于所考虑的电池化学,在电池组水平上最具影响力的设计参数是电极孔隙率,因为与均匀电池设计的电池组相比,具有不同该参数值的电池组的容量减少高达15%。
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