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Modeling the self-discharge by voltage decay of a NMC/graphite lithium-ion cell

机译:通过NMC /石墨锂离子电池的电压衰减对自放电建模

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The self-discharge of lithium-ion cells is an undesired effect, because it directly influences the performance of batteries in electric vehicles. The aim of this manuscript is to illustrate the influencing factors for the self-discharge, especially the influence of time in which the cells stay unused. The self-discharge behavior of nickel manganese cobalt oxide (NMC)/graphite cells can be reproduced with three models for different time horizons: short, long, and overall time. The models are based on an approach originating from alkaline battery modeling. Some arguments justifying the validity of the approach are stated. The models are parameterized utilizing long time measurement data (160 days) obtained at different temperature and state of charge conditions. Limits of the models are discussed and quantified with simultaneous 99% confidence and prediction bands, that are constructed by means of nonlinear regression. A good agreement of the models and the measurements as well as narrow confidence and prediction band widths can be found.
机译:锂离子电池的自放电是不希望有的效果,因为它直接影响电动汽车中电池的性能。该手稿的目的是说明影响自放电的因素,尤其是细胞闲置时间的影响。镍锰钴氧化物(NMC)/石墨电池的自放电行为可以用三种模型针对不同的时间范围进行再现:短时间,长时间和总时间。这些模型基于源自碱性电池建模的方法。陈述了证明该方法有效性的一些论据。利用在不同温度和充电状态下获得的长时间测量数据(160天)对模型进行参数化。讨论并限制了模型的极限,同时通过非线性回归构建了99%的置信度和预测带。可以找到模型和测量值的良好一致性,以及狭窄的置信度和预测带宽。

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