Modeling of the charging behavior of li-ion batteries based on manufacturer's data

Alessandro Sassone, Donghwa Shin, Alberto Bocca, A. Macii, E. Macii, M. Poncino
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引用次数: 5

Abstract

The market of portable devices, wireless sensors, electric vehicles and storage systems has grown enormously in recent years. As a consequence, batteries and related technologies have become one of the major topics for researchers. Due to the large variety of applications in which batteries are involved, battery modeling is becoming an extremely important research topic. This relevance is witnessed by the number of papers addressing battery modeling. This paper proposes a methodology to build a battery model for the charge phase of secondary Lithium-Ion batteries resorting on data available in battery datasheets. The distinguishing feature of the proposed modeling methodology is that, even if the amount of information regarding the battery charge provided by manufacturers is, in most of the cases, very limited, it is able to extract anyway a model of the charging phase with a good amount of accuracy. Simulation results show, in fact, that the proposed model is able to accurately track the charge behavior with an average error of 1.35.
基于制造商数据的锂离子电池充电行为建模
近年来,便携式设备、无线传感器、电动汽车和存储系统的市场增长迅猛。因此,电池及其相关技术已成为研究人员的主要课题之一。由于电池的应用非常广泛,电池建模正成为一个极其重要的研究课题。关于电池建模的论文数量证明了这种相关性。本文提出了一种利用电池数据手册建立二次锂离子电池充电阶段电池模型的方法。所提出的建模方法的显著特征是,即使制造商提供的关于电池充电的信息量在大多数情况下非常有限,它也能够以很高的准确性提取充电阶段的模型。仿真结果表明,该模型能够准确地跟踪电荷行为,平均误差为1.35。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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