模拟商用锂离子电池系统温度分布的通用方法

IF 4.6 4区 化学 Q2 ELECTROCHEMISTRY
Batteries Pub Date : 2023-10-23 DOI:10.3390/batteries9100522
Alexander Reiter, Susanne Lehner, Oliver Bohlen, Dirk Uwe Sauer
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引用次数: 0

摘要

确定电池系统内的平均温度和底层温度分布对系统设计、控制和运行至关重要。因此,需要能够计算这些分布的热电池系统模型。在此工作中,介绍了一个通用的热等效电路模型,用于商用电池模块的被动冷却。模型方法可以很容易地应用于不同的系统设计和尺寸,并伴随着相应的低工作量表征过程。该模型在固定和船舶应用的合成和测量载荷剖面上进行了验证。结果表明,该模型既能反映平均温度,又能反映发生温度分布(从最高温度到最低温度),偏差小于1 K。除了引入的全尺寸模型外,还进一步简化了假设,以减少模型所需的计算量。通过将得到的简化模型与原始全尺寸模型进行比较,可以看出,减少模拟单元的数量和假设模块中单元之间的电性均匀性,可以将计算时间减少一个数量级,同时仍然保持较高的模型精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Generic Approach to Simulating Temperature Distributions within Commercial Lithium-Ion Battery Systems
Determining both the average temperature and the underlying temperature distribution within a battery system is crucial for system design, control, and operation. Therefore, thermal battery system models, which allow for the calculation of these distributions, are required. In this work, a generic thermal equivalent circuit model for commercial battery modules with passive cooling is introduced. The model approach can be easily adopted to varying system designs and sizes and is accompanied by a corresponding low-effort characterization process. The validation of the model was performed on both synthetic and measured load profiles from stationary and marine applications. The results show that the model can represent both the average temperature and the occurring temperature spread (maximum to minimum temperature) with deviations below 1 K. In addition to the introduced full-scale model, further simplifying assumptions were tested in order to reduce the computational effort required by the model. By comparing the resulting simplified models with the original full-scale model, it can be shown that both reducing the number of simulated cells and assuming electrical homogeneity between the cells in the module offer a reduction in the computation time within one order of magnitude while still retaining a high model accuracy.
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来源期刊
Batteries
Batteries Energy-Energy Engineering and Power Technology
CiteScore
4.00
自引率
15.00%
发文量
217
审稿时长
7 weeks
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