基于数据表的锂离子电池建模

J. Barreras, E. Schaltz, S. J. Andreasen, Tomasz Minko
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引用次数: 30

摘要

研究人员和开发人员使用电池模型来预测电池的性能,这取决于外部和内部条件,如温度、C-rate、放电深度(DoD)或健康状态(SoH)。文献中提出的大多数电池模型都需要进行特定的实验室参数化测试,因此绝大多数模型都不是合适可行的解决方案。本文提出了三种易于遵循的等效电路建模方法,这些方法仅基于商用锂离子电池制造商的数据表中包含的信息,并在稳态下进行了验证,比较了仿真结果和制造商的曲线。为了证明参数估计的准确性,还包括了实验室结果。以Kokam SLPB 120216216 53Ah锂离子电池为例,对每种方法的结果进行了比较和讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Datasheet-based modeling of Li-Ion batteries
Researchers and developers use battery models in order to predict the performance of batteries depending on external and internal conditions, such as temperature, C-rate, Depth-of-Discharge (DoD) or State-of-Health (SoH). Most battery models proposed in the literature require specific laboratory test for parameterization, therefore a great majority do not represent an appropriate and feasible solution. In this paper three easy-to-follow equivalent circuit modeling methods based only on information contained in a commercial Li-Ion cell manufacturer's datasheet are presented and validated at steady state, comparing simulation results and manufacturer's curves. Laboratory results are included in order to demonstrate the accuracy of parameters estimation. Results of each method are presented, compared and discussed for a Kokam SLPB 120216216 53Ah Li-Ion cell.
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