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On Experiment Design for Parameter Estimation of Equivalent-Circuit Battery Models

机译:等效电路电池模型参数估计的实验设计

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Using Li-ion batteries in applications, such as E-bikes, requires proper battery management. In battery management, model-based state estimation techniques can be used to estimate the State-of-Charge, for which it is common to consider an Equivalent Circuit Model (ECM). Accurate model parameters are necessary to ensure a certain quality of the state estimate. The ECM parameters highly depend on the experiment used to determine them and different choices of these experiments can be found in the literature. In this paper, we investigate the experiment design for parameter estimation both quantitatively and qualitatively. The use of pulsed currents for parameter estimation, which is a commonly used experiment, is compared to using data from a road test with the E-bike. The results quantify how much the state estimation improves when the parameters are estimated using data that represent the intended application.
机译:在电动自行车等应用中使用锂离子电池需要适当的电池管理。在电池管理中,基于模型的状态估计技术可用于估计充电状态,为此通常需要考虑等效电路模型(ECM)。准确的模型参数对于确保状态估计的质量是必不可少的。 ECM参数高度取决于用于确定它们的实验,并且可以在文献中找到这些实验的不同选择。在本文中,我们研究了定量和定性参数估计的实验设计。将脉冲电流用于参数估计(这是一种常用的实验)与使用电动自行车的路试数据进行比较。结果量化了当使用代表预期应用程序的数据对参数进行估算时,状态估算可提高多少。

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