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

机译:对等效电路电池型号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:在应用中使用锂离子电池,如E-Bikes,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最终的充电状态,因为考虑等效电路模型(ECM)。准确的模型参数是必要的,以确保状态估计的某种质量。 ECM参数高度依赖于用于确定它们的实验和这些实验的不同选择可以在文献中找到。在本文中,我们研究了定量和定性的参数估计的实验设计。比较使用脉冲电流进行参数估计,这是常用的实验,与使用电子自行车的道路测试数据进行比较。当使用代表预期应用程序的数据估计参数时,结果量化了状态估计的提高程度。

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