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Electrochemical characterization and physically based modeling of lithium-ion batteries

机译:锂离子电池的电化学表征与物理基于型号

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This work aims at the development of a battery model, which simulates the operating voltage U_(op) of a high power lithium-ion battery at varying operating conditions. U_(op) results from the open circuit voltage U_(OCV) and the sum of overvoltages η_i that exist when the battery is under load: U_(op) = U_(OCV) (T, SOC) + η_0 (T, SOC, I) + η_(CT,C) (T, SOC, I) + η_(CT/SEI,A)(T, SOC, I) + η_(Diff,A/C) (T, SOC, I) The open circuit voltage U_(OCV) is determined with a quasi-stationary method. The ohmic loss η_0 and the interface losses η_(CT,C) and η_(CT/SEI,A) are measured and separated by the application of electrochemical impedance spectroscopy measurements in the high and middle frequency range and a corresponding DRT-analysis. Using an equivalent circuit model (ECM) enables the quantification of those loss processes and provides their resistance and time constant which are required to calculate the overvoltage. The lithium solid state diffusion losses η_(Diff,A/C) are studied by a current interruption method in the time domain which is the method of choice in the low frequency range and which equally provides the resistance and the time constant of the process. Finally, a continuous discharge curve is simulated. The ECM also serves as a basis for physically motivated fractional identification methods which estimate the impedance parameters out of time domain data. These methods, in turn, can be used for online parametrization of the presented battery model.
机译:这项工作旨在开发电池型号,其在不同的操作条件下模拟高功率锂离子电池的工作电压U_(OP)。 U_(OP)来自开路电压U_(OCV)和电池在负载下的过电压η_I的总和:U_(OP)= U_(OCV)(T,SOC)+η_0(t,soc, i)+η_(ct,c)(t,soc,i)+η_(ct / sei,a)(t,soc,i)+η_(diff,a / c)(t,soc,i)打开用准静止方法确定电路电压U_(OCV)。通过在高中和中频范围内的电化学阻抗光谱测量和相应的DRT分析,测量欧姆损耗η_0和界面损耗η_(CT,C)和η_(CT,C)和η_(CT / SEI,A)和分离电化学阻抗光谱测量和相应的DRT分析。使用等效电路模型(ECM)启用这些损耗过程的量化,并提供计算过电压所需的电阻和时间常数。通过时域中的电流中断方法研究了锂固态扩散损耗η_(差异,a / c),该方法是低频范围中的选择方法,其同样提供该过程的电阻和时间常数。最后,模拟了连续放电曲线。 ECM还用于作为物理动力的分数识别方法的基础,其估计了时间域数据的阻抗参数。反过来,这些方法可用于所提出的电池模型的在线参数化。

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