Direct characterization of float currents to estimate the aging be-havior and path dependence

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Lithium-ion batteries have become the most important driver especially for mobile, but also for stationary energy storage in many applications. Before integrating an appropriate cell type into a system, manufacturers of battery systems make a benchmark of the available batteries that suit to their application based on the cell’s datasheet. Additionally, the cell quality has to be assessed by quality control tests during pack production. With conventional calendar aging tests, this testing effort is costly and time consuming and, therefore, typically only a small part of the test matrix is evaluated. The float current analysis presented in this work is a novel, low-cost and comparably fast method that has the potential to fulfill industries’ demands. The float current analysis measures the self-discharge currents after compensating currents due to e.g. the anode overhang effect or the variation of particle size within the electrodes dimin-ished. In a previous work, we already showed a qualitative and quantitative correlation of float currents and capacity loss for LFP/Graphite (10.1016/j.jpowsour.2017.03.136) and NCA/Graphite (10.3390/batteries7020022) cells.
In this presentation, we will discuss the results of a fast characterization for several cell types (LFP/Graphite, NMC/Graphite and NCA/Graphite) with different active materials of the for-mat 18650. At first, for several SOCs, the transient part is evaluated before the steady state of the float currents is finally reached. We compare the results of the transient part to identify the influence of the check-up and the point of reliable float current measurement to improve the strategy to achieve accelerated aging characterization. As expected, performing addition-al check-ups increase the time to reach the steady-state as additional inhomogeneities during the capacity tests lead to inhomogeneous SOC distribution over the electrode area.
In addition, the float current results are compared to state-of-the-art check-up based methods. We found a correlation of the float current to capacity loss rate for lower SOC, while for 4.2 V a higher float current compared to capacity loss likely correlates to gassing.
Moreover, the float currents are presented, which are measured during temperature steps between 20 and 60°C. To achieve a full characterization, the float currents are presented over voltage and temperature. At the end, the data is analysed for the identification of a path de-pendence and hysteresis.

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