Energy storage cell aging test

What is a battery aging test?

) or together. Most commonly laboratory-level tests are performed to understand the battery aging behavior under different operating conditions, and then the generated data are either fed or used to develop lifetime models.

How are long-term aging tests used?

In this work, long-term aging tests are designed for the validation of the developed models. Two separate cells are studied with the validation profiles as explained in the experimental section, whereas the rest of the 38 cells' aging outputs are used to construct or train the developed models.

Can battery aging data be used as a model?

Among others, it is conceivable to use the battery aging dataset to derive degradation models based on semi-empirical or machine-learning approaches or to use the raw cycling data to test and validate SoC or cell impedance estimators. Graphical abstract of the battery degradation study and the generated datasets.

How many cells are tested at each aging condition?

For reproducibility, two cells are tested at each aging condition and eight cells examine the reference condition. The test matrix can be found in supporting information table SI-1.

How long does it take a cell to test for aging?

One of two cells at each aging condition stops testing after a cumulated charge throughput of roughly 200 kA h, which corresponds to about two years of testing time and 2300 equivalent full cycles. A subsequent storage at 0% SoC for 14 days equalizes reversible effects.

What is a battery aging dataset?

The dataset encompasses a broad spectrum of experimental variables, including a wide range of application-related experimental conditions, focusing on temperatures, various average states of charge (SOC), charge/discharge current rates and depths of discharge (DOD), offering a holistic view of battery aging processes.