2. Materials and Methods
Commercially available 18650 NMC cells (2600 mAh, 11C), 18650 LFP high temperature cells (1800 mAh, 3C) were studied in this work (
Table 1).
The two types of batteries were selected because they used common electrode formulations in electric vehicles, were manufactured by reputable companies, and were the exact same size.
In this study, individual lithium battery cells were tested instead of complete battery packs, in order to minimize energy consumption and reduce experimental costs associated with the higher price of full battery packs. Lithium battery cycle aging was performed using EBC-A40L battery testing system with EB tester software. Each charge and discharge cycle for each battery cell has been measured and recorded to a personal computer via a lithium battery tester with voltage accuracy of 0.2% ± 0.003 V and current accuracy of 0.2 % ± 0.01 A.
A spot-welding system (Glitter 801D) was used to form reliable electrical connections between nickel-plated strips and the terminals of 18650 lithium-ion cells, ensuring proper joint formation while limiting thermal exposure and preventing heat-induced damage to the battery cells. Each nickel-plated strip was soldered to a 2.5 mm² cross-section copper conductor (30 cm length), which was subsequently connected to the battery testing equipment via a 5.26 mm² cross-section conductor of 1 m length. The total resistance of the connecting conductors and the associated power losses were negligible relative to the measured battery capacities and remained constant across all test conditions. During cycling, the cells were placed in fireproof chamber with high airflow.
Battery cells were scanned using an industrial CT system (Nikon XT H 225) equipped with a 225 kV microfocus reflection target X-ray source, supporting up to 150 times geometric magnification and a 2520-pixel flat-panel detector. By adjusting the geometric magnification between 7 and 9, a CT voxel resolution in the range of 9 µm to 16 µm was achieved. During 30 minutes scanning process, Nikon XT H 225 industrial CT system takes 1800 very high-definition images (2520p x 2520p) while battery makes one revolution. Images acquired with the industrial CT scanner are reconstructed using Inspect-X (Nikon) reconstruction software to produce a three-dimensional volumetric dataset composed of several billion voxels. This voxel-based model represents the internal X-ray attenuation distribution within the scanned battery cell. The reconstructed volume is then analysed using VGStudio MAX software, which enables three-dimensional visualization and virtual cross-sectional view of the internal battery structure.
Newly purchased battery cells were screened for manufacturing defects by measuring their rated capacity and internal resistance to verify cell quality and suitability for experimental testing and publication.
Each LFP and NMC battery cell used in this research was scanned with industrial CT before and after aging degradation. To increase spatial resolution and achieve higher image definition, the negative and positive terminals of each battery cell were scanned separately rather than scanning the entire cell in a single acquisition. This approach enabled the use of higher geometric magnification and region-specific scan parameters for each area of interest, resulting in improved detail and contrast in the reconstructed volumetric data. For each battery cell, two scans were performed before aging and two additional scans were conducted after degradation, with separate acquisitions for both terminals.
During typical electric vehicle operation, the highest continuous battery discharge rates generally occur under high-load conditions, such as rapid acceleration or sustained high-speed driving. Under these operating scenarios, the effective discharge rate can reach approximately 1C to 3C, depending on the total battery pack capacity and the instantaneous power demand of the vehicle drivetrain. The resulting C-rate is determined by the ratio between the power drawn from the high-voltage lithium-ion battery and its nominal energy capacity. These high-discharge conditions represent a worst-case scenario for battery degradation behavior.
Independent battery cells were tested under constant current (CC) conditions at discharge rates of 1C, 2C, and 3C, with each discharge rate applied to a separate cell to evaluate internal battery degradation under different discharge conditions
Table 2. A depth of discharge (DOD) of 100% was applied for all battery types, test conditions, and discharge rates. Upon completion of each discharge cycle, the cells were recharged using a CC protocol at a charge rate of 1C, followed by a constant voltage (CV) charging stage until the charging current decreased to 0.25 A. The effect of lower DOD levels will be addressed in a separate publication.
In this study, repeated charge–discharge cycling was performed until the SOH of each battery decreased to 60% of its initial nominal capacity. This SOH threshold was selected to represent an advanced stage of degradation, at which structural changes within the cell are expected to be more pronounced and easier to detect. As many experimental studies limits testing to approximately 80% of SOH, the 60% threshold applied in this work enables evaluation of degradation behavior under more advanced aging conditions.
After reaching this predefined degradation level, the batteries were examined again using industrial CT. The CT scan data obtained after aging were then processed and analysed, and the results were compared with the scan data collected before aging to identify structural changes related to battery degradation.
In addition, multiple performance metrics were monitored throughout testing to quantify the level of battery degradation, including equivalent full cycle count (EFC), charged and discharged energy, capacity, and round-trip efficiency (RTE). A more detailed analysis of these parameters will be presented in a subsequent publication.