The CALCE battery team is open to collaborate with research groups and companies around the world. We provide open access to our experimental test data on lithium-ion batteries, which includes continuous full and partial cycling, storage, dynamic driving profiles, open circuit voltage measurements, and impedance measurements. Battery form factors include cylindrical, pouch, and prismatic, and the chemistries include LCO, LFP, and NMC. The data from these tests can be used for battery state estimation, remaining useful life prediction, accelerated battery degradation modeling, and reliability analysis. A description of each battery and each test is presented below. Use of this data for publication purposes should include references to the CALCE article(s) that describe the experiments conducted to generating the data. If you have questions or are interested to contribute your data to the battery data collective, please contact Prof. Michael Pecht.
| INR 18650-20R Battery | A123 Battery | CS2 Battery | CX2 Battery | PL Sample | Storage Data & Test Description | Accelerated Testing Data | Anomaly Detection Data |
|---|
Pouch Cells
| Dataset | Cathode Chemistry | Rated Capacity | Sample Size |
| 1 | Li(NiMnCo)O2 | 3260mAh | 12 |
| 2 | Li(NiMnCo)O2 | 350mAh | 23 |
Data and Test Description
Before lithium-ion batteries are purchased in volume, they are typically tested (qualified) to determine if they meet the life-cycle reliability requirements for the targeted applications. To ensure that subsequent production lots of batteries continue to meet the reliability requirements, ongoing reliability testing is often conducted on production lot samples. However, a key challenge is how to quickly determine if the samples have substantially similar reliability as those batteries that were initially qualified, and how to detect early signs of unacceptable degradation.
We had two datasets from real-world qualification testing and ongoing reliability testing. The qualification data in dataset 1 consists of six samples that were considered representative of the healthy production lot because they met all the company's cycle life requirements. Six samples randomly selected from different subsequent lots were subjected to ongoing reliability testing for evaluation. For all the samples in the first dataset, the nominal capacity was 3260 mAh, and the operating voltage range was 3.0–4.4 V. Both the constant charging and discharge currents were 2.04 A, and all tests were conducted at 25 °C.
Dataset 2 consisted of the capacity fade data for another lithium-ion battery with a nominal capacity of 350 mAh. The qualification testing data has 14 samples that are considered representative of the healthy production lot, and the ongoing reliability testing data has nine samples randomly selected from different subsequent lots.
All the ongoing reliability testing samples were tested under the specified condition and “appeared” to be healthy at the start until some samples’ degradation trends showed an unacceptable deviation from the qualified lot. These deviating ongoing reliability testing samples were then confirmed anomalous and should be identified as early as possible.
The above data files have been referenced in:
[1] Early detection of anomalous degradation behavior in lithium-ion batteries. Diao, W., Naqvi, I. H., and Pecht, M. (2020). Journal of Energy Storage, 32, 101710.
[2] Capacity-fading Behavior Analysis for Early Detection of Unhealthy Li-ion Batteries. Lee, C., Jo, S., Kwon, D., and Pecht, M. (2020). IEEE Transactions on Industrial Electronics.
[3] Reduction of Li-ion Battery Qualification Time Based on Prognostics and Health Management Lee, J., Kwon, D., and Pecht, M. G. (2018). IEEE Transactions on industrial electronics, 66(9), 7310-7315.
| INR 18650-20R Battery | A123 Battery | CS2 Battery | CX2 Battery | PL Sample | Storage Data & Test Description | Accelerated Testing Data | Anomaly Detection Data |
|---|
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