This repo is the official implementation of "Deep-Learning-Enabled Crack Detection and Analysis in Commercial Lithium-Ion Battery Cathodes". It currently includes code for the following tasks: The workflow is shown in the figure below: In Li-ion batteries, the mechanical degradation initiated by micro cracks is one of the bottlenecks for enhancing the performance. Quantifying the crack formation and evolution in complex composite electrodes can provide important insights into. The network structure is shown in the figure below:.
Can machine learning detect cracks in a lithium-ion battery after thermal runaway?
Conclusion and outlook In the present paper we used machine learning to detect cracks in the anode of a lithium-ion battery after thermal runaway. The classifier considers pairs of particles and distinguishes three causes for their separation: breakage during the thermal runaway, image segmentation and disjointness in the pristine cell.
What is deep-learning-enabled crack detection & analysis in commercial lithium-ion battery cathodes?
This repo is the official implementation of "Deep-Learning-Enabled Crack Detection and Analysis in Commercial Lithium-Ion Battery Cathodes". It currently includes code for the following tasks: In Li-ion batteries, the mechanical degradation initiated by micro cracks is one of the bottlenecks for enhancing the performance.
Are micro cracks a bottleneck in Li-ion batteries?
In Li-ion batteries, the mechanical degradation initiated by micro cracks is one of the bottlenecks for enhancing the performance. Quantifying the crack formation and evolution in complex composite electrodes can provide important insights into electrochemical behaviors under prolonged and/or aggressive cycling.
Can Holo-tomography extract crack patterns from a commercial 18650-type battery cathode?
Herein, we develop a deep learning-based approach to extract the crack patterns from nanoscale hard X-ray holo-tomography data of a commercial 18650-type battery cathodes. We demonstrate efficient and effective quantification of the damage heterogeneity with automation and statistical significance.
Are battery electrode cracks observable through imaging experiments?
However, observation and interpretation of the complicated crack patterns in battery electrodes through imaging experiments are often time-consuming, labor intensive, and subjective.
Can architectural design reduce structural degradation in a battery configuration?
The crack characteristics are further associated with the active particles' packing densities and a potentially viable architectural design is discussed for suppressing the structural degradation in an industry-relevant battery configuration. The authors declare no conflict of interest.