Source-free unsupervised cross-condition capacity prediction of lithium-ion batteries based on adversarial differences and temporal consistency | Synapse
March 3, 2026
Source-free unsupervised cross-condition capacity prediction of lithium-ion batteries based on adversarial differences and temporal consistency
Key Points
Capacity prediction shows high accuracy across varying conditions, improving battery management.
Key metric indicates over 90% accuracy in unsupervised predictions under adversarial differences.
Analysis employs a novel approach based on adversarial differences and temporal consistency.
Highlights potential for enhancing performance monitoring in lithium-ion batteries without extensive data requirements.