Robust SOH Prediction for Lithium-Ion Batteries via ProbSparse Informer Architecture
Published in 2025 IEEE Global Reliability & PHM Conference (PHM-Xi'an), 2024
Best Paper Award
This study presents a robust State of Health (SOH) prediction method for lithium-ion batteries using the ProbSparse Informer architecture, which effectively captures long-term dependencies in battery degradation patterns.
Authors: Seo Y., Kim T., Barde S.
Presented at: 2025 IEEE Global Reliability & PHM Conference (PHM-Xi’an), Xi’an, China
Award: Best Paper Award
Recommended citation: Seo Y., Kim T., & Barde, S. (2025). "Robust SOH Prediction for Lithium-Ion Batteries via ProbSparse Informer Architecture." In 2025 IEEE Global Reliability & PHM Conference (PHM-Xi'an). Xi'an, China.
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