1 citations · 1 across the 2 of their papers we have counts for
2 papers
eess.SP2024
Gaussian Process Regression-Based Lithium-Ion Battery End-of-Life Prediction Model under Various Operating Conditions
Seyeong Park, Jaewook Lee, Seongmin Heo
For the efficient and safe use of lithium-ion batteries, diagnosing their current state and predicting future states are crucial. Although there exist many models for the predictio…
cs.LG2023★ 1 cited
Enhancing Data Efficiency and Feature Identification for Lithium-Ion Battery Lifespan Prediction by Deciphering Interpretation of Temporal Patterns and Cyclic Variability Using Attention-Based Models
Jaewook Lee, Seongmin Heo, Jay H. Lee
Accurately predicting the lifespan of lithium-ion batteries is crucial for optimizing operational strategies and mitigating risks. While numerous studies have aimed at predicting b…