Showing cs.LGShow all
3 papers · 1 filter
cs.LG2026
Physics-Informed Neural Network with Transfer Learning for State Estimation in Lithium-Ion Batteries using the Single Particle Model with Electrolyte
Gift Modekwe, Qiugang Lu
Physics-informed neural networks (PINNs) have emerged as a powerful tool for solving nonlinear partial differential equations (PDEs), including battery electrochemical models. They…
cs.LG2026
Multi-Level Temporal Graph Networks with Local-Global Fusion for Industrial Fault Diagnosis
Bibek Aryal, Gift Modekwe, Qiugang Lu
Fault detection and diagnosis are critical for the optimal and safe operation of industrial processes. The correlations among sensors often display non-Euclidean structures where g…
cs.LG2024
Transformer-based Capacity Prediction for Lithium-ion Batteries with Data Augmentation
Gift Modekwe, Saif Al-Wahaibi, Qiugang Lu
Lithium-ion batteries are pivotal to technological advancements in transportation, electronics, and clean energy storage. The optimal operation and safety of these batteries requir…