3 papers
cs.LG2026
Pace: Physics-Aware Attentive Temporal Convolutional Network for Battery Health Estimation
Sara Sameer, Wei Zhang, Dhivya Dharshini Kannan +4
Batteries are critical components in modern energy systems such as electric vehicles and power grid energy storage. Effective battery health management is essential for battery sys…
cs.LG2026
EntroLnn: Entropy-Guided Liquid Neural Networks for Operando Refinement of Battery Capacity Fade Trajectories
Wei Li, Wei Zhang, Qingyu Yan
Battery capacity degradation prediction has long been a central topic in battery health analytics, and most studies focus on state of health (SoH) estimation and end of life (EoL)…
cs.LG2025
GiNet: Integrating Sequential and Context-Aware Learning for Battery Capacity Prediction
Sara Sameer, Wei Zhang, Xin Lou +3
The surging demand for batteries requires advanced battery management systems, where battery capacity modelling is a key functionality. In this paper, we aim to achieve accurate ba…