1 citations · 1 across the 3 of their papers we have counts for
4 papers
PhyMamba: Physics-Modulated Mamba for Robust Battery Health Prognostics
Sara Sameer, Yunyi Zhao, Wei Zhang +4
Battery health prognostics is a core function in battery management systems (BMSs), yet long-horizon health forecasting from BMS signals remains challenging due to operating-condit…
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…
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…
Optimizing Cycle Life Prediction of Lithium-ion Batteries via a Physics-Informed Model
Constantin-Daniel Nicolae, Sara Sameer, Nathan Sun +1
Accurately measuring the cycle lifetime of commercial lithium-ion batteries is crucial for performance and technology development. We introduce a novel hybrid approach combining a…