8 papers
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…
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)…
Knowledge-Aware Modeling with Frequency Adaptive Learning for Battery Health Prognostics
Vijay Babu Pamshetti, Wei Zhang, Sumei Sun +3
Battery health prognostics are critical for ensuring safety, efficiency, and sustainability in modern energy systems. However, it has been challenging to achieve accurate and robus…
Optimal Signal Decomposition-based Multi-Stage Learning for Battery Health Estimation
Vijay Babu Pamshetti, Wei Zhang, King Jet Tseng +2
Battery health estimation is fundamental to ensure battery safety and reduce cost. However, achieving accurate estimation has been challenging due to the batteries' complex nonline…
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…
Enhanced Battery Degradation-Aware Scheduling for Distribution Network with Electric Vehicle Load
Vijay Babu Pamshetti, Wei Zhang, Andy Man-Fai Ng +2
Batteries play a key role in today's power grid. In this paper, we investigate the impact of battery degradation on the distribution network. We formulate a multi-objective framewo…
Practical Battery Health Monitoring using Uncertainty-Aware Bayesian Neural Network
Yunyi Zhao, Zhang Wei, Qingyu Yan +3
Battery health monitoring and prediction are critically important in the era of electric mobility with a huge impact on safety, sustainability, and economic aspects. Existing resea…
BatSort: Enhanced Battery Classification with Transfer Learning for Battery Sorting and Recycling
Yunyi Zhao, Wei Zhang, Erhai Hu +4
Battery recycling is a critical process for minimizing environmental harm and resource waste for used batteries. However, it is challenging, largely because sorting batteries is co…