8 citations · 9 across the 5 of their papers we have counts for
4 papers · 1 filter
Real-Time Physics-Aware Battery Health Monitoring from Partial Charging Profiles via Physics-Informed Neural Networks
Xubo Gu, Xun Huan, Yao Ren +3
Monitoring battery health is essential for ensuring safe and efficient operation. However, there is an inherent trade-off between assessment speed and diagnostic depth-specifically…
Enhanced Battery Capacity Estimation in Data-Limited Scenarios through Swarm Learning
Jiawei Zhang, Yu Zhang, Wei Xu +5
Data-driven methods have shown potential in electric-vehicle battery management tasks such as capacity estimation, but their deployment is bottlenecked by poor performance in data-…
Integrated Power and Thermal Management for Enhancing Energy Efficiency and Battery Life in Connected and Automated Electric Vehicles
Dongjun Li, Qiuhao Hu, Weiran Jiang +2
Effective power and thermal management are essential for ensuring battery efficiency, safety, and longevity in Connected and Automated Electric Vehicles (CAEVs). However, real-time…
Bias-Compensated State of Charge and State of Health Joint Estimation for Lithium Iron Phosphate Batteries
Baozhao Yi, Xinhao Du, Jiawei Zhang +5
Accurate estimation of the state of charge (SOC) and state of health (SOH) is crucial for the safe and reliable operation of batteries. Voltage measurement bias highly affects stat…