8 citations · 9 across the 5 of their papers we have counts for
5 papers
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…
Discovery Learning accelerates battery design evaluation
Jiawei Zhang, Yifei Zhang, Baozhao Yi +5
Fast and reliable validation of novel designs in complex physical systems such as batteries is critical to accelerating technological innovation. However, battery research and deve…
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…