6 papers
Direct Data-driven Predictive Control: A Computationally Efficient Alternative to DeePC for Eco-driving in Mixed Traffic Flows
Dongjun Li, Haoxuan Dong, Liangcai Xu +1
Improving energy efficiency in the transportation sector is critical for achieving sustainable mobility, with eco-driving emerging as a key strategy. However, implementing effectiv…
Lane Change Trajectory Planning for Personalized Driving Comfort and Mobility Efficiency
Haoxuan Dong, Dongjun Li, Ziyou Song
Lane changing entails simultaneous longitudinal and lateral motions that affect driving comfort and mobility efficiency. Because these motions are tightly coupled and subject to su…
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…