4 citations · 6 across the 7 of their papers we have counts for
13 papers
Driving behavior-guided battery health monitoring for electric vehicles using machine learning
Nanhua Jiang, Jiawei Zhang, Weiran Jiang +4
An accurate estimation of the state of health (SOH) of batteries is critical to ensuring the safe and reliable operation of electric vehicles (EVs). Feature-based machine learning…
Challenges and Opportunities for Second-life Batteries: A Review of Key Technologies and Economy
Xubo Gu, Hanyu Bai, Xiaofan Cui +5
Due to the increasing volume of Electric Vehicles in automotive markets and the limited lifetime of onboard lithium-ion batteries (LIBs), the large-scale retirement of LIBs is immi…
Optimal battery thermal management for electric vehicles with battery degradation minimization
Yue Wu, Zhiwu Huang, Dongjun Li +4
The control of a battery thermal management system (BTMS) is essential for the thermal safety, energy efficiency, and durability of electric vehicles (EVs) in hot weather. To addre…
Overtaking-enabled Eco-approach Control at Signalized Intersections for Connected and Automated Vehicles
Haoxuan Dong, Weichao Zhuang, Guoyuan Wu +3
Preceding vehicles typically dominate the movement of following vehicles in traffic systems, thereby significantly influencing the efficacy of eco-driving control that concentrates…
Extended Neighboring Extremal Optimal Control with State and Preview Perturbations
Amin Vahidi-Moghaddam, Kaixiang Zhang, Zhaojian Li +3
Optimal control schemes have achieved remarkable performance in numerous engineering applications. However, they typically require high computational cost, which has limited their…
Physics-Augmented Data-EnablEd Predictive Control for Eco-driving of Mixed Traffic Considering Diverse Human Behaviors
Dongjun Li, Kaixiang Zhang, Haoxuan Dong +3
Data-driven cooperative control of connected and automated vehicles (CAVs) has gained extensive research interest as it can utilize collected data to generate control actions witho…