A comprehensive study of various carbon-free vehicle propulsion systems utilizing ammonia-hydrogen synergy fuel
N Lei, H Zhang, H Chen, Z Wang - eTransportation, 2024 - Elsevier
Ammonia and hydrogen, as carbon-free clean energy, can be converted and applied in
various scenarios. They can also be mixed to achieve synergistic efficiency. To promote the …
various scenarios. They can also be mixed to achieve synergistic efficiency. To promote the …
A stochastic theory of longitudinal dynamics and energy consumption of road vehicles
Detailed longitudinal dynamics simulations may be used to predict the energy performance
of road vehicles. However, including uncertainty in the operating conditions often implies …
of road vehicles. However, including uncertainty in the operating conditions often implies …
Modeling and control system optimization for electrified vehicles: A data-driven approach
Learning-based intelligent energy management systems for plug-in hybrid electric vehicles
(PHEVs) are crucial for achieving efficient energy utilization. However, their application …
(PHEVs) are crucial for achieving efficient energy utilization. However, their application …
Ammonia-hydrogen propulsion system for carbon-free heavy-duty vehicles
H Zhang, N Lei, Z Wang - Applied Energy, 2024 - Elsevier
Growing concerns about greenhouse gas (GHG) emissions are driving research into carbon-
free propulsion systems. Heavy-duty long-haul transport faces challenges like rapid …
free propulsion systems. Heavy-duty long-haul transport faces challenges like rapid …
Multi-Scale Reinforcement Learning of Dynamic Energy Controller for Connected Electrified Vehicles
H Zhang, N Lei, SE Li, J Zhang, Z Wang - Authorea Preprints, 2024 - techrxiv.org
The synergy of reinforcement learning (RL)-based energy management and vehicle-to-
everything communication has been proved effective in boosting the fuel economy of …
everything communication has been proved effective in boosting the fuel economy of …
Data-driven modeling and supervisory control system optimization for plug-in hybrid electric vehicles
Learning-based intelligent energy management systems for plug-in hybrid electric vehicles
(PHEVs) are crucial for achieving efficient energy utilization. However, their application …
(PHEVs) are crucial for achieving efficient energy utilization. However, their application …
Bi-Level Transfer Learning for Lifelong-Intelligent Energy Management of Electric Vehicles
Automotive energy management systems (EMS) are advancing towards comprehensive
lifecycle-intelligence, spanning from product development phase to customer usage phase …
lifecycle-intelligence, spanning from product development phase to customer usage phase …