Twin delayed deep deterministic policy gradient-based deep reinforcement learning for energy management of fuel cell vehicle integrating durability information of …
Deep reinforcement learning (DRL)-based energy management strategy (EMS) is attractive
for fuel cell vehicle (FCV). Nevertheless, the fuel economy and lifespan durability of proton …
for fuel cell vehicle (FCV). Nevertheless, the fuel economy and lifespan durability of proton …
Data-driven predictive energy consumption minimization strategy for connected plug-in hybrid electric vehicles
H Zhang, N Lei, S Liu, Q Fan, Z Wang - Energy, 2023 - Elsevier
Highlights•Dual-mode combustion engine is incorporated into plug-in hybrid electric
vehicles.•Predictive energy management with engine start-stop and combustion mode …
vehicles.•Predictive energy management with engine start-stop and combustion mode …
Efficient management of energy consumption of electric vehicles using machine learning—A systematic and comprehensive survey
Electric vehicles are growing in popularity as a form of transportation, but are still underused
for several reasons, such as their relatively low range and the high costs associated with …
for several reasons, such as their relatively low range and the high costs associated with …
Leveraging the benefits of ethanol-fueled advanced combustion and supervisory control optimization in hybrid biofuel-electric vehicles
H Zhang, S Liu, N Lei, Q Fan, Z Wang - Applied Energy, 2022 - Elsevier
The advanced combustion-based dedicated hybrid engines (DHEs) operating with biofuels
demonstrate great advantages to reduce greenhouse gas emissions. To explore the …
demonstrate great advantages to reduce greenhouse gas emissions. To explore the …
Integrated thermal and energy management of connected hybrid electric vehicles using deep reinforcement learning
The climate-adaptive mymargin energy management system (EMS) holds promising
potential for harnessing the concealed energy-saving capabilities of connected plug-in …
potential for harnessing the concealed energy-saving capabilities of connected plug-in …
Energy-saving cost-effectiveness analysis of improving engine thermal efficiency and extending all-electric range methods for plug-in hybrid electric vehicles
X Liu, F Zhao, Z Liu - Energy Conversion and Management, 2022 - Elsevier
Improving the engine peak thermal efficiency (Method 1) and extending PHEV'all-electric
range (Method 2) are the main methods to improve the fuel economy of PHEVs after the …
range (Method 2) are the main methods to improve the fuel economy of PHEVs after the …
[HTML][HTML] Coupled velocity and energy management optimization of connected hybrid electric vehicles for maximum collective efficiency
The infrastructure for vehicle-to-everything has facilitated the development of intelligent eco-
driving and energy management, exploring the energy-saving potential of connected hybrid …
driving and energy management, exploring the energy-saving potential of connected hybrid …
An improved co-optimization of component sizing and energy management for hybrid powertrains interacting with high-fidelity model
N Lei, H Zhang, H Wang, Z Wang - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Due to the ignorance of dynamic characteristics of powertrains, existing frameworks for co-
optimizing component sizing and energy management of hybrid powertrains may lead to …
optimizing component sizing and energy management of hybrid powertrains may lead to …
Assessing fuel economy and NOx emissions of a hydrogen engine bus using neural network algorithms for urban mass transit systems
S Kim, J Kim - Energy, 2023 - Elsevier
The transition from compressed natural gas (CNG) to hydrogen has begun in mass
transportation applications in Seoul, South Korea. This study investigates the feasibility of …
transportation applications in Seoul, South Korea. This study investigates the feasibility of …
Physics-informed data-driven modeling approach for commuting-oriented hybrid powertrain optimization
N Lei, H Zhang, R Li, J Yu, H Wang, Z Wang - Energy Conversion and …, 2024 - Elsevier
The physics-informed data-driven approach is instructive in powertrain modeling with high-
fidelity, which can be adopted for powertrain optimization to further improve vehicle …
fidelity, which can be adopted for powertrain optimization to further improve vehicle …