[HTML][HTML] A review on recent developments in control and optimization of micro grids
Modern utility grid is experiencing a transition from conservative centralized generation
structure to a more distributed and decentralized structure. To achieve this transition …
structure to a more distributed and decentralized structure. To achieve this transition …
Spatial–temporal data-driven full driving cycle prediction for optimal energy management of battery/supercapacitor electric vehicles
For multi-energy storage vehicles, the performance of online predictive energy management
strategies largely relies on the length and effective utilization of predictive information. In this …
strategies largely relies on the length and effective utilization of predictive information. In this …
Grey Markov prediction-based hierarchical model predictive control energy management for fuel cell/battery hybrid unmanned aerial vehicles
Y Yao, J Wang, Z Zhou, H Li, H Liu, T Li - Energy, 2023 - Elsevier
The energy management problem of hybrid unmanned aerial vehicles (UAVs) is studied in
this paper, and an energy management strategy based on hierarchical model predictive …
this paper, and an energy management strategy based on hierarchical model predictive …
Integrated battery thermal and energy management for electric vehicles with hybrid energy storage system: A hierarchical approach
Battery cooling is crucial for electric vehicles' thermal safety, energy consumption, and
battery life in hot climatic conditions. For electric vehicles with battery/supercapacitor hybrid …
battery life in hot climatic conditions. For electric vehicles with battery/supercapacitor hybrid …
Health-conscious predictive energy management strategy with hybrid speed predictor for plug-in hybrid electric vehicles: Investigating the impact of battery electro …
Improving plug-in hybrid electric vehicles (PHEVs) fuel economy requires a proper energy
management strategy (EMS). Efforts to enhance the energy-saving performance of …
management strategy (EMS). Efforts to enhance the energy-saving performance of …
Multihorizon predictive energy optimization and lifetime management for connected fuel cell electric vehicles
A reliable energy optimization strategy incorporating vehicle connectivity is of great
importance for the performance enhancement of fuel cell electric vehicles. In this paper, a …
importance for the performance enhancement of fuel cell electric vehicles. In this paper, a …
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 …
Towards integrated thermal management systems in battery electric vehicles: A review
X Li, R Wang - eTransportation, 2025 - Elsevier
The market expansion of battery electric vehicles has stimulated the development of
advanced vehicle thermal management systems to address the complicated thermal …
advanced vehicle thermal management systems to address the complicated thermal …
Driving style-aware energy management for battery/supercapacitor electric vehicles using deep reinforcement learning
Driving style can significantly affect the energy consumption, battery lifespan, and driving
economy of electric vehicles. In this context, this paper proposes a novel driving style-aware …
economy of electric vehicles. In this context, this paper proposes a novel driving style-aware …
Priority-driven multi-objective model predictive control for integrated motion control and energy management of hybrid electric vehicles
The integrated motion control and intelligent energy management problems of hybrid
electric vehicles (HEVs) can be divided into the sub-problems of fuel consumption …
electric vehicles (HEVs) can be divided into the sub-problems of fuel consumption …