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Soft Actor-Critic with Discrete-Continuous Hybrid Action Space for Energy Management of Heavy Duty Hev Combining Multi-Dimensional Naturalistic Driving Data
Energy management strategy for multisource power generation during hypersonic vehicle mode transition based on improved deep deterministic policy gradient
Layered energy optimization and management for hypersonic vehicles during the ramjet-propelled phase via a hierarchical game-driven deep reinforcement learning decision framework
Training-efficient and cost-optimal energy management for fuel cell hybrid electric bus based on a novel distributed deep reinforcement learning framework
A data-driven solution for intelligent power allocation of connected hybrid electric vehicles inspired by offline deep reinforcement learning in V2X scenario
Battery health-considered energy management strategy for a dual-motor two-speed battery electric vehicle based on a hybrid soft actor-critic algorithm with memory function
Energy management strategy for fuel cell hybrid electric vehicles considering optimal overall cost of multi-energy systems: A heterogeneous independent multi-agent deep reinforcement learning approach
An enhanced soft actor-critic algorithm-based energy management strategy for fuel cell hybrid electric vehicles by applying the truncated Gaussian policy
Twin delayed deep deterministic policy gradient-based deep reinforcement learning for energy management of fuel cell vehicle integrating durability information of powertrain
Health-considered energy management strategy for fuel cell hybrid electric vehicle based on improved soft actor critic algorithm adopted with Beta policy
An real-time intelligent energy management based on deep reinforcement learning and model predictive control for hybrid electric vehicles considering battery life
Holistic energy management strategy for hybrid electric heavy-duty vehicles based on proximal policy optimization with the consideration of cabin temperature comfort
Durability-enhanced decision-making with style awareness for autonomous hydrogen fuel cell vehicle based on integrated reinforcement learning approaches
A two-stage coordinated power allocation strategy for onboard hybrid energy storage systems in urban rail transit oriented toward comprehensive operating cost
Improved deep reinforcement learning optimized energy efficiency management strategy of hybrid electric commercial vehicles based on operational & maintenance costs
Low-temperature energy management for fuel cell buses: A DRL approach integrating powertrain electro-thermal-aging characteristic and cabin thermal comfort
Health- and behavior-aware energy management strategy for fuel cell hybrid electric vehicles based on parallel deep deterministic policy gradient learning
Degradation-based predictive energy management for intelligent fuel cell hybrid electric vehicles with a novel deep reinforcement learning architecture
Battery lifetime of electric vehicles by novel rainflow-counting algorithm with temperature and C-rate dynamics: Effects of fast charging, user habits, vehicle-to-grid and climate zones
Muti-physics constrained PEV charging management for solar PV penetrated energy-transportation Nexus: A novel DRL-based approach combining a cyber-physical system
Longevity-aware energy management for fuel cell hybrid electric bus based on a novel proximal policy optimization deep reinforcement learning framework
Evolution of multi-algorithm fusion strategies in energy management for hybrid electric vehicles: Synergistic advancement of intelligent and connected technologies
An applied deep reinforcement learning approach to control active networked microgrids in smart cities with multi-level participation of battery energy storage system and electric vehicles
A parallelized environmental-sensing and multi-tasks model for intelligent marine structure control in ocean waves coupling deep reinforcement learning and computational fluid dynamics
A Deep Concurrent Learning-based Robust and Optimal Energy Management Strategy for Hybrid Battery Systems in Electrical Vehicles: A Thermal-And Health-Aware Design Approach
Model Guided Extremum Seeking and Active Disturbance Rejection Control for Efficiency Real-Time Optimization of PEMFC System
showing the first 200 of 332
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