Artificial intelligence/machine learning in energy management systems, control, and optimization of hydrogen fuel cell vehicles
Environmental emissions, global warming, and energy-related concerns have accelerated
the advancements in conventional vehicles that primarily use internal combustion engines …
the advancements in conventional vehicles that primarily use internal combustion engines …
A systematic review of reinforcement learning application in building energy-related occupant behavior simulation
H Yu, VWY Tam, X Xu - Energy and Buildings, 2024 - Elsevier
The building and construction industry has consistently been a major contributor to energy
consumption and carbon emissions. With stochastic interactions between occupants and …
consumption and carbon emissions. With stochastic interactions between occupants and …
[HTML][HTML] A quasi-oppositional learning of updating quantum state and Q-learning based on the dung beetle algorithm for global optimization
Z Wang, L Huang, S Yang, D Li, D He… - Alexandria Engineering …, 2023 - Elsevier
There are many tricky optimization problems in real life, and metaheuristic algorithms are the
most effective way to solve optimization problems at a lower cost. The dung beetle …
most effective way to solve optimization problems at a lower cost. The dung beetle …
Health-awareness energy management strategy for battery electric vehicles based on self-attention deep reinforcement learning
The economical and safe energy management strategy (EMS) is essential for a battery
electric vehicle (BEV). With an improved deep deterministic policy gradient (DDPG)-based …
electric vehicle (BEV). With an improved deep deterministic policy gradient (DDPG)-based …
Cyber-physical models for distributed CAV data intelligence in support of self-organized adaptive traffic signal coordination control
While more studies have been focused on adaptive traffic signal control (ATSC) algorithms
to learn the control policy from interactions with the traffic environment by using connected …
to learn the control policy from interactions with the traffic environment by using connected …
Model-Free Prescribed Performance Control of Adaptive Cruise Control Systems via Policy Learning
Model-free control does not require precise system dynamic information, but rather meets
performance requirements by directly designing a control law. This method is particularly …
performance requirements by directly designing a control law. This method is particularly …
Hierarchical energy management for extended-range electric vehicles considering range extender dynamic coordination
L Han, X Zhou, N Yang, H Liu, C Xiang - Journal of Power Sources, 2024 - Elsevier
Due to the dynamic characteristics of the range extender, the energy management
commands of the range-extender electric vehicle (EREV) cannot be tracked well, which …
commands of the range-extender electric vehicle (EREV) cannot be tracked well, which …
A novel ML-MCDM-based decision support system for evaluating autonomous vehicle integration scenarios in Geneva's public transportation
This paper proposes a novel decision-support system (DSS) to assist decision-makers in the
ULTIMO project with integrating Autonomous Vehicles (AVs) in Geneva, Switzerland …
ULTIMO project with integrating Autonomous Vehicles (AVs) in Geneva, Switzerland …
A deep reinforcement learning-based approach for autonomous lane-changing velocity control in mixed flow of vehicle group level
As an important driving behavior, lane-changing has a great impact on the safety and
efficiency of traffic flow interacting with surrounding vehicles, especially in mixed traffic flows …
efficiency of traffic flow interacting with surrounding vehicles, especially in mixed traffic flows …
Energy management controllers: strategies, coordination, and applications
Energy management controllers (EMCs) are pivotal for optimizing energy consumption and
ensuring operational efficiency across diverse systems. This review paper delves into the …
ensuring operational efficiency across diverse systems. This review paper delves into the …