A5049369107- Electric and Hybrid Vehicle Technologies
- Electric Vehicles and Infrastructure
- Vehicle emissions and performance
- Advanced Battery Technologies Research
- Fuel Cells and Related Materials
- Traffic control and management
- Microgrid Control and Optimization
RMIT University
2020-2025
MIT University
2022
Environmental emissions, global warming, and energy-related concerns have accelerated the advancements in conventional vehicles that primarily use internal combustion engines. Among existing technologies, hydrogen fuel cell electric hybrid may minimal contributions to greenhouse gas emissions thus are prime choices for environmental concerns. However, energy management is a major challenge. Appropriate control strategies should be used effective these vehicles. On other hand, there has been...
Autonomous vehicles are aimed to reduce accidents and traffic congestion. Since hybrid electric offer feasible solutions energy consumption emission the environment, it is expected that autonomous will be powered through a system compared other alternatives. In this paper, vehicle studied under significant amount of uncertainty ambiguity in road environment driver behavior. A Type 1 fuzzy logic controller constructed here address uncertainties driving conditions. The design involves building...
Reducing emissions and energy consumption of autonomous vehicles is critical in the modern era. This paper presents an intelligent management system based on Reinforcement Learning (RL) for conventional vehicles. Furthermore, order to improve efficiency, a new exploration strategy proposed replace traditional decayed ε-greedy Q-learning algorithm associated with RL. Unlike algorithms, self-adaptive (SAQ-learning) can be applied real-time. The learning capability controllers help vehicle deal...
This paper proposes an intelligent energy management system (EMS) based on Multi-Armed Bandit (MAB) algorithm to enhance vehicle powertrain efficiency and reduce emissions in Conventional Autonomous Vehicles (CAVs) a spark-ignition engine. The presented EMS includes Support Vector Machine (SVM) multi-objective MAB. Multi-objective MAB aims minimize fuel consumption emissions. requires adaptive online classification of data environment specification. SVM works inside the create...
Automotive companies continue to develop integrated safety, sustainability, and reliability features that can help mitigate some of the most common driving risks associated with autonomous vehicles (AVs). Hybrid electric (HEVs) offer practical solutions use control strategies cut down fuel usage emissions. AVs HEVs are combined take advantages each kind solve problem wasting energy. This paper presents an intelligent driver assistance system, including adaptive cruise (ACC) energy management...
A sustainable circular economy involves designing and promoting new products with the least environmental impact through increasing efficiency. The emergence of autonomous vehicles (AVs) has been a revolution in automobile industry breakthrough opportunity to create more transportation future. Autonomous are supposed provide safe, easy-to-use environmentally friendly means transport. To this end, improving AVs’ safety energy efficiency by using advanced control optimization algorithms become...
The emission and energy consumption of an autonomous vehicle is critical in the modern era. This paper presents intelligent management system based on reinforcement learning method for conventional vehicles. Furthermore, directing at different problems with operational time a Q-learning algorithm, new exploration strategy proposed to replace traditional decayed ε-greedy algorithm. Unlike algorithms, this self-adaptive (SAQ-learning) can be implemented work as real-time controller. capability...