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Online energy management system for a fuel cell/battery hybrid system with multiple fuel cell stacks
The online energy management system (EMS) is essential for these hybrid systems, tasked with controlling the energy flow and ensuring optimal system performance, encompassing fuel efficiency and mitigating fuel cell and battery degradation.
Electric Vehicle Battery Remaining Charging Time Estimation Considering Charging Accuracy and Charging Profile Prediction
A highly accurate RCT estimation algorithm for electric vehicles is in high demand and will continue to be as EVs become more popular.
A Cloud-Based Energy Management Strategy for Hybrid Electric City Bus Considering Real-Time Passenger Load Prediction
The Gradient Boost Decision Tree model is selected due to its best accuracy and high stability.
Energy Consumption and Battery Aging Minimization Using a Q-learning Strategy for a Battery/Ultracapacitor Electric Vehicle
Then, the result from a vehicle without ultracapacitor is used as the baseline, which is compared with the results from the vehicle with ultracapacitor using Q-learning, and two heuristic methods as the energy management strategies.
Learning Time Reduction Using Warm Start Methods for a Reinforcement Learning Based Supervisory Control in Hybrid Electric Vehicle Applications
This study aims to reduce the learning iterations of Q-learning in HEV application and improve fuel consumption in initial learning phases utilizing warm start methods.
