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Energy management strategy of fuel cell hybrid power UAV based on TD3-PER

https://doi.org/10.2139/ssrn.7602612
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inferredcites →https://doi.org/10.1016/j.apenergy.2014.12.062openalex-snapshot
Lifetime prediction and the economic lifetime of Proton Exchange Membrane fuel cells
inferredcites →https://doi.org/10.1016/j.apenergy.2018.03.104openalex-snapshot
Continuous reinforcement learning of energy management with deep Q network for a power split hybrid electric bus
inferredcites →https://doi.org/10.1016/j.apenergy.2025.126678openalex-snapshot
A comprehensive system simulation from PEMFC stack to fuel cell vehicle
inferredcites →https://doi.org/10.1016/j.energy.2025.136308openalex-snapshot
Research on a novel multi-agent deep reinforcement learning eco-driving framework
inferredcites →https://doi.org/10.1016/j.ijhydene.2016.08.157openalex-snapshot
An Energy Management Strategy to concurrently optimise fuel consumption & PEM fuel cell lifetime in a hybrid vehicle
inferredcites →https://doi.org/10.1016/j.ijhydene.2019.09.178openalex-snapshot
Dynamic modelling and controlling strategy of polymer electrolyte fuel cells
inferredcites →https://doi.org/10.1016/j.ijhydene.2021.12.121openalex-snapshot
Optimized rule-based energy management for a polymer electrolyte membrane fuel cell/battery hybrid power system using a genetic algorithm
inferredcites →https://doi.org/10.1016/j.ijhydene.2023.05.311openalex-snapshot
Energy sources durability energy management for fuel cell hybrid electric bus based on deep reinforcement learning considering future terrain information
inferredcites →https://doi.org/10.1016/j.ijhydene.2024.03.100openalex-snapshot
Fuzzy logic optimized threshold-based energy management strategy for fuel cell hybrid E-bike
inferredcites →https://doi.org/10.1016/j.ijhydene.2024.11.127openalex-snapshot
A deep learning method based on CNN-BiGRU and attention mechanism for proton exchange membrane fuel cell performance degradation prediction
inferredcites →https://doi.org/10.1016/j.jpowsour.2008.12.120openalex-snapshot
Energy management of fuel cell/battery/supercapacitor hybrid power source for vehicle applications
inferredcites →https://doi.org/10.1016/j.jpowsour.2017.08.107openalex-snapshot
Online energy management strategy of fuel cell hybrid electric vehicles based on data fusion approach
inferredcites →https://doi.org/10.1109/tiv.2020.3012947openalex-snapshot
Comparison of Deep Reinforcement Learning and Model Predictive Control for Adaptive Cruise Control
inferredcites →https://doi.org/10.1109/tste.2018.2818259openalex-snapshot
An Energy Management Strategy of Hybrid Energy Storage Systems for Electric Vehicle Applications
inferredcites →https://doi.org/10.1109/tvt.2017.2747135openalex-snapshot
Multisource Coordination Energy Management Strategy Based on SOC Consensus for a PEMFC–Battery–Supercapacitor Hybrid Tramway
inferredcites →https://doi.org/10.1109/tvt.2020.3031000openalex-snapshot
Cost Minimization Strategy for Fuel Cell Hybrid Electric Vehicles Considering Power Sources Degradation
inferredcites →https://doi.org/10.12989/sss.2014.13.6.1065openalex-snapshot
A review of rotorcraft Unmanned Aerial Vehicle (UAV) developments and applications in civil engineering
inferredcites →https://doi.org/10.3182/20060912-3-de-2911.00128openalex-snapshot
RULE-BASED ENERGY MANAGEMENT STRATEGIES FOR HYBRID VEHICLE DRIVETRAINS: A FUNDAMENTAL APPROACH IN REDUCING COMPUTATION TIME
inferredcites →https://doi.org/10.3390/en8077243openalex-snapshot
Reinforcement Learning–Based Energy Management Strategy for a Hybrid Electric Tracked Vehicle
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