Deep reinforcement learning with deep-Q-network based energy management for fuel cell hybrid electric truck
Author:
Funder
Guangdong Province Introduction of Innovative R&D Team
Publisher
Elsevier BV
Reference22 articles.
1. Comparative study of energy management strategies for hybrid proton exchange membrane fuel cell four-wheel drive electric vehicle;Soumeur;J Power Sources,2020
2. Review on health-conscious energy management strategies for fuel cell hybrid electric vehicles: degradation models and strategies;Yue;Int J Hydrogen Energy,2019
3. The methodology of decoupling fuel and thermal nitrogen oxides in multi-dimensional computational fluid dynamics combustion simulation of ammonia-hydrogen spark ignition engines;Yang;Int J Hydrogen Energy,2024
4. Bi-LSTM predictive control-based efficient energy management system for a fuel cell hybrid electric vehicle;Chatterjee;Sustainable Energy, Grids and Networks,2024
5. Improvement of ultracapacitors-energy usage in fuel cell-based hybrid electric vehicle;Valdez-Resendiz;Int J Hydrogen Energy,2020
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