Deep stochastic reinforcement learning-based energy management strategy for fuel cell hybrid electric vehicles

Author:

Jouda Basel,Jobran Al-Mahasneh Ahmad,Mallouh Mohammed Abu

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference42 articles.

1. U.S. Environmental Protection Agency, “The Sources and Solutions: Fossil Fuels,” [Online]. Available: https://www.epa.gov/nutrientpollution/sources-and-solutions-fossil-fuels. [Accessed: January 1,2023].

2. A comprehensive evaluation framework to evaluate energy management strategies of fuel cell electric vehicles;Song;Electrochim Acta,2018

3. Combining a proton exchange membrane fuel cell (PEMFC) stack with a Li-ion battery to supply the power needs of a hybrid electric vehicle;Fathabadi;Renew Energy,2019

4. Comparative study of energy management strategies for hybrid proton exchange membrane fuel cell four wheel drive electric vehicle;Soumeur;J Power Sources,2020

5. Control strategy assessment for improving PEM fuel cell system efficiency in fuel cell hybrid vehicles;Luciani;Energies,2022

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