Multi-objective reinforcement learning-based energy management for fuel cell vehicles considering lifecycle costs

Author:

Wu J.J.,Song D.F.,Zhang X.M,Duan C.S.,Yang D.P.

Funder

Natural Science Foundation of Jilin Province

National Natural Science Foundation of China

Jilin Provincial Science and Technology Department

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Condensed Matter Physics,Fuel Technology,Renewable Energy, Sustainability and the Environment

Reference53 articles.

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3. Hydrogen production technology promotes the analysis and prospect of the hydrogen fuel cell vehicles development under the background of carbon peak and carbon neutrality in China;Jiang;ACS Omega,2022

4. Realistic simulation of fuel economy and lifecycle metrics for hydrogen fuel cell vehicles;Ahmadi;Int J Energy Res,2017

5. Optimal energy management strategy of fuel-cell battery hybrid electric mining truck to achieve minimum lifecycle operation costs;Feng;Int J Energy Res,2020

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