@inproceedings{ddb30ca5a4fb4085b78e7bedefe8ab7d,
title = "A Novel Energy Management Strategy Considering Internal Loss and Hydrogen Consumption for Fuel Cell UAV",
abstract = "Energy management strategies (EMS) play an important role in improving system performance and fuel economy for fuel cell UA V hybrid power system. To effectively reduced the internal loss of the system and further improved the fuel economy, an energy management strategy based on model predictive control (MPC) was proposed. The internal loss and hydrogen consumption of the power system were constructed as a total energy consumption objective function. The output current of the fuel cell was controlled by solving the objective function to achieve reasonable energy distribution. Then the simulation was carried out in MATLAB/Simulink to verify the rationality and effectiveness of the proposed strategy. Compared with the equivalent consumption minimum strategy (ECMS), the result proved that the proposed strategy can significantly reduce the internal loss and hydrogen consumption of the power system. Besides, the strategy can also maintain the state of charge (SOC) of the battery and prolong the service life of the power system.",
keywords = "energy management strategy, Fuel Cell UA V, hybrid power system, predictive control strategy",
author = "Hailong Sun and Rui Ma and Jian Song and Congcong Wang and Xiaoyue Chai and Zhi Feng",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023 ; Conference date: 21-06-2023 Through 23-06-2023",
year = "2023",
doi = "10.1109/ITEC55900.2023.10186984",
language = "英语",
series = "2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 IEEE Transportation Electrification Conference and Expo, ITEC 2023",
}