An H2-consumption-minimization-based energy management strategy of hybrid fuel cell/battery power system for UAVs
- Resource Type
- Conference
- Authors
- Tian, Chongyang; Huangfu, Yigeng; Quan, Sheng; Li, Peng; Zhang, Yonghui; Zhao, Jun
- Source
- 2021 IEEE 1st International Power Electronics and Application Symposium (PEAS) Power Electronics and Application Symposium (PEAS), 2021 IEEE 1st International. :1-6 Nov, 2021
- Subject
- Power, Energy and Industry Applications
Hydrogen
Fuel cells
Optimization methods
Autonomous aerial vehicles
Hybrid power systems
Power electronics
Fuels
UAV
hybrid power system
EMS
DP
FSM
- Language
In this paper, an energy management strategy (EMS) based on dynamic programming (DP) is proposed for fuel cell/battery hybrid power system of electric unmanned aerial vehicles (UAVs). The proposed EMS can obtain the global optimal solution while reducing the stress of the fuel cell. An EMS with 10 submodes based on finite state machine (FSM) is designed simultaneously for comparative analysis. The strategies mentioned above are implemented in MATLAB, and the results show that the DP method can reduce hydrogen consumption by 4.42% compared with FSM.