A Novel Energy Management Strategy Considering Internal Loss and Hydrogen Consumption for Fuel Cell UAV

H. Sun, Rui Ma, Jian Song, Congcong Wang, Xiaoyue Chai, Zhi Feng
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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.
考虑内部损耗和氢消耗的新型燃料电池无人机能量管理策略
能源管理策略在提高燃料电池uv混合动力系统的性能和燃油经济性方面发挥着重要作用。为了有效降低系统内部损失,进一步提高燃油经济性,提出了一种基于模型预测控制(MPC)的能量管理策略。将电力系统的内部损耗和耗氢量构建为总能耗目标函数。通过求解目标函数控制燃料电池的输出电流,实现能量的合理分配。然后在MATLAB/Simulink中进行仿真,验证了所提策略的合理性和有效性。通过与等效耗电最小策略(ECMS)的比较,证明了该策略能够显著降低电力系统的内部损耗和氢耗。此外,该策略还可以维持电池的荷电状态(SOC),延长电力系统的使用寿命。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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