摘要
为改善航空燃料电池推进系统的燃料消耗情况并提升系统运行效率,该文提出一种考虑多飞行任务模式与外部最大能耗的综合能量管理方法。在优化常规极小值原理策略的基础上,针对飞行器飞行工况的变化率进行区间划分,改变系统目标函数系数。采用最大外部能耗算法求解超级电容的充放电电压与母线电压的偏差量来实时调整哈密顿函数中的协态变量。最后,通过求解目标函数来控制燃料电池系统的输出功率。基于实时仿真硬件在环测试平台的验证结果表明,所提算法相对于传统的等效氢耗和庞特里亚金最小值原理算法,分别将系统等效氢耗降低了4.6%和3.2%,将系统的平均运行效率提升了10.3%和5.5%,在减少燃料电池系统所承受的应力同时,提升了系统输出的稳定性。
To effectively reduce fuel consumption and improve operating efficiency of the aviation fuel cell propulsion system, this paper proposes a composite energy management method that considers the multi-mission flight mode and the maximum external energy consumption. Based on the optimization of the conventional minimum principal strategy, the interval of the load power change rate is divided to adjust the coefficient of the objective function. Furthermore, the maximum external energy consumption algorithm is implemented to solve the deviation between the supercapacitor charging or discharging voltage and the bus voltage to adjust the co-state variables in the Hamiltonian function in real time. Finally, the output power of the fuel cell system is controlled by solving the objective function. A hardware-in-the-loop experimental test platform is built to compare the superiority between the proposed EMS and traditional equivalent hydrogen consumption and Pontryagin minimum principle algorithm. The results indicate that the proposed algorithm can reduce the equivalent hydrogen consumption of the system by 4.6% and 3.2%, and increase the average operating efficiency of the system by 10.3% and 5.5%, respectively. Besides, it can reduce the stress on the fuel cell system and improve the stability of the system.
作者
马睿
宋剑
王宇昂
张宏宇
梁波
李玉忍
MA Rui;SONG Jian;WANG Yu’ang;ZHANG Hongyu;LIANG Bo;LI Yuren(School of Automation,Northwestern Polytechnical University,Xi’an 710072,Shaanxi Province,China)
出处
《中国电机工程学报》
EI
CSCD
北大核心
2023年第1期221-235,共15页
Proceedings of the CSEE
基金
国家自然科学基金项目(52007155)
航空科学基金重点实验室联合项目(20200019053005)。
关键词
燃料电池
能量管理策略
电推进系统
极小值原理
fuel cell
energy management strategy
electric propulsion system
pontryagin minimum principle