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基于小波分层解耦的氢燃料电池复合电源拖拉机能量管理策略

Energy management strategy of hydrogen fuel cell hybrid power tractor based on wavelet stratified decoupling

  • 摘要: 针对单一能量系统无法充分发挥其优势,无法较好满足拖拉机作业时随机载荷谱密度大的问题,设计了基于氢燃料电池、动力电池、超级电容并联的电动拖拉机复合式能量系统.基于Haar小波与逻辑门限规则的分层解耦控制能量管理策略,实现了负载需求功率的高频信号、次高频信号、稳态信号的分层解耦,并对解耦后的功率信号进行功率分配.进行了模型在环仿真测试,结果表明:与功率跟随式控制策略及模糊控制策略相比,所建立的分层解耦控制策略氢燃料电池平均效率在试验循环内分别提高了2.85%、1.21%,整车等效氢气消耗量分别降低了16.11%、6.88%.本控制策略可以在满足整车负载需求功率的基础上提高整车经济性,并使燃料电池以高效平稳的工作状态输出功率.

     

    Abstract: To solve the problems that single energy system could not give full play to its advantages and could not well satisfy the high density of random load spectrum during the operation of tractor, the composite energy system of electric tractor was designed based on parallel connection of hydrogen fuel cell, power battery and supercapacitor. The hierarchical decoupling control energy management strategy based on Haar wavelet and logical threshold rules was designed to realize the hierarchical decoupling of high frequency signal, sub-high frequency signal and steady state signal, and the power signal was distributed after decoupling. The simulation results show that compared with the power following control strategy and the fuzzy control strategy, the average efficiency of the hydrogen fuel cell based on the layered decoupling control strategy is respectively improved by 2.85% and 1.21%, and the vehicle equivalent hydrogen consumption is respectively reduced by 16.11% and 6.88% in the experimental cycle. The proposed control strategy can improve the vehicle economy on the promise of meeting the power demand of vehicle load, and the fuel cell can output power in efficient and stable working state.

     

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