基于模糊控制的燃料电池电动轻卡能量管理策略研究

Research on Fuzzy Control-Based Energy Management Strategies for Fuel Cell Electric Light Trucks

以某款燃料电池电动轻型卡车作为研究对象,以提高燃料电池系统的经济性和耐久性为目的,利用Matlab/Simulink搭建了燃料电池电动轻卡动力系统仿真模型,对其能量管理策略进行优化。在原模糊控制策略的基础上进行改进,对燃料电池输出功率变化率进行约束,制定了一种改进后的模糊控制策略。将改进后的模糊控制策略与有限状态机控制策略和原模糊控制策略进行对比仿真验证。结果表明,在NEDC和UDDS循环工况下,改进后的模糊控制策略比原模糊控制策略氢耗量分别减少5.65%和8.29%;与有限状态机控制策略相比,改进后的模糊控制策略的氢耗量分别减少16.63%和10.64%,并且改进后的模糊控制策略的燃料电池输出功率波动幅度更小,变化更加稳定,提高了燃料电池系统的经济性和耐久性。

Taking a fuel cell electric light truck as the research object,a simulation model of the power system was built using Matlab/Simulink,in order to improve the economic efficiency and durability of the fuel cell system through the optimization of its energy management strategy.Based on the foundational fuzzy control,an improved fuzzy control strategy was developed to restrict the rate of change in the fuel cell output power.The performance of this strategy was compared with the finite state machine control strategy and the original fuzzy control to validate the simulation.The simulation results show that,under the NEDC and UDDS cycle conditions,the hydrogen consumption of the improved fuzzy control strategy is reduced by 5.65%and 8.29%respectively compared to the original strategy.Compared with the finite state machine control strategy,the improved fuzzy control strategy yields a reduction in hydrogen consumption by 16.63%and 10.64%with smaller fluctuations in the fuel cell output power,which results in a more stable performance and enhanced economic efficiency and durability of the fuel cell system.