基于改进粒子群算法的燃料电池公交车模糊能量管理策略OA

Introducing a power battery as an auxiliary energy source in fuel cell systems can optimize power distribution and enhance overall vehicle economy.For hybrid electric vehicles equipped with both fuel cells and power batteries,conventional fuzzy energy management strategies exhibit drawbacks such as high subjectivity and poor adaptability.These limitations often lead to severe fuel cell power fluctuations and reduced lifespan.Therefore,this study proposes an improved particle swarm optimization based on fuzzy logic control to optimize the membership functions,with the objective of minimizing hydrogen consumption.A simulation model is established using the Matlab/Simulink and AVL Cruise M platforms,and simulation experiments are conducted under typical driving cycles,namely the urban bus driving cycle and the heavy-duty commercial vehicle driving cycle.The results demonstrate that the proposed strategy achieves smoother fuel cell output power,effectively reduces hydrogen consumption under both driving cycles,and improves overall vehicle economy.