电气技术2026，Vol.27Issue(1)：57-63,72,8.
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
Fuzzy energy management strategy for fuel cell buses based on improved particle swarm optimization
摘要
Abstract
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.关键词
燃料电池汽车/仿真模型/能量管理策略/模糊控制/改进粒子群算法Key words
fuel cell vehicles/simulation model/energy management strategy/fuzzy control/improved particle swarm optimization引用本文复制引用
PENG Ziqi,ZHU Zhiying,XU Zheng,YANG Pinhai,YANG Hangdong..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[J].电气技术,2026,27(1):57-63,72,8.基金项目
国家自然科学基金项目(52407051) 江苏省自然科学基金项目(BK20241966) 江苏高校"青蓝工程"资助项目(SJS202327) 江苏省配电网智能技术与装备协同创新中心开放基金项目(XTCX202404) （52407051）
