摘要
[目的]针对寿命衰减对燃料电池效率和动力系统耐久性的影响,提出考虑燃料电池寿命衰减的自适应等效氢耗最小策略。[方法]基于燃料电池效率与退化之间的关系,引入燃料电池退化因子,设计考虑效率退化的能量管理目标函数,进而分析燃料电池退化影响因素,构建兼顾经济性与耐久性的功率分配优化体系,并在燃料电池轻微退化、半退化和严重退化这3种典型场景下进行对比实验,验证所提策略在燃料电池全生命周期内的优化性能。[结果]仿真结果表明,与原策略相比,在燃料电池全生命周期内,所提策略最多可使燃料电池退化率降低12.4%、船舶单航次成本降低4.97%。[结论]在燃料电池全生命周期内,该策略能有效提高船舶混合动力系统的经济性与耐久性。
[Objective]In view of the effects of life decay on fuel cell efficiency and power system performance,an adaptive equivalent hydrogen consumption minimization strategy is proposed that considers the life decay of fuel cells.[Methods]Based on the relationship between fuel cell efficiency and degradation rate,a fuel cell degradation factor is introduced to design an energy management objective function that considers efficiency degradation.The influence factors of fuel cell degradation are then analyzed,and a power distribution optimization system that considers both economy and durability is constructed.Finally,the optimization performance of the proposed strategy in the whole life cycle of the fuel cell is verified by comparison experiments under three typical scenarios:slight degradation,semi-degradation and severe degradation.[Results]Compared with the original strategy,the proposed strategy can reduce fuel cell degradation by up to 12.4%and ship voyage cost by 4.97%during the whole life cycle of the fuel cell.[Conclusion]This method can effectively improve the economy and durability of marine hybrid power systems.
作者
王宁
宋炳松
高田宇
WANG Ning;SONG Bingsong;GAO Tianyu(Marine Engineering College,Dalian Maritime University,Dalian 116026,China;Marine Electrical Engineering College,Dalian Maritime University,Dalian 116026,China)
出处
《中国舰船研究》
北大核心
2025年第4期222-232,共11页
Chinese Journal of Ship Research
基金
国家高层次人才支持计划资助项目(SQ2022QB00329)
国家自然科学基金资助项目(U23A20680,52271306)
国防基础科研计划资助项目(JCKY2022410C013)
辽宁省“兴辽英才计划”领军人才资助项目(XLYC2202005)
大连市科技创新基金重大基础研究资助项目(2023JJ11CG009)
中央高校基本科研业务费专项资金资助项目(3132023501)。
关键词
混合动力船舶
燃料电池
寿命衰减
能量管理
等效氢耗最小策略
hybrid electric vehicles
fuel cell
life decay
energy management
equivalent hydrogen consumption minimization strategy
