摘要
基于模糊逻辑控制进行燃料电池混合动力汽车(FCHEV)能量管理策略设计。根据燃料电池/锂电池混合储能系统特性,设计模糊控制规则。考虑将燃料电池工作效率和电流添加为模糊控制器输入量,对模糊规则进行改进。针对FCHEV模糊控制能量管理策略存在的局限性,以氢耗量最优为目标,结合灰狼优化(GWO)和改进的灰狼优化算法(IGWO)进一步对模糊逻辑参数进行优化。在满足功率需求的前提下,实现燃料电池和锂电池间功率的合理分配,并将SOC维持在一定区间。仿真结果表明:新提出的基于IGWO的模糊逻辑能量管理策略相较其他几种能量管理策略显著降低了FCHEV的等效氢耗量。在不同驾驶工况下,燃料电池均可工作在高效区间,延长燃料电池的使用寿命。
In this paper,the energy management strategy of a fuel cell hybrid electric vehicle(FCHEV)was designed based on fuzzy logic.Firstly,fuzzy rules were designed according to the characteristics of fuel cell/li-ion battery hybrid energy storage system.Then the fuzzy rules were improved considering the efficiency and output current of the fuel cell which were added to the fuzzy logic controller as input parameter.Finally,to overcome the inherent limits of fuzzy logic control method,grey wolf optimization(GWO)and its improved form(IGWO)were employed to further optimize the parameters of fuzzy logic controller in order to fulfil the power demand as well as realize the reasonable power allocation between fuel cell and battery and maintain SOC within reasonable ranges.The simulation results indicated that the proposed IGWO optimized fuzzy logic energy management strategy could apparently reduce the equivalent hydrogen consumption of FCHEV,in comparison to other fuzzy logic based strategies.Meanwhile,fuel cell was working within high efficiency region during various driving cycles which was helpful to prolong the longevity of fuel cell.
作者
周健豪
顾诚
刘军
海滨
赛影辉
ZHOU Jianhao;GU Cheng;LIU Jun;HAI Bin;SAI Yinghui(Chery Automobile Co.,Ltd.,Wuhu 241009,China;School of Energy and Power,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,Chin)
出处
《重庆理工大学学报（自然科学）》
CAS
北大核心
2021年第5期33-41,共9页
Journal of Chongqing University of Technology：Natural Science
基金
国家自然科学基金项目(51805254)
中国博士后基金项目(2018M642244)
安徽省新能源汽车暨智能网联汽车创新工程项目。
关键词
能量管理策略
模糊逻辑
灰狼优化
燃料电池
energy management strategy
fuzzy logic
grey wolf optimization
fuel cell
