燃料电池重卡动力系统能量管理策略研究  被引量:3

Study on energy management strategy of fuel cell heavy truck power system

在线阅读下载全文

作  者:赵旭荣 李俊杰 ZHAO Xurong;LI Junjie(Department of Mechanical and Electrical Engineering,Shanxi Engineering Vocational College,Taiyuan 030062,Shanxi,China;Taiyuan Locomotive Depot of Daqin Railway Co.,Ltd.,Taiyuan 030000,Shanxi,China)

机构地区:[1]山西工程职业学院机电工程系,山西省太原市030062 [2]大秦铁路股份有限公司太原机务段,山西省太原市030000

出  处:《农业装备与车辆工程》2023年第6期131-136,共6页Agricultural Equipment & Vehicle Engineering

摘  要:以4×2型氢燃料电池重卡为研究对象,针对其动力系统的能量管理策略展开研究。首先,提出一种基于模糊控制的氢燃料电池重卡动力系统控制策略;然后,对常用的功率跟随型控制策略和模糊控制策略进行理论分析与设计;最后,利用AVL-Cruise软件建立整车模型和能量管理策略模型,并联合Simulink与MATLAB软件进行仿真,通过城市UDC工况、六工况和40 km/h等速工况进行仿真计算,对比验证2种控制策略的经济性。结果表明:模糊控制能量管理策略相较功率跟随式能量控制策略经济性有明显提高,能量分配更为合理,为后续进一步对燃料电池汽车的动力系统优化提供了参考。Taking the 4×2 hydrogen fuel cell heavy truck as the research object,the energy management strategy of its power system of was studied.Firstly,a control strategy of hydrogen fuel cell heavy truck power system based on fuzzy control is proposed;Then,the power following control strategy and fuzzy control strategy are analyzed and designed;Finally,AVL Cruise software is used to establish the vehicle model and energy management strategy model,and Simulink and MATLAB software are combined for simulation.The simulation calculation is carried out through urban UDC working condition,six working conditions and 40 km/h constant speed working condition,so as to compare and verify the economy of the two control strategies.The results show that the economy of the fuzzy control energy management strategy is significantly improved compared with the power following energy control strategy,and the energy distribution is more reasonable,which provides a reference for further optimization of the power system of fuel cell vehicles.

关 键 词:氢燃料电池重卡 AVL-Cruise 能量管理策略 动力性仿真 模糊控制策略 

分 类 号:TK91[动力工程及工程热物理]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象