吉林大学学报(工学版) ›› 2022, Vol. 52 ›› Issue (9): 2004-2013.doi: 10.13229/j.cnki.jdxbgxb20220266

• • 上一篇    

基于鱼群优化算法的有轨电车用燃料电池混合动力系统参数配置

刘继宗(),吴小平,孔维华   

  1. 西南交通大学 机械工程学院,成都 610031
  • 收稿日期:2022-03-19 出版日期:2022-09-01 发布日期:2022-09-13
  • 作者简介:刘继宗(1983-),男,助理研究员,博士研究生. 研究方向:燃料电池系统控制与优化. E-mail:liujizong@swjtu.cn
  • 基金资助:
    四川省科技计划(苗子工程)项目(2021JDRC0115)

Parameter configuration of fuel cell hybrid system for tram based on fish swarm optimization algorithm

Ji-zong LIU(),Xiao-ping WU,Wei-hua KONG   

  1. School of Mechanical Engineering,Southwest Jiaotong University,Chengdu 610031,China
  • Received:2022-03-19 Online:2022-09-01 Published:2022-09-13

摘要:

为满足燃料电池混合动力有轨电车的动力性能和容载性能需求,提出了一种基于鱼群优化算法的参数配置方法。基于有轨电车动力学模型,完成了3种行驶状态下的牵引力计算。选择了燃料电池/锂电池/超级电容混合动力系统,建立了以系统体积和质量最小为目标的多目标函数,通过鱼群优化算法求解燃料电池、锂电池和超级电容的配置数量,进行了参数配置结果分析和动力性能验证。结果表明:本文方法与粒子群方法相比,收敛速度更快、体积和质量更小、功率密度和能量密度更高,充分利用了各动力源的传输优点,能够保证有轨电车动力充足地行驶。

关键词: 燃料电池混合动力系统, 有轨电车, 参数配置, 鱼群算法

Abstract:

In order to meet the requirements of the power performance and load capacity of the fuel cell hybrid electric tram, a parameter configuration method based on the fish swarm optimization algorithm was proposed. Based on the tram dynamics model, the traction calculation under three driving states is completed, the fuel cell/lithium battery/supercapacitor hybrid power system is selected, and the multi-objective function with the smallest system volume and mass is established. The algorithm solves the configuration number of fuel cells, lithium batteries and super capacitors, and analyzes the parameter configuration results and the dynamic performance verification. The results show that compared with the particle swarm method, the method proposed in this paper has faster convergence speed, smaller volume and mass, higher power density and energy density, and makes full use of the transmission advantages of each power source to ensure the stable operation of trams.

Key words: fuel cell hybrid system, tram, parameter configuration, fish swarm algorithm

中图分类号: 

  • TM911.4

表1

有轨电车主要参数"

参数取值参数取值
整车质量/t58载重/t21

最大运行速度/

(km·h-1

70最大坡度角/%6
最大坡度速度/(km·h-130重力加速度/(m·s-29.8
最大加速度/(m·s-20.9Aw2.91
临界速度/(km·h-130Bw0.091
传动系统效率0.95Cw0.000 775
牵引逆变器效率0.93惯性质量系数0.1
电机效率0.9

图1

有轨电车动力模型"

图2

Case3牵引计算"

表2

三种行驶状态下的牵引功率和牵引能耗"

行驶状态行驶时间/s牵引功率/kW牵引能耗/kJ
Case152.2240.6312 500
Case2120.6537.7065 240
Case332.4874.5024 300.5

图3

燃料电池混合动力系统拓扑结构"

表3

燃料电池主要参数"

参数取值参数取值
总功率/kW200质量/kg1000
工作电压/V450~680体积/mm32000×2000×650
最大电流/A600

表4

储能单体主要参数"

参数锂电池超级电容
额定电压/V3.748
额定容量10 A·h165 F
内阻/mΩ1.56.3
最大持续电流/A120100
电池质量/kg0.313.9
电池体积/mm3203×127×6418×194×179

表5

传统参数配置方法"

类型数量/个质量/kg体积/m3
燃料电池220005.2
锂电池565169.50.0876
超级电容1431987.72.076

图4

追尾行为"

图5

综合性能设计层次结构"

图6

基于鱼群优化算法的燃料电池混合动力系统参数配置方法的流程框图"

图7

目标函数寻优迭代曲线"

表6

鱼群优化方法与传统方法对比"

传统方法PSOAFSA
燃料电池数量/套222
单体锂电池数量/个565472490
单体超级电容数量/个143127125
最大输出功率/kW1113.7951016.8561017.27
最大储能/(kW·h)13.99711.99112.178
总质量/kg4157.23906.93884.5
总体积/m37.3647.1177.026
收敛时间/s-1.360.31

图8

加速启动过程速度-时间曲线"

图9

功率分配曲线"

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