燃料电池有轨电车能量管理策略多目标优化

doi:10.3901/JME.2018.22.153

机械工程学报 ›› 2018, Vol. 54 ›› Issue (22): 153-159.doi: 10.3901/JME.2018.22.153

燃料电池有轨电车能量管理策略多目标优化

杨继斌^1,2, 徐晓惠¹, 张继业², 宋鹏云^2,3

1. 西华大学汽车与交通学院成都 610039;
2. 西南交通大学牵引动力国家重点实验室成都 610031;
3. 西南民族大学电气信息工程学院成都 610041

收稿日期:2017-10-06 修回日期:2018-08-01 出版日期:2018-11-20 发布日期:2018-11-20
通讯作者: 徐晓惠(通信作者),女,1982年出生,副教授,硕士研究生导师。主要研究方向为复杂非线性关联大系统的稳定性分析与控制和新能源车辆控制。E-mail:xhxu@163.com
作者简介:杨继斌,男,1989年出生,博士。主要研究方向为混合动力车辆控制与优化。E-mail:jibin_yang@qq.com;张继业,男,1965年出生,博士,教授,博士研究生导师。主要研究方向为高速列车流固耦合动力学、复杂系统的稳定性与控制和混合动力车辆。E-mail:jyzhang@home.swjtu.edu.cn
基金资助:
四川省教育厅自然科学重点（17ZA0364）、国家自然科学基金（11572264）、流体及动力机械教育部重点实验室研究基金（szjj2016-007）、汽车测控与安全四川省重点实验室研究基金（szjj2017-074）资助项目。

Multi-objective Optimization of Energy Management Strategy for Fuel Cell Tram

YANG Jibin^1,2, XU Xiaohui¹, ZHANG Jiye², SONG Pengyun^2,3

1. School of Automobile and Transportation, Xihua University, Chengdu 610039;
2. State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031;
3. College of Electrical & Information Engineering, Southwest University for Nationalities, Chengdu 610000

Received:2017-10-06 Revised:2018-08-01 Online:2018-11-20 Published:2018-11-20

摘要/Abstract

摘要： 为研究一类以质子交换膜燃料电池、超级电容和动力电池为动力源的混合动力有轨电车能量管理问题，首先介绍该类有轨电车的混合动力系统结构和工作特点，提出一种基于系统工作模式的逻辑门限式能量管理策略，工作模式的切换通过多个控制参数来实现。针对该能量管理策略中控制参数的不确定性，应用多目标遗传算法，将整车超级电容和动力电池的最小配置成本以及有轨电车运行的能耗、准时性、准地点停车作为优化目标，对影响列车动力性能的主要能量管理策略控制参数进行优化。以国内某规划线路为实例，在已通过实车试验数据验证的系统仿真模型中进行优化分析，优化结果表明，在保证列车动力性能的前提下，优化后列车的总牵引能耗减少了约12.5%，回收的再生制动能量增加了约14.5%，燃料电池的平均效率提高了约0.83%；同时通过优化得到了超级电容和动力电池的最小容量配置，为整车车载储能系统的冗余配置提供参考。

关键词: 多目标优化, 混合动力有轨电车, 能量管理, 燃料电池

Abstract: In order to study the energy management problems of a tram based on fuel cell, ultracapacitor and battery, the hybrid powertrain system structure and operation characteristics of tram are introduced, then an energy management strategy based on system operation mode is proposed, and the switching of the operation mode is achieved through a number of control parameters. Due to the uncertainty of the control parameters in the energy management strategy based on system operation mode, the minimum configuration cost of ultracapacitor and battery, the energy consumption of tram operation, punctuality and precise positioning parking are taken as the optimization goals, the multi-objective genetic algorithm(GA) is applied to optimize the control parameters in the control strategy. Taking a domestic planning line as an example, the optimization analysis is carried out in the system simulation model which has been verified by test data of a real tram, optimization results show that the total traction energy of the optimized tram is reduced by about 12.5% without sacrificing tram dynamic performance, the recovered regenerative braking energy is increased by about 14.5%, and the average efficiency of the fuel cell is increased by about 0.83%. Meanwhile, the minimum configuration of the ultracapacitor pack and battery pack are obtained by optimization, which provides the reference for the redundant configuration of the energy storage system.

Key words: energy management, fuel cell, hybrid tram, multi-objective optimization

中图分类号:

U482

杨继斌, 徐晓惠, 张继业, 宋鹏云. 燃料电池有轨电车能量管理策略多目标优化[J]. 机械工程学报, 2018, 54(22): 153-159.

YANG Jibin, XU Xiaohui, ZHANG Jiye, SONG Pengyun. Multi-objective Optimization of Energy Management Strategy for Fuel Cell Tram[J]. Journal of Mechanical Engineering, 2018, 54(22): 153-159.

参考文献

[1] 沈景炎. 我国现代有轨电车的发展、标准与规划探讨[J]. 城市轨道交通研究,2015,28(6):6-11. SHEN Jingyan. Discussion on development, criterion and planning of tram in china[J]. Urban Mass Transit,2015,28(6):6-11.
[2] HERRERA V,MILO A,CAZTANAGE L,et al. Adaptive energy management strategy and optimal sizing applied on a battery-supercapacitor based tramway[J]. Applied Energy,2016,169:831-845.
[3] 陈维荣,卜庆元,刘志祥,等. 燃料电池混合动力有轨电车动力系统设计[J]. 西南交通大学学报,2016,51(3):430-436. CHEN Weirong,BU Qingyuan,LIU Zhixiang,et al. Power system design for a fuel cell hybrid power tram[J]. Journal of Southwest Jiaotong University,2016,51(3):430-436.
[4] MILLER A R,HESS K S,BARNES D L,et al. System design of a large fuel cell hybrid locomotive[J]. Journal of Power Sources,2007,173(2):935-942.
[5] OGAWA K,YAMAMOTO T,HASEGAWA H,et al. Development of the fuel-cell/battery hybrid railway vehicle[C]//Vehicle Power and Propulsion Conference. Dearborn:IEEE,2009:1730-1735.
[6] 李明,刘楠,韩铁礼. 燃料电池有轨电车冷却装置降噪设计及实验研究[J]. 机械工程学报,2017,53(4):97-104. LI Ming,LIU Nan,HAN Tieli. Noise reduction design and experimental research of cooling system of fuel cell tram[J]. Journal of Mechanical Engineering,2017,53(4):97-104.
[7] 王钦普,杜思宇,李亮,等. 基于粒子群算法的插电式混合动力客车实时策略[J]. 机械工程学报,2017,53(4):77-84. WANG Qinpu,DU Siyu,LI Liang,et al. Real-time energy management strategy for plug-in hybrid electric bus on particle swarm optimization algorithm[J]. Journal of Mechanical Engineering,2017,53(4):97-104.
[8] GARCIA P,FERNANDEZ L M,TORREGLOSA J P,et all. Operation mode control of a hybrid power system based on fuel cell/battery/ultracapacitor for an electric tramway[J]. Computers and Electrical Engineering,2013,39(7):1993-2004.
[9] TORREGLOSA J P,JURADO F,GARCIA P,et al. Application of cascade and fuzzy logic based control in a model of a fuel-cell hybrid tramway[J]. Engineering Applications of Artificial Intelligence,2011,24(1):1-11.
[10] GARCIA P,FERNANDEZ L M,TORREGLOSA J P,et al. Comparative study of four control systems for a 400-kW fuel cell battery-powered tramway with two dc/dc converters[J]. European Transactions on Electrical Power,2013,23(7):1028-1048.
[11] GARCIA P,TORREGLOSA J P,FERNANDEZ L M,et al. Control strategies for high-power electric vehicles powered by hydrogen fuel cell,battery and supercapacitor[J]. Expert Systems with Applications,2013,40(12):4791-4804.
[12] GARCIA P,TORREGLOSA J P,FERNANDEZ L M,et al. Viability study of a FC-battery-SC tramway controlled by equivalent consumption minimization strategy[J]. International Journal of Hydrogen Energy,2012,37(11):9368-9382.
[13] TORREGLOSA J P,GARCIA P,FERNANDEZ L M. Predictive control for the energy management of a fuel-cell-battery-supercapacitor tramway[J]. IEEE Transactions on Industrial Informatics,2014,10(1):276-285.
[14] ZHANG W,LI J,XU L,et al. Optimization for a fuel cell/battery/capacity tram with equivalent consumption minimization strategy[J]. Energy Conversion and Management,2017,134:59-69.
[15] LI Q,CHEN W,LIU Z,et al. Development of energy management system based on a power sharing strategy for a fuel cell-battery-supercapacitor hybrid tramway[J]. Journal of Power Sources,2015,279:267-280.
[16] LI Q,YANG H,HAN Y,et al. A state machine strategy based on droop control for an energy management system of PEMFC-battery-supercapacitor hybrid tramway[J]. International Journal of Hydrogen Energy,2016,41(36):16148-16159.
[17] 李少波,杨观赐. 进化算法与混合动力系统优化[M]. 北京:机械工业出版社,2013. LI Shaobo,YANG Guanci. Evolution algorithm and optimization of hybrid system[M]. Beijing:China Machine Press,2013.
[18] HERRERA V I,GAZTANAGA H,MILO A,et al. Optimal energy management and sizing of a battery-supercapacitor-based light rail vehicle with a multiobjective approach[J]. IEEE Transactions on Industry Applications,2016,52(4):3367-3377.

燃料电池有轨电车能量管理策略多目标优化

Multi-objective Optimization of Energy Management Strategy for Fuel Cell Tram

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	刘辉, 李训明, 王伟达, 韩立金, 闫正军. 基于最优功率分配因子的插电式混合动力汽车实时能量管理策略研究[J]. 机械工程学报, 2019, 55(4): 91-101.
[2]	王涵, 江志刚, 张华, 王彦. 基于目标级联的废旧机械装备多目标优化再设计方法研究[J]. 机械工程学报, 2019, 55(3): 147-153.
[3]	崔大宾, 赵锐, 李俊, 佘家豪, 李立, 温泽峰. 面向轮缘磨耗的动车组车轮型面多目标优化设计[J]. 机械工程学报, 2019, 55(16): 104-113.
[4]	陈栋, 李世其, 王峻峰, 何旺, 丰意. 并联机构的运动学多目标轨迹规划方法[J]. 机械工程学报, 2019, 55(15): 163-173.
[5]	管超, 张则强, 李云鹏, 贾林. 多行设备布局的一种多目标差分进化算法和线性规划混合方法[J]. 机械工程学报, 2019, 55(13): 160-174.
[6]	张风奇, 胡晓松, 许康辉, 唐小林, 崔亚辉. 混合动力汽车模型预测能量管理研究现状与展望[J]. 机械工程学报, 2019, 55(10): 86-108.
[7]	熊玮, 黄海鸿, 朱利斌, 刘志峰. 基于产品制造过程内含能分级的冲压车间节能调度研究[J]. 机械工程学报, 2019, 55(10): 217-225.
[8]	俞燎宏, 荣见华, 赵志军, 陈一雄, 李方义. 多工况载荷下连续体结构柔顺度拓扑优化问题的新的求解方法[J]. 机械工程学报, 2018, 54(5): 210-219.
[9]	顾晓辉, 杨绍普, 刘永强, 任彬, 张建超. 基于多目标交叉熵优化的轮对轴承故障特征提取方法[J]. 机械工程学报, 2018, 54(4): 285-292.
[10]	李连升, 邓楼楼, 梅志武, 吕政欣, 刘继红. 聚焦型X射线脉冲星望远镜Pareto多目标优化与多场耦合分析[J]. 机械工程学报, 2018, 54(23): 174-184.
[11]	蒋荣超, 刘大维, 王登峰. 基于熵权TOPSIS方法的整车动力学性能多目标优化[J]. 机械工程学报, 2018, 54(2): 150-158.
[12]	尹超, 赵旭, 邱磊. 网络化协作加工设备约束特性及一种优化选择方法[J]. 机械工程学报, 2018, 54(13): 192-201.
[13]	林腾蛟, 曹洪, 谭自然, 何泽银, 吕和生. 四级行星齿轮减速器耦合系统动态性能优化[J]. 机械工程学报, 2018, 54(11): 161-171.
[14]	陈波, 高殿荣, 杨超, 毋少峰, 张光通. 大功率远程射雾器结构参数多目标智能协同优化^*[J]. 机械工程学报, 2017, 53(6): 166-175.
[15]	薛臣, 江志刚, 张旭刚, 王涵. 废旧机械装备零部件重用组合多目标优化模型及应用^*[J]. 机械工程学报, 2017, 53(5): 76-85.