燃料电池有轨电车能量管理与速度曲线协同优化

doi:10.3901/JME.2022.10.169

机械工程学报 ›› 2022, Vol. 58 ›› Issue (10): 169-179.doi: 10.3901/JME.2022.10.169

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燃料电池有轨电车能量管理与速度曲线协同优化

张晗^1,2, 杨继斌³, 张继业¹, 徐晓惠³

1. 西南交通大学牵引动力国家重点实验室成都 610031;
2. 中车工业研究院有限公司北京 100070;
3. 西华大学汽车与交通学院成都 610039

收稿日期:2021-07-24 修回日期:2021-12-24 出版日期:2022-05-20 发布日期:2022-07-07
通讯作者: 张继业(通信作者)，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
作者简介:张晗，男，1989年出生，博士，工程师。主要研究方向为燃料电池系统控制，混合动力车辆控制与优化。E-mail：h.zhang.phd@foxmail.com
基金资助:
中车"十四五"科技重大专项(2021CXZ021)、国家自然科学基金(12172308)和四川省科技厅项目(2021YFG0071)资助项目。

Cooperative Optimization for Fuel Cell Tram Energy Management and Speed Profile

ZHANG Han^1,2, YANG Jibin³, ZHANG Jiye¹, XU Xiaohui³

1. State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031;
2. CRRC Industrial Academy Co., Ltd., Beijing 100070;
3. School of Automobile and Transportation, Xihua University, Chengdu 610039

Received:2021-07-24 Revised:2021-12-24 Online:2022-05-20 Published:2022-07-07

摘要/Abstract

摘要： 能量管理策略与目标速度曲线对有轨电车的运行成本具有重要影响。为了降低燃料电池有轨电车的运行成本,提出三种能量管理策略与目标速度曲线同步优化方案:并行方案、顺序方案和协同方案。并行优化方案的两者优化过程相互独立,顺序优化方案的两者优化过程具有单向联系,而协同优化方案基于混合智能算法求解,实现了两者优化过程的双向联系。借鉴有轨电车全寿命周期成本的构成形式,成本函数由能量源设备初始投资、运行和更换维护等三类成本组成,其中更换维护成本考虑了能量源的寿命因素。基于武汉某有轨电车线路数据,分析三种同步优化方案的应用效果,并与单独优化方案进行对比。结果表明,协同优化方案可获得最佳列车运行成本和燃料电池效率。

关键词: 有轨电车, 燃料电池, 能量管理策略, 目标速度曲线, 协同优化

Abstract: Energy management strategy optimization and speed profile optimization have an important influence on tram operating costs. To reduce the operating cost of fuel cell tram, this paper proposes three simultaneous optimization schemes of energy management and speed profile: the parallel optimization, the sequential optimization, and the cooperative optimization. The two optimization processes of the parallel optimization scheme run independently, the sequential scheme have a one-way connection, while the cooperative scheme is based on a hybrid intelligent algorithm to achieve a two-way connection between the two optimization processes. With reference to the structure of the life cycle cost of the tram, the cost function consists of the initial investment, operation, and replacement maintenance costs of energy sources. The replacement maintenance cost takes into account the life factor of the energy source. Using data from a tram line in Wuhan, the application effects of all schemes were analyzed and compared with the single optimized schemes. The cooperative optimization scheme obtained the best train operating cost and fuel cell efficiency.

Key words: tram, fuel cell, energy management strategy, speed profile, cooperative optimization

中图分类号:

U482

张晗, 杨继斌, 张继业, 徐晓惠. 燃料电池有轨电车能量管理与速度曲线协同优化[J]. 机械工程学报, 2022, 58(10): 169-179.

ZHANG Han, YANG Jibin, ZHANG Jiye, XU Xiaohui. Cooperative Optimization for Fuel Cell Tram Energy Management and Speed Profile[J]. Journal of Mechanical Engineering, 2022, 58(10): 169-179.

参考文献

[1] KASIMALLA V K R, NAGA G S, VELISALA V. A review on energy allocation of fuel cell/battery/ultracapacitor for hybrid electric vehicles[J]. International Journal of Energy Research, 2018, 42(14):4263-4283.
[2] 高锋阳,张国恒,石岩,等.新型城轨电车混合动力系统能量管理策略[J].铁道学报, 2019, 41(4):48-54. GAO Fengyang, ZHANG Guoheng, SHI Yan, et al. Energy management strategy for new type urban rail vehicle hybrid power system[J]. Journal of the China Railway Society, 2019, 41(4):48-54.
[3] 杨杰,贾利民,卢少锋,等.电力牵引货运列车节能运行研究(一):目标速度曲线优化[J].铁道学报, 2016, 38(4):22-31. YANG Jie, JIA Limin, LU Shaofeng, et al. Energy-efficient operation of electric freight trains-part Ⅰ:Speed profile pptimization[J]. Journal of the China Railway Society, 2016, 38(4):22-31.
[4] 张晗,杨继斌,张继业,等.燃料电池有轨电车能量管理Pareto多目标优化[J].自动化学报, 2019, 45(12):2378-2392. ZHANG Han, YANG Jibin, ZHANG Jiye, et al. Pareto-based multi-objective optimization of energy management for fuel cell tramway[J]. Acta Automatica Sinica, 2019, 45(12):2378-2392.
[5] 宁滨,莫志松,李开成.高速铁路信号系统智能技术应用及发展[J].铁道学报, 2019, 41(3):1-9. NING Bin, MO Zhisong, LI Kaicheng. Application and development of intelligent technologies for high-speed railway signaling system[J]. Journal of the China Railway Society, 2019, 41(3):1-9.
[6] 赵秀春,郭戈.混合动力电动汽车能量管理策略研究综述[J].自动化学报, 2016, 42(3):321-334. ZHAO Xiuchun, GUO Ge. Survey on energy management strategies for hybrid electric vehicles[J]. Acta Automatica Sinica, 2016, 42(3):321-334.
[7] 陈维荣,燕雨,李奇.基于状态机的燃料电池混合动力系统控制策略[J].西南交通大学学报, 2019, 54(4):663-670. CHEN Weirong, YAN Yu, LI Qi. Control strategy based on state machine for fuel cell hybrid power system[J]. Journal of Southwest Jiaotong University, 2019, 54(4):663-670.
[8] LI Q, CHEN W R, LI Y K, et al. Energy management strategy for fuel cell/battery/ultracapacitor hybrid vehicle based on fuzzy logic[J]. International Journal of Electrical Power and Energy Systems, 2012, 43(1):514-525.
[9] 张国瑞,李奇,韩莹,等.基于运行模式和动态混合度的燃料电池混合动力有轨电车等效氢耗最小化能量管理方法研究[J].中国电机工程学报, 2018, 38(23):6905-6914. ZHANG Guorui, LI Qi, HAN Ying, et al. Study on equivalent consumption minimization strategy based on operation mode and DDOH for fuel cell hybrid tramway[J]. Proceedings of the CSEE, 2018, 38(23):6905-6914.
[10] AMIN, BAMBANG R T, ROHMAN A S, et al. Energy management of fuel cell/battery/supercapacitor hybrid power sources using model predictive control[J]. IEEE Transactions on Industrial Informatics, 2014, 10(4):1992-2002.
[11] 杨继斌,徐晓惠,张继业,等.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, et al. Multi-objective optimization of energy management strategy for fuel cell tram[J]. Journal of Mechanical Engineering, 2018, 54(22):153-159.
[12] 冯瑜,陈绍宽,冉昕晨,等.考虑再生制动能利用的城市轨道交通列车节能运行优化方法研究[J].铁道学报, 2018, 40(2):15-22. FENG Yu, CHEN Shaokuan, RAN Xinchen, et al. Energy saving operation of urban rail transit trains through the use of regenerative braking energy[J]. Journal of the China Railway Society, 2018, 40(2):15-22.
[13] 荀径,杨欣,宁滨,等.列车节能操纵优化求解方法综述[J].铁道学报, 2014, 36(4):14-20. XUN Jing, YANG Xin, NING Bin, et al. Survey on trajectory optimization for train operation[J]. Journal of the China Railway Society, 2014, 36(4):14-20.
[14] 李诚,王小敏.基于粒子群优化的ATO控制策略[J].铁道学报, 2017, 39(3):53-58. LI Cheng, WANG Xiaomin. An ATO control strategy based on particle swarm optimization[J]. Journal of the China Railway Society, 2017, 39(3):53-58.
[15] 高士根,董海荣,朱海楠.面向操纵优化的智能列车辅助驾驶系统[J].铁道学报, 2019, 41(11):88-94. GAO Shigen, DONG Hairong, ZHU Hainan. Intelligent driver advisory system for improving manual train driving performance[J]. Journal of the China Railway Society, 2019, 41(11):88-94.
[16] 杨继斌,宋鹏云,张继业,等.燃料电池混合动力列车建模与运行控制研究[J].铁道学报, 2017, 39(9):40-47. YANG Jibin, SONG Pengyun, ZHANG Jiye, et al. Research on modeling and operation control of fuel cell hybrid Power train[J]. Journal of the China Railway Society, 2017, 39(9):40-47.
[17] 陈彦秋.混合动力列车运行控制及能量管理策略研究[D].成都:西南交通大学, 2013. CHEN Yanqiu. Study on operation control and energy management strategy for hybrid electric train[D]. Chengdu:Southwest Jiaotong University, 2013.
[18] 张文斌.燃料电池有轨电车动力系统关键技术研究[D].北京:清华大学, 2017. ZHANG Wenbin. Research on key technologies of powertrain system for fuel cell tram[D]. Beijing:Tsinghua University, 2017.
[19] 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.
[20] CHEN H C, PEI P C, SONG M C. Lifetime prediction and the economic lifetime of proton exchange membrane fuel cells[J]. Applied Energy, 2015, 142:154-163.
[21] 麻存瑞.高速列车节能运行操纵策略优化方法研究[D].北京:北京交通大学, 2019. MA Cunrui. Optimization method of energy-saving operation strategy for high-speed trains[D]. Beijing:Beijing Jiaotong University, 2019.
[22] YANG X S. Firefly Algorithms for multimodal optimization[C]//International Symposium on Stochastic Algorithms. Berlin Heidelberg:Springer, 2009:169-178.
[23] 田梦楚,薄煜明,陈志敏,等.萤火虫算法智能优化粒子滤波[J].自动化学报, 2016, 42(1):89-97. TIAN Mengchu, BO Yuming, CHEN Zhimin, et al. Firefly algorithm intelligence optimized particle filter[J]. Acta Automatica Sinica, 2016, 42(1):89-97.
[24] ZHAO J, TANG J J, SHI A Y, et al. Improved density peaks clustering based on firefly algorithm[J]. International Journal of Bio-Inspired Computation, 2020, 15(1):24-42.
[25] 柳长源,任宇艳,毕晓君.基于改进萤火虫算法的区域交通信号配时优化[J].控制与决策, 2020, 35(12):2829-2834. LIU Changyuan, REN Yuan, BI Xiaojun. Timing optimization of regional traffic signals based on improved firefly algorithm[J]. Control and Decision, 2020, 35(12):2829-2834.
[26] 王云鹏,郭戈.城市交叉口车辆速度与交通信号协同优化控制[J].控制与决策, 2019, 34(11):2397-2406. WANG Yunpeng, GUO Ge. Joint optimization of vehicle speed and traffic signals at a signalized intersection[J]. Control and Decision, 2019, 34(11):2397-2406.
[27] FLETCHER T, THRING R, WATKINSON M. An energy management strategy to concurrently optimise fuel consumption&PEM fuel fell lifetime in a hybrid vehicle[J]. International Journal of Hydrogen Energy, 2016, 41(46):21503-21515.

燃料电池有轨电车能量管理与速度曲线协同优化

Cooperative Optimization for Fuel Cell Tram Energy Management and Speed Profile

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