[1]燕 雨,杨锐琼,卜庆元,等.轨道交通车辆的多元氢动力系统参数匹配与能量管理[J].郑州大学学报(工学版),2027,48(XX):1-7.[doi:10. 13705 / j. issn. 1671-6833. 2026. 06. 002]
　YAN Yu,YANG Ruiqiong,BU Qingyuan,et al.Parameter matching and energy management of multi hydrogen powersystem for rail transit vehicles[J].Journal of Zhengzhou University (Engineering Science),2027,48(XX):1-7.[doi:10. 13705 / j. issn. 1671-6833. 2026. 06. 002]
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轨道交通车辆的多元氢动力系统参数匹配与能量管理()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
48
期数:
2027年XX
页码:
1-7
栏目:
出版日期:
2027-12-10

文章信息/Info

Title:
Parameter matching and energy management of multi hydrogen powersystem for rail transit vehicles
作者:
燕 雨1,2,杨锐琼1,卜庆元3,张诗蔚3,徐 坤1,孙柏刚3
1.郑州大学 电气与信息工程学院,河南 郑州450001;2.汽车测控与安全四川省重点实验室,四川 成都610039;3.北京理工大学 机械与车辆学院,北京100081
Author(s):
YAN Yu1,2, YANG Ruiqiong1, BU Qingyuan3, ZHANG Shiwei3, XU Kun1, SUN Baigang3
1. School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China; 2. Key Laboratory of Automo-tiveMeasurement, Control and Safety in Sichuan Province, Chengdu 610039, China; 3. School of Mechanical and Vehicle Engineer-ing,Beijing Institute of Technology, Beijing 100081, China
关键词:
氢内燃机; 燃料电池; 多目标优化; 参数匹配; 能量管理
Keywords:
hydrogen internal-combustion engine;  fuel cell;  multi objective optimization;  parameter matching;  energy management
分类号:
TP391
DOI:
10. 13705 / j. issn. 1671-6833. 2026. 06. 002
文献标志码:
A
摘要:
本文面向大功率轨道交通机车,以“氢内燃机+燃料电池+超级电容” 构成的多元氢动力系统为研究对象,解决参数匹配与能量管理两大核心问题。 在参数匹配方面,本文基于带有精英策略的非支配排序遗传算法,提出了一种计及质量、体积和周期成本的配置方法,使得动力系统在多个目标层面实现综合最优,参数配置结果为氢内燃机和燃料电池的额定功率分别为 134 kW 和 120 kW,超级电容模块为 12 串 6 并,额定容量为 82. 5 F;在能量管理方面,本文在传统等效氢耗算法的基础上,提出了一种解析解融合的计算方式,使其能够应用于多元氢动力系统,实现多元系统之间功率的实时合理分配。 最后,本文基于 RT-LAB 半实物仿真平台,对上述匹配结果及能量管理方法进行了验证,所配置的 134 kW 的氢内燃机、120 kW 的燃料电池、82. 5 F 的超级电容均各自工作在自身额定范围内,且在配置结果基础上采用解析解融合的能量管理方法,能够实时的合理分配各动力源的输出功率,充分说明本文所提方法的有效性。
Abstract:
This article focused on high-power rail transit locomotives and took the multi-dimensional hydrogen pow-ersystem composed of " hydrogen internal combustion engine+fuel cell+supercapacitor" as the research object tosolve the two core problems of parameter matching and energy management. In terms of parameter matching, thispaper proposed a configuration method that took into account mass, volume, and cycle costs based on a non domi-natedsorting genetic algorithm with an elite strategy, enabling the power system to achieve comprehensive optimiza-tionat multiple target levels. The parameter configuration results showed that the rated power of the hydrogen inter-nalcombustion engine and fuel battery were 134 kW and 120 kW, respectively, and the supercapacitor module was12 series and 6 parallel, with a rated capacity of 82. 5 F. In terms of energy management, this paper proposed ananalytical solution fusion calculation method based on the traditional equivalent hydrogen consumption algorithm,which could be applied to multiple hydrogen power systems to achieve real-time and reasonable power allocation be-tweenmultiple systems. Finally, based on the RT-LAB semi physical simulation platform, this article verified thematching results and energy management methods mentioned above. The 134 kW hydrogen internal combustion en-gine,120 kW fuel cell, and 82. 5 F supercapacitor all operate within their rated ranges, and an analytical solutionfusion energy management method was adopted on the basis of the configuration results, which could reasonably al-locatethe output power of each power source in real time, fully demonstrated the effectiveness of the method pro-posedin this article.

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备注/Memo

备注/Memo:
收稿日期:2026-03-12;修订日期:2026-04-23基金项目:国家自然科学基金资助项目(62403435) ;河南省高等学校重点科研项目(25A413007) ;汽车测控与安全四川省重点实验室开放课题资助项目( QCCK2024-0010)作者简介:燕雨(1994— ) ,男 ,河南郑 州人,郑州大学副教授,博士,主要从事燃料电池混合动力系统参数匹配与能量管理方法研究,E-mail: yuyan@ zzu. edu. cn。通信作者:卜庆元(1992— ) ,男,北京人,北京理工大学博士研究生,主要从事氢动力系统的集成与优化控制研究,E-mail: 3220205065@ bit. edu. cn。
更新日期/Last Update: 2026-06-12