Article(id=1321491697041789005, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1321491612593664576, articleNumber=null, orderNo=null, doi=10.13234/j.issn.2095-2805.2026.1.280, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1683129600000, receivedDateStr=2023-05-04, revisedDate=1692547200000, revisedDateStr=2023-08-21, acceptedDate=1695571200000, acceptedDateStr=2023-09-25, onlineDate=1792997772703, onlineDateStr=2026-10-26, pubDate=1769702400000, pubDateStr=2026-01-30, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1792997772703, onlineIssueDateStr=2026-10-26, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1792997772703, creator=13701087609, updateTime=1792997772703, updator=13701087609, issue=Issue{id=1321491612593664576, tenantId=1146029695717560320, journalId=1146031654075715584, year='2026', volume='24', issue='1', pageStart='1', pageEnd='346', issueExtLink='null', onlineDate='null', pubDate='1769702400000', pubDateStr='2026-01-30', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1792997752568, creator='13701087609', updateTime=1792998003208, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1321492663950487647, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1321491612593664576, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1321492663950487648, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1321491612593664576, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=280, endPage=288, ext={EN=ArticleExt(id=1321491697327001679, articleId=1321491697041789005, tenantId=1146029695717560320, journalId=1146031654075715584, language=EN, title=Multi-threshold Energy Management Strategy for Trams with Capacity Configuration Optimization, columnId=1321491697230532686, journalTitle=Journal of Power Supply, columnName=Transportation Electrification, runingTitle=null, highlight=null, articleAbstract=

To improve the responsiveness, system efficiency and operation economy of a fuel cell/supercar-pacitor/lithium-ion battery hybrid energy storage system for trams, a multi-threshold energy management strategy for the hybrid energy storage system based on the operation states of trains is proposed. First, according to the actual operation states oftrains, different working conditions of tram driving are divided and multiple thresholds are set, so as to realize multi-media and multi-scenario power exchange and achieve real-time control of power allocation among energy sources of the energy storage system. At the same time, according to the physical characteristics of each energy storage medium, the supercapacitor is set to start as priority, thus reducing the number of cycles of lithium-ion batteries and extending the service life of the energy storage system. Second, the life cycle cost of the hybrid energy storage system is taken as an optimization objective, and the power of the energy storage system, energy demand and state-of-charge (SOC) of the lithium-ion battery and supercapacitor are used as constraints, so as to optimize the capacity configuration of the energy storage system and obtain the optimized capacity configuration parameters. Finally, the proposed strategy is compared with the fixed-threshold strategy and traditional equivalent consumption minimization strategy (ECMS). Results show that the proposed strategy is more reasonable in terms of power allocation of the hybrid energy storage system, and it can improve the system response speed. The SOC offset ranges of lithium-ion battery and supercapacitor are significantly improved. The hydrogen consumption is reduced by 1.47 kg and 0.81 kg compared with those under the fixed-threshold and ECMS strategies, respectively, indicating that the fuel economy is improved.

, authors=Fengyang GAO1, Zhishan GAO1, Yaxin QIANG1, Guopeng HAN2, authorsList=Fengyang GAO, Zhishan GAO, Yaxin QIANG, Guopeng HAN, authorCompany=null, correspAuthors=Zhishan GAO, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1321491697897427027, articleId=1321491697041789005, tenantId=1146029695717560320, journalId=1146031654075715584, language=CN, title=计及容量配置优化的有轨电车多阈值能量管理策略, columnId=1321491697419276368, journalTitle=电源学报, columnName=电气化交通, runingTitle=null, highlight=null, articleAbstract=

为提高燃料电池/超级电容/锂电池混合储能有轨电车系统响应能力、系统效率和运行经济性,提出基于列车运行状态的有轨电车混合储能系统多阈值能量管理策略。首先,根据列车实际运行状态划分有轨电车不同行驶工况,并设定多种阈值,实现多介质、多场景功率交换,实时控制储能系统各能量源之间的功率分配。同时根据各储能介质的物理特性,设置超级电容优先启动,减少锂电池循环次数,延长储能系统使用寿命。其次,以混合储能系统全寿命周期成本为优化目标,以储能系统功率、能量需求及锂电池和超级电容荷电状态SOC(state-of-charge)为约束条件,对储能系统容量配置进行寻优,得到优化后容量配置参数。最后,将所提策略与固定阈值策略、传统等效氢耗最小化策略ECMS(equivalent consumption minimization strategy)进行对比分析。结果表明,所提策略在混合储能系统功率分配方面更为合理,能够提高系统响应速度;锂电池和超级电容SOC偏移范围有显著改善;所提策略相较于固定阈值和ECMS策略氢气消耗分别降低了1.47 kg和0.81 kg,燃料经济性得以提高。

, authors=高锋阳中国电源学会高级会员1, 高智山1, 强雅昕1, 韩国鹏2, authorsList=高锋阳中国电源学会高级会员, 高智山, 强雅昕, 韩国鹏, authorCompany=null, correspAuthors=高智山, authorNote=

高锋阳(1970— ),男,中国电源学会高级会员,硕士,教授级高工。研究方向:混合储能系统能量管理及大功率电源。E-mail:。

强雅昕(1999— ),女,硕士研究生。研究方向:混合储能系统能量管理。E-mail:。

韩国鹏(1988— ),男,博士,副高级工程师。研究方向:混合储能系统能量管理。E-mail:。

, correspAuthorsNote=
高智山(1999— ),男,通信作者,硕士研究生。研究方向:混合储能系统能量管理。E-mail:。
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高锋阳(1970— ),男,中国电源学会高级会员,硕士,教授级高工。研究方向:混合储能系统能量管理及大功率电源。E-mail:。

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高锋阳(1970— ),男,中国电源学会高级会员,硕士,教授级高工。研究方向:混合储能系统能量管理及大功率电源。E-mail:。

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强雅昕(1999— ),女,硕士研究生。研究方向:混合储能系统能量管理。E-mail:。

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强雅昕(1999— ),女,硕士研究生。研究方向:混合储能系统能量管理。E-mail:。

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韩国鹏(1988— ),男,博士,副高级工程师。研究方向:混合储能系统能量管理。E-mail:。

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韩国鹏(1988— ),男,博士,副高级工程师。研究方向:混合储能系统能量管理。E-mail:。

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计及容量配置优化的有轨电车多阈值能量管理策略
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高锋阳中国电源学会高级会员 1 , 高智山 1 , 强雅昕 1 , 韩国鹏 2
电源学报 | 电气化交通 2026,24(1): 280-288
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电源学报 |电气化交通 2026 , 24 (1) : 280 -288
计及容量配置优化的有轨电车多阈值能量管理策略
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高锋阳(1970— ),男,中国电源学会高级会员,硕士,教授级高工。研究方向:混合储能系统能量管理及大功率电源。E-mail:。

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强雅昕(1999— ),女,硕士研究生。研究方向:混合储能系统能量管理。E-mail:。

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强雅昕(1999— ),女,硕士研究生。研究方向:混合储能系统能量管理。E-mail:。

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韩国鹏(1988— ),男,博士,副高级工程师。研究方向:混合储能系统能量管理。E-mail:。

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韩国鹏(1988— ),男,博士,副高级工程师。研究方向:混合储能系统能量管理。E-mail:。

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高锋阳中国电源学会高级会员1 , 高智山1 , 强雅昕1 , 韩国鹏2
作者信息
  • 1.兰州交通大学自动化与电气工程学院,兰州 730070
  • 2.中车唐山机车车辆有限公司,唐山 063035
通讯作者:
高智山(1999— ),男,通信作者,硕士研究生。研究方向:混合储能系统能量管理。E-mail:。
作者简介:

高锋阳(1970— ),男,中国电源学会高级会员,硕士,教授级高工。研究方向:混合储能系统能量管理及大功率电源。E-mail:。

强雅昕(1999— ),女,硕士研究生。研究方向:混合储能系统能量管理。E-mail:。

韩国鹏(1988— ),男,博士,副高级工程师。研究方向:混合储能系统能量管理。E-mail:。

Multi-threshold Energy Management Strategy for Trams with Capacity Configuration Optimization
Fengyang GAO Senior Member, CPSS1 , Zhishan GAO1 , Yaxin QIANG1 , Guopeng HAN2
Affiliations
  • 1.School of Automation and Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
  • 2.CRRC Tangshan Co., Ltd., Tangshan 063035, China
出版时间: 2026-01-30 doi: 10.13234/j.issn.2095-2805.2026.1.280
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为提高燃料电池/超级电容/锂电池混合储能有轨电车系统响应能力、系统效率和运行经济性,提出基于列车运行状态的有轨电车混合储能系统多阈值能量管理策略。首先,根据列车实际运行状态划分有轨电车不同行驶工况,并设定多种阈值,实现多介质、多场景功率交换,实时控制储能系统各能量源之间的功率分配。同时根据各储能介质的物理特性,设置超级电容优先启动,减少锂电池循环次数,延长储能系统使用寿命。其次,以混合储能系统全寿命周期成本为优化目标,以储能系统功率、能量需求及锂电池和超级电容荷电状态SOC(state-of-charge)为约束条件,对储能系统容量配置进行寻优,得到优化后容量配置参数。最后,将所提策略与固定阈值策略、传统等效氢耗最小化策略ECMS(equivalent consumption minimization strategy)进行对比分析。结果表明,所提策略在混合储能系统功率分配方面更为合理,能够提高系统响应速度;锂电池和超级电容SOC偏移范围有显著改善;所提策略相较于固定阈值和ECMS策略氢气消耗分别降低了1.47 kg和0.81 kg,燃料经济性得以提高。

混合储能系统  /  有轨电车  /  容量配置  /  能量管理  /  全寿命周期

To improve the responsiveness, system efficiency and operation economy of a fuel cell/supercar-pacitor/lithium-ion battery hybrid energy storage system for trams, a multi-threshold energy management strategy for the hybrid energy storage system based on the operation states of trains is proposed. First, according to the actual operation states oftrains, different working conditions of tram driving are divided and multiple thresholds are set, so as to realize multi-media and multi-scenario power exchange and achieve real-time control of power allocation among energy sources of the energy storage system. At the same time, according to the physical characteristics of each energy storage medium, the supercapacitor is set to start as priority, thus reducing the number of cycles of lithium-ion batteries and extending the service life of the energy storage system. Second, the life cycle cost of the hybrid energy storage system is taken as an optimization objective, and the power of the energy storage system, energy demand and state-of-charge (SOC) of the lithium-ion battery and supercapacitor are used as constraints, so as to optimize the capacity configuration of the energy storage system and obtain the optimized capacity configuration parameters. Finally, the proposed strategy is compared with the fixed-threshold strategy and traditional equivalent consumption minimization strategy (ECMS). Results show that the proposed strategy is more reasonable in terms of power allocation of the hybrid energy storage system, and it can improve the system response speed. The SOC offset ranges of lithium-ion battery and supercapacitor are significantly improved. The hydrogen consumption is reduced by 1.47 kg and 0.81 kg compared with those under the fixed-threshold and ECMS strategies, respectively, indicating that the fuel economy is improved.

Hybrid energy storage system  /  tram  /  capacity configuration  /  energy management  /  life cycle
高锋阳中国电源学会高级会员, 高智山, 强雅昕, 韩国鹏. 计及容量配置优化的有轨电车多阈值能量管理策略. 电源学报, 2026 , 24 (1) : 280 -288 . DOI: 10.13234/j.issn.2095-2805.2026.1.280
Fengyang GAO, Zhishan GAO, Yaxin QIANG, Guopeng HAN. Multi-threshold Energy Management Strategy for Trams with Capacity Configuration Optimization[J]. Journal of Power Supply, 2026 , 24 (1) : 280 -288 . DOI: 10.13234/j.issn.2095-2805.2026.1.280
  • 中车“十四五”科技重大专项计划资助项目(2021CXZ021)
  • 甘肃省教育厅:优秀研究生“创新之星”资助项目(2023CXZX-616)
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2026年第24卷第1期
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doi: 10.13234/j.issn.2095-2805.2026.1.280
  • 接收时间:2023-05-04
  • 首发时间:2026-10-26
  • 出版时间:2026-01-30
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出版历史
  • 收稿日期:2023-05-04
  • 修回日期:2023-08-21
  • 录用日期:2023-09-25
基金
Key Project of the “14th Five-Year Plan” of the Major Special Projects of Science and Technology of CRRC(2021CXZ021)
中车“十四五”科技重大专项计划资助项目(2021CXZ021)
Outstanding Graduate Students “Innovation Star” of Department of Education of Gansu Province(2023CXZX-616)
甘肃省教育厅:优秀研究生“创新之星”资助项目(2023CXZX-616)
作者信息
    1.兰州交通大学自动化与电气工程学院,兰州 730070
    2.中车唐山机车车辆有限公司,唐山 063035

通讯作者:

高智山(1999— ),男,通信作者,硕士研究生。研究方向:混合储能系统能量管理。E-mail:。
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