Article(id=1322531711003504944, tenantId=1146029695717560320, journalId=1146031654075715584, issueId=1322531607177707705, articleNumber=null, orderNo=null, doi=10.13234/j.issn.2095-2805.2026.5.229, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1698163200000, receivedDateStr=2023-10-25, revisedDate=1704211200000, revisedDateStr=2024-01-03, acceptedDate=1706371200000, acceptedDateStr=2024-01-28, onlineDate=1793245731354, onlineDateStr=2026-10-29, pubDate=1780070400000, pubDateStr=2026-05-30, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793245731354, onlineIssueDateStr=2026-10-29, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793245731354, creator=13701087609, updateTime=1793245731354, updator=13701087609, issue=Issue{id=1322531607177707705, tenantId=1146029695717560320, journalId=1146031654075715584, year='2026', volume='24', issue='5', pageStart='1', pageEnd='348', issueExtLink='null', onlineDate='null', pubDate='1780070400000', pubDateStr='2026-05-30', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793245706600, creator='13701087609', updateTime=1793245706600, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext=null, issueFiles=null, downloadFileDto=null}, startPage=229, endPage=238, ext={EN=ArticleExt(id=1322531712811249969, articleId=1322531711003504944, tenantId=1146029695717560320, journalId=1146031654075715584, language=EN, title=Fuzzy Control Based Optimized Wavelet Decomposition for FCHEV Energy Management Strategy, columnId=1321491697230532686, journalTitle=Journal of Power Supply, columnName=Transportation Electrification, runingTitle=null, highlight=null, articleAbstract=

In order to increase the energy efficiency of fuel-cell hybrid electric vehicle (FCHEV) and improve the operating environment of fuel cells, an energy management strategy is proposed. Firstly, wavelet transform is used to decompose the vehicle bus power, and the decomposed low-frequency demand power and the state of charge of the power battery are used as inputs to the fuzzy controller. Then, the output power of the fuel cell is calculated via the energy management strategy. Furthermore, genetic algorithm is used to improve the fuzzy rules and improve the control performance. Finally, a vehicle energy management strategy model is built, and a vehicle dynamics model using Simulink and Cruise respectively, and conduct joint simulation under CLTC-P operating conditions. Compared with the power following based control strategy, the proposed strategy reduces the equivalent hydrogen consumption of fuel cells by 14%. While the vehicle is more energy-efficient, it effectively reduces the start stop frequency and load change rate of fuel cells, thereby extending their service life.

, authors=Ruihao YAN, Liang XU, authorsList=Ruihao YAN, Liang XU, authorCompany=null, correspAuthors=Liang XU, 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=1322531713348120884, articleId=1322531711003504944, tenantId=1146029695717560320, journalId=1146031654075715584, language=CN, title=基于模糊控制优化小波分解的FCHEV能量管理策略, columnId=1321491697419276368, journalTitle=电源学报, columnName=电气化交通, runingTitle=null, highlight=null, articleAbstract=

为了提高燃料电池混合动力汽车FCHEV(fuel-cell hybrid electric vehicle)的能耗经济性,改善燃料电池的运行环境,提出了首先使用小波变换分解车辆总线功率;然后将分解后的低频需求功率、动力电池的荷电状态作为模糊控制器的输入;随后计算燃料电池功率的能量管理策略,并使用遗传算法进行模糊规则的改进以提高控制效果;最后分别使用Simulink和Cruise搭建整车能量管理策略模型以及整车动力学模型,并在CLTC-P工况下进行联合仿真。所提出策略与基于功率跟随的控制策略相比,燃料电池的等效耗氢量下降14%;车辆在更节能的同时,有效减少了燃料电池的启停次数与变载速率,延长了燃料电池的使用寿命。

, authors=严锐浩中国电源学会学生会员, 许亮, authorsList=严锐浩中国电源学会学生会员, 许亮, authorCompany=null, correspAuthors=许亮, authorNote=

严锐浩(1999— ),男,中国电源学会学生会员,硕士研究生。研究方向:燃料电池汽车能量管理策略。Email:。

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许亮(1980— ),男,通信作者,博士,教授。研究方向:储能系统能量管理策略。Email:。
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严锐浩(1999— ),男,中国电源学会学生会员,硕士研究生。研究方向:燃料电池汽车能量管理策略。Email:。

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严锐浩(1999— ),男,中国电源学会学生会员,硕士研究生。研究方向:燃料电池汽车能量管理策略。Email:。

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基于模糊控制优化小波分解的FCHEV能量管理策略
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严锐浩中国电源学会学生会员 , 许亮
电源学报 | 电气化交通 2026,24(5): 229-238
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电源学报 |电气化交通 2026 , 24 (5) : 229 -238
基于模糊控制优化小波分解的FCHEV能量管理策略
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严锐浩(1999— ),男,中国电源学会学生会员,硕士研究生。研究方向:燃料电池汽车能量管理策略。Email:。

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严锐浩(1999— ),男,中国电源学会学生会员,硕士研究生。研究方向:燃料电池汽车能量管理策略。Email:。

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严锐浩中国电源学会学生会员 , 许亮
作者信息
  • 天津市新能源电力变换传输与智能控制重点实验室(天津理工大学电气工程与自动化学院),天津 300384
通讯作者:
许亮(1980— ),男,通信作者,博士,教授。研究方向:储能系统能量管理策略。Email:。
作者简介:

严锐浩(1999— ),男,中国电源学会学生会员,硕士研究生。研究方向:燃料电池汽车能量管理策略。Email:。

Fuzzy Control Based Optimized Wavelet Decomposition for FCHEV Energy Management Strategy
Ruihao YAN Student Member, CPSS , Liang XU
Affiliations
  • Tianjin Key Laboratory of New Energy Power Conversion, Transmission and Intelligent Control, School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin 300384, China
出版时间: 2026-05-30 doi: 10.13234/j.issn.2095-2805.2026.5.229
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为了提高燃料电池混合动力汽车FCHEV(fuel-cell hybrid electric vehicle)的能耗经济性,改善燃料电池的运行环境,提出了首先使用小波变换分解车辆总线功率;然后将分解后的低频需求功率、动力电池的荷电状态作为模糊控制器的输入;随后计算燃料电池功率的能量管理策略,并使用遗传算法进行模糊规则的改进以提高控制效果;最后分别使用Simulink和Cruise搭建整车能量管理策略模型以及整车动力学模型,并在CLTC-P工况下进行联合仿真。所提出策略与基于功率跟随的控制策略相比,燃料电池的等效耗氢量下降14%;车辆在更节能的同时,有效减少了燃料电池的启停次数与变载速率,延长了燃料电池的使用寿命。

燃料电池  /  锂离子电池  /  小波分析  /  模糊控制  /  能量管理策略

In order to increase the energy efficiency of fuel-cell hybrid electric vehicle (FCHEV) and improve the operating environment of fuel cells, an energy management strategy is proposed. Firstly, wavelet transform is used to decompose the vehicle bus power, and the decomposed low-frequency demand power and the state of charge of the power battery are used as inputs to the fuzzy controller. Then, the output power of the fuel cell is calculated via the energy management strategy. Furthermore, genetic algorithm is used to improve the fuzzy rules and improve the control performance. Finally, a vehicle energy management strategy model is built, and a vehicle dynamics model using Simulink and Cruise respectively, and conduct joint simulation under CLTC-P operating conditions. Compared with the power following based control strategy, the proposed strategy reduces the equivalent hydrogen consumption of fuel cells by 14%. While the vehicle is more energy-efficient, it effectively reduces the start stop frequency and load change rate of fuel cells, thereby extending their service life.

Fuel-cell  /  lithium-ion batteries  /  wavelet analysis  /  fuzzy control  /  energy management strategy
严锐浩中国电源学会学生会员, 许亮. 基于模糊控制优化小波分解的FCHEV能量管理策略. 电源学报, 2026 , 24 (5) : 229 -238 . DOI: 10.13234/j.issn.2095-2805.2026.5.229
Ruihao YAN, Liang XU. Fuzzy Control Based Optimized Wavelet Decomposition for FCHEV Energy Management Strategy[J]. Journal of Power Supply, 2026 , 24 (5) : 229 -238 . DOI: 10.13234/j.issn.2095-2805.2026.5.229
  • 国家自然科学基金资助项目(61975151; 61308120)
  • 天津市科技重大专项与工程,互联网+新能源跨界融合创新示范工程项目资助项目(ZXHLGX00040)
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2026年第24卷第5期
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doi: 10.13234/j.issn.2095-2805.2026.5.229
  • 接收时间:2023-10-25
  • 首发时间:2026-10-29
  • 出版时间:2026-05-30
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  • 收稿日期:2023-10-25
  • 修回日期:2024-01-03
  • 录用日期:2024-01-28
基金
National Natural Science Foundation of China(61975151; 61308120)
国家自然科学基金资助项目(61975151; 61308120)
Project Supported by Major Scientific and Technological Special Projects and Projects in Tianjin, Internet and New Energy Cross-Border Fusion Innovation Demonstration Project(ZXHLGX00040)
天津市科技重大专项与工程,互联网+新能源跨界融合创新示范工程项目资助项目(ZXHLGX00040)
作者信息
    天津市新能源电力变换传输与智能控制重点实验室(天津理工大学电气工程与自动化学院),天津 300384

通讯作者:

许亮(1980— ),男,通信作者,博士,教授。研究方向:储能系统能量管理策略。Email:。
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