An Energy Management Strategy for Multistack Fuel Cell Hybrid Locomotives With Integrated Optimization of System Service Life

IF 8.3 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Transportation Electrification Pub Date : 2024-11-04 DOI:10.1109/TTE.2024.3491107
Qi Li;Haolan Tan;Tianhong Wang;Xiang Li;Weirong Chen
{"title":"An Energy Management Strategy for Multistack Fuel Cell Hybrid Locomotives With Integrated Optimization of System Service Life","authors":"Qi Li;Haolan Tan;Tianhong Wang;Xiang Li;Weirong Chen","doi":"10.1109/TTE.2024.3491107","DOIUrl":null,"url":null,"abstract":"To extend the lifespan of hybrid locomotive multistack fuel cell systems (MFCSs) and ensure the consistency of multiple fuel cells (FCs), this article proposes an energy management strategy with integrated optimization of system service life (IOSL-EMS). The strategy first unifies the hydrogen consumption (HC) of the FC and the equivalent hydrogen consumption of the battery into quadratic polynomial frameworks. It then considers the service life consistency of multiple FCs and the battery state of charge (SOC) constraint as additional hydrogen consumption, constructing the comprehensive equivalent hydrogen consumption (CEHC) of the system. By analyzing the incremental form of CEHC, the quadratic programming method is used to minimize the CEHC increment, effectively allocating load power between the FCs and the battery. To verify the effectiveness of IOSL-EMS, a hardware-in-the-loop platform was built, and tests were conducted. Results show that IOSL-EMS effectively controls the service life consistency of multiple FCs while ensuring system economy. Compared to the existing rule-based state machine control strategy and optimization-based equivalent consumption minimization strategy, IOSL-EMS significantly extends the service life of the MFCS and reduces the equivalent hydrogen consumption of the hybrid locomotive. In addition, the proposed strategy has similar control capabilities to dynamic programming (DP).","PeriodicalId":56269,"journal":{"name":"IEEE Transactions on Transportation Electrification","volume":"11 2","pages":"5771-5780"},"PeriodicalIF":8.3000,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Transportation Electrification","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10742380/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

To extend the lifespan of hybrid locomotive multistack fuel cell systems (MFCSs) and ensure the consistency of multiple fuel cells (FCs), this article proposes an energy management strategy with integrated optimization of system service life (IOSL-EMS). The strategy first unifies the hydrogen consumption (HC) of the FC and the equivalent hydrogen consumption of the battery into quadratic polynomial frameworks. It then considers the service life consistency of multiple FCs and the battery state of charge (SOC) constraint as additional hydrogen consumption, constructing the comprehensive equivalent hydrogen consumption (CEHC) of the system. By analyzing the incremental form of CEHC, the quadratic programming method is used to minimize the CEHC increment, effectively allocating load power between the FCs and the battery. To verify the effectiveness of IOSL-EMS, a hardware-in-the-loop platform was built, and tests were conducted. Results show that IOSL-EMS effectively controls the service life consistency of multiple FCs while ensuring system economy. Compared to the existing rule-based state machine control strategy and optimization-based equivalent consumption minimization strategy, IOSL-EMS significantly extends the service life of the MFCS and reduces the equivalent hydrogen consumption of the hybrid locomotive. In addition, the proposed strategy has similar control capabilities to dynamic programming (DP).
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
综合优化系统使用寿命的多堆栈燃料电池混合动力机车能源管理战略
为了延长混合动力机车多堆燃料电池系统的使用寿命,保证多堆燃料电池系统的一致性,提出了一种系统使用寿命集成优化的能量管理策略。该策略首先将FC的氢耗(HC)和电池的等效氢耗统一为二次多项式框架。然后考虑多个fc的使用寿命一致性和电池荷电状态(SOC)约束作为附加耗氢量,构建系统的综合等效耗氢量(CEHC)。通过对CEHC增量形式的分析,采用二次规划方法使CEHC增量最小,有效地在fc和蓄电池之间分配负载功率。为了验证isl - ems的有效性,搭建了硬件在环平台,并进行了测试。结果表明,该方法在保证系统经济性的同时,有效地控制了多个fc的寿命一致性。与现有的基于规则的状态机控制策略和基于优化的等效耗氢最小化策略相比,isl - ems显著延长了混合动力机车混合动力系统的使用寿命,降低了混合动力机车的等效耗氢。此外,所提出的策略具有与动态规划(DP)相似的控制能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
IEEE Transactions on Transportation Electrification
IEEE Transactions on Transportation Electrification Engineering-Electrical and Electronic Engineering
CiteScore
12.20
自引率
15.70%
发文量
449
期刊介绍: IEEE Transactions on Transportation Electrification is focused on components, sub-systems, systems, standards, and grid interface technologies related to power and energy conversion, propulsion, and actuation for all types of electrified vehicles including on-road, off-road, off-highway, and rail vehicles, airplanes, and ships.
期刊最新文献
Optimal Conduction Angles of Switched Reluctance Motors Over the Entire Operating Range Optimal control for hydrogen exhaust of fuel cell systems integrating deep reinforcement learning with risk protection Online Data-Gradient-Based Optimized Ultra-Local Model-Free Predictive Control for PMSM Drives Transfer Learning-Enhanced Multi-objective Predictive Control for Electric Vehicular Platoon Adaptive ADRC-Based Control of Bidirectional Interleaved DC-DC Converters for Hybrid Energy Storage System
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1