Flexible Fuel Cell System Design for Electric Bus: Durability Enhancement and Fuel Economy Improvement

IF 8.3 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Transportation Electrification Pub Date : 2024-11-18 DOI:10.1109/TTE.2024.3500881
Weichao Zhuang;Junyan Niu;Bingbing Li;Quan Zhou;Ziyou Song;Guodong Yin
{"title":"Flexible Fuel Cell System Design for Electric Bus: Durability Enhancement and Fuel Economy Improvement","authors":"Weichao Zhuang;Junyan Niu;Bingbing Li;Quan Zhou;Ziyou Song;Guodong Yin","doi":"10.1109/TTE.2024.3500881","DOIUrl":null,"url":null,"abstract":"This article proposes an optimal design approach for the multiple fuel cell stack system (MFCS) used in electric vehicles. The MFCS has the flexibility to determine the operating fuel cell stacks depending on the power requirement, resulting in improvements in durability and fuel economy. To explore the potential of the MFCS, we first model the dynamics of the fuel cell electric vehicle (FCEV). Then, a two-stage optimization framework incorporating dynamic programming (DP) with the genetic algorithm (GA) is proposed. DP is employed to generate the global energy management strategy (EMS) for each candidate solution, while GA is utilized to ensure the even usage of fuel cell stacks. By employing the two-stage optimization framework, the optimal stack numbers, and component sizes for a practical application are obtained with the minimum hourly cost. The results indicate that the MFCS achieves its optimal performance with a stack number of 3, leading to a remarkable increase in its lifetime by 16.60% compared to the single fuel cell system. In addition, the component sizing yields even greater durability, showcasing a remarkable 34.97% improvement in a lifetime when compared to the original design.","PeriodicalId":56269,"journal":{"name":"IEEE Transactions on Transportation Electrification","volume":"11 2","pages":"6188-6198"},"PeriodicalIF":8.3000,"publicationDate":"2024-11-18","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/10755987/","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

This article proposes an optimal design approach for the multiple fuel cell stack system (MFCS) used in electric vehicles. The MFCS has the flexibility to determine the operating fuel cell stacks depending on the power requirement, resulting in improvements in durability and fuel economy. To explore the potential of the MFCS, we first model the dynamics of the fuel cell electric vehicle (FCEV). Then, a two-stage optimization framework incorporating dynamic programming (DP) with the genetic algorithm (GA) is proposed. DP is employed to generate the global energy management strategy (EMS) for each candidate solution, while GA is utilized to ensure the even usage of fuel cell stacks. By employing the two-stage optimization framework, the optimal stack numbers, and component sizes for a practical application are obtained with the minimum hourly cost. The results indicate that the MFCS achieves its optimal performance with a stack number of 3, leading to a remarkable increase in its lifetime by 16.60% compared to the single fuel cell system. In addition, the component sizing yields even greater durability, showcasing a remarkable 34.97% improvement in a lifetime when compared to the original design.
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
电动巴士的柔性燃料电池系统设计:增强耐久性和提高燃油经济性
本文提出了一种用于电动汽车的多燃料电池堆系统的优化设计方法。MFCS可以根据功率需求灵活地确定运行的燃料电池堆,从而提高耐用性和燃油经济性。为了探索MFCS的潜力,我们首先建立了燃料电池电动汽车(FCEV)的动力学模型。然后,提出了一种结合动态规划和遗传算法的两阶段优化框架。采用差分算法生成候选方案的全局能量管理策略(EMS),采用遗传算法保证燃料电池堆的均匀使用。通过采用两阶段优化框架,以最小的小时成本获得了实际应用的最优堆栈数和组件尺寸。结果表明,当堆数为3时,MFCS性能最优,寿命较单燃料电池系统显著延长16.60%。此外,组件尺寸产生了更大的耐用性,与原始设计相比,其使用寿命提高了34.97%。
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
A short-term EV charging load forecast method based on Kolmogorov–Arnold Spatiotemporal Attention Recurrent Network A Generalized and Robust Online SOH Estimation Framework for Lithium-ion Batteries under Dynamic Conditions A Non-Ecap Wide Range Bidirectional OBC With Multi-function Circuit Decoupled Measurement Method of Windage and Bearing Losses in High-Speed Electric Machines for Heavy-Duty Automotive Applications Online Fault Severity Estimation of Interturn Short-Circuits in PMSMs based on EKF
×
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