Power management and economic estimation of fuel cell hybrid vehicle using fuzzy logic

Xiangjun Li, Jianqiu Li, Liangfei Xu, M. Ouyang
{"title":"Power management and economic estimation of fuel cell hybrid vehicle using fuzzy logic","authors":"Xiangjun Li, Jianqiu Li, Liangfei Xu, M. Ouyang","doi":"10.1109/VPPC.2009.5289696","DOIUrl":null,"url":null,"abstract":"Fuel cell hybrid vehicles (FCHVs) have been attracting a lot of attention as well as electric vehicles (EVs) and various hybrid electric vehicles (HEVs) for environmental issues and energy crises. One of the advantages of using foregoing vehicles is saving energy during electric motor's braking regeneration. In this paper, a fuzzy logic based power management strategy considering a regenerative braking control of the electric motor is presented for proton exchange membrane (PEM) fuel cell and Nickel-Metal Hydride (Ni-MH) battery hybrid vehicular power system. The fuel economic of the FCHV is estimated by analyzing the fuel consumption of hydrogen usages. Simulation results show that the fuel economic is improved by using the proposed fuzzy logic controller for regenerative braking management.","PeriodicalId":191216,"journal":{"name":"2009 IEEE Vehicle Power and Propulsion Conference","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE Vehicle Power and Propulsion Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VPPC.2009.5289696","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 23

Abstract

Fuel cell hybrid vehicles (FCHVs) have been attracting a lot of attention as well as electric vehicles (EVs) and various hybrid electric vehicles (HEVs) for environmental issues and energy crises. One of the advantages of using foregoing vehicles is saving energy during electric motor's braking regeneration. In this paper, a fuzzy logic based power management strategy considering a regenerative braking control of the electric motor is presented for proton exchange membrane (PEM) fuel cell and Nickel-Metal Hydride (Ni-MH) battery hybrid vehicular power system. The fuel economic of the FCHV is estimated by analyzing the fuel consumption of hydrogen usages. Simulation results show that the fuel economic is improved by using the proposed fuzzy logic controller for regenerative braking management.
基于模糊逻辑的燃料电池混合动力汽车动力管理与经济性评估
燃料电池混合动力汽车(fchv)与电动汽车(ev)和各种混合动力汽车(hev)一样,因环境问题和能源危机而备受关注。采用前述车辆的优点之一是节省了电动机制动再生过程中的能量。针对质子交换膜(PEM)燃料电池和镍氢电池(Ni-MH)混合动力汽车动力系统,提出了一种考虑电机再生制动控制的基于模糊逻辑的动力管理策略。通过对氢燃料消耗的分析,对混合动力汽车的燃料经济性进行了评价。仿真结果表明,采用所提出的模糊控制器进行再生制动管理,提高了车辆的燃油经济性。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信