Fuzzy Based Predictive Control for Optimal Energy Management in Hybrid Urban Buses

Brishith Falcon-Mendoza, V. Herrera-Perez, J. A. López-Ibarra, H. Gaztañaga, Haritza Camblong-Ruiz
{"title":"Fuzzy Based Predictive Control for Optimal Energy Management in Hybrid Urban Buses","authors":"Brishith Falcon-Mendoza, V. Herrera-Perez, J. A. López-Ibarra, H. Gaztañaga, Haritza Camblong-Ruiz","doi":"10.1109/VPPC49601.2020.9330967","DOIUrl":null,"url":null,"abstract":"In this article, a new fuzzy-based predictive control strategy for intelligent power management of a serial hybrid electric bus with a hybrid storage system that combines batteries and supercapacitors is proposed. The main contributions in this document are a fuzzy definition based predictive control for vehicle power management, along with a multi-objective optimization approach to define the size and operation of the ESS. To obtain the best performance in the genset, a methodology is proposed to optimize the operation point selection based on a speed-torque search in the electric generator and combustion engine maps. Based on simulation results, a reduction of 18.5% of the total cost was compared to a traditional rule-based control.","PeriodicalId":6851,"journal":{"name":"2020 IEEE Vehicle Power and Propulsion Conference (VPPC)","volume":"7 1","pages":"1-5"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE Vehicle Power and Propulsion Conference (VPPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VPPC49601.2020.9330967","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In this article, a new fuzzy-based predictive control strategy for intelligent power management of a serial hybrid electric bus with a hybrid storage system that combines batteries and supercapacitors is proposed. The main contributions in this document are a fuzzy definition based predictive control for vehicle power management, along with a multi-objective optimization approach to define the size and operation of the ESS. To obtain the best performance in the genset, a methodology is proposed to optimize the operation point selection based on a speed-torque search in the electric generator and combustion engine maps. Based on simulation results, a reduction of 18.5% of the total cost was compared to a traditional rule-based control.
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
基于模糊预测控制的城市混合动力客车最优能量管理
本文提出了一种新的基于模糊预测控制策略的串联混合动力客车智能电源管理,该混合动力客车具有电池和超级电容器相结合的混合存储系统。本文的主要贡献是基于模糊定义的车辆动力管理预测控制,以及多目标优化方法来定义ESS的大小和运行。为了在发电机组中获得最佳性能,提出了一种基于发电机和内燃机图中转速-转矩搜索的优化工作点选择方法。根据仿真结果,与传统的基于规则的控制相比,总成本降低了18.5%。
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
自引率
0.00%
发文量
0
期刊最新文献
Welcome from the Chair of the VPPC Steering Committee Energy Management Strategy for a Fuel cell/Lead acid battery/ Ultracapacitor hybrid electric vehicle Sizing of renewable energy and storage resources in railway substations according to load shaving level Estimating the location of plugs in molten-salt pipes Robust Design of Combined Control Strategy for Electric Vehicle with In-wheel Propulsion
×
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:481959085
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