Power Distribution Strategy for Electric Vehicle Hybrid Power System

Xia Chen, Xinru Wang, Jinying Li, Di Wang, Yang Gao
{"title":"Power Distribution Strategy for Electric Vehicle Hybrid Power System","authors":"Xia Chen, Xinru Wang, Jinying Li, Di Wang, Yang Gao","doi":"10.2991/ICMEIT-19.2019.116","DOIUrl":null,"url":null,"abstract":"Abstract. Aiming at the load power fluctuates greatly during the driving process of the electric vehicles, a large load current is required, it is difficult to meet the load demand by the lithium battery alone, so the super-capacitor is introduced. In order to give full play to advantages of both, and to reduce the transient high current fluctuation of lithium battery, a power allocation strategy based on adaptive frequency is proposed. The power supply current, super-capacitor and bus voltage are controlled with double closed-loop control, and the filter time constant is dynamically adjusted according to the state of charge and load requirements of the super-capacitor, the battery bears the low-frequency component of the load current, and the super-capacitor provides the residual component, therefore, the charge and discharge current of the battery can be reduced and reducing the large current fluctuation. The Matlab/Simulink the results show that the method fully utilizes the super-capacitor smooth load fluctuation, which effectively reduces the charge and discharge current of the lithium battery and reduces the fluctuation range, thus prolonging the service life.","PeriodicalId":223458,"journal":{"name":"Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/ICMEIT-19.2019.116","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

Abstract. Aiming at the load power fluctuates greatly during the driving process of the electric vehicles, a large load current is required, it is difficult to meet the load demand by the lithium battery alone, so the super-capacitor is introduced. In order to give full play to advantages of both, and to reduce the transient high current fluctuation of lithium battery, a power allocation strategy based on adaptive frequency is proposed. The power supply current, super-capacitor and bus voltage are controlled with double closed-loop control, and the filter time constant is dynamically adjusted according to the state of charge and load requirements of the super-capacitor, the battery bears the low-frequency component of the load current, and the super-capacitor provides the residual component, therefore, the charge and discharge current of the battery can be reduced and reducing the large current fluctuation. The Matlab/Simulink the results show that the method fully utilizes the super-capacitor smooth load fluctuation, which effectively reduces the charge and discharge current of the lithium battery and reduces the fluctuation range, thus prolonging the service life.
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
电动汽车混合动力系统配电策略
摘要针对电动汽车行驶过程中负载功率波动较大,需要较大的负载电流,单靠锂电池难以满足负载需求,因此引入了超级电容器。为了充分发挥两者的优势,减小锂电池瞬态大电流波动,提出了一种基于自适应频率的功率分配策略。采用双闭环控制对电源电流、超级电容和母线电压进行控制,并根据超级电容的充电状态和负载要求动态调整滤波时间常数,电池承担负载电流的低频分量,超级电容提供剩余分量,因此可以减小电池的充放电电流,减少大电流波动。Matlab/Simulink仿真结果表明,该方法充分利用了超级电容平稳负载波动,有效减小了锂电池的充放电电流,减小了波动范围,从而延长了使用寿命。
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
Feedback-Based Scheduling for Load-Balanced Crosspoint Buffered Crossbar Switches Research on Traffic Congestion Resolution Mechanism based on Genetic Algorithm and Multi-Agent Decentralized Location Privacy Protection Method of Offset Grid Real-Time Bidding by Proportional Control in Display Advertising Simulation Analysis of Friction and Wear of New TiAl based Alloy Joint Bearings
×
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