QQ客服 官方微博 反馈留言

	Fuzzy Logic Control in Regenerative Braking System for Electric Vehicle
	Hao Zhang; Guoqing Xu; Weimin Li; Meilan Zhou
	2012
会议名称	Information and Automation (ICIA), 2012 International Conference on
会议地点	中国
英文摘要	In this paper a regenerative braking energy recovery control strategy for electric vehicle (EV) based on fuzzy logic control is proposed. By analyzing the characteristic and the influence factors of the regenerative braking, the sugeno fuzzy logic controller (FLC) is established. Under assurance of braking safety and stability, the strategy distributes regenerative braking force and frictional braking force reasonably during braking, to make use of regenerative braking characteristic of motor as much as possible, so that much more kinetic energy can be converted into electric energy and stored in the battery. Model based on fuzzy logic control was established under the Matlab/Simulink environment and embedded into simulation software ADVISOR. Simulation experiments with different driving cycles were carried out, and the feasibility and effectiveness of fuzzy logic control strategy is tested with the state of charge (SOC) and braking energy recovery.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/3818]
专题	深圳先进技术研究院_集成所
作者单位	2012
推荐引用方式 GB/T 7714	Hao Zhang,Guoqing Xu,Weimin Li,et al. Fuzzy Logic Control in Regenerative Braking System for Electric Vehicle[C]. 见:Information and Automation (ICIA), 2012 International Conference on. 中国.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。