再生制动器
发动机制动
电子制动力分配系统
临界制动
汽车工程
动态制动
缓速器
练习场
工程类
电动汽车
制动距离
航程(航空)
模糊逻辑
控制理论(社会学)
制动器
计算机科学
制动系统
控制(管理)
功率(物理)
物理
航空航天工程
人工智能
量子力学
作者
Guoqing Xu,Weimin Li,Kun Xu,Zhibin Song
出处
期刊:Energies
[MDPI AG]
日期:2011-09-22
卷期号:4 (9): 1461-1477
被引量:113
摘要
Regenerative braking is an effective approach for electric vehicles (EVs) to extend their driving range. A fuzzy-logic-based regenerative braking strategy (RBS) integrated with series regenerative braking is developed in this paper to advance the level of energy-savings. From the viewpoint of securing car stability in braking operations, the braking force distribution between the front and rear wheels so as to accord with the ideal distribution curve are considered to prevent vehicles from experiencing wheel lock and slip phenomena during braking. Then, a fuzzy RBS using the driver’s braking force command, vehicle speed, battery SOC, battery temperature are designed to determine the distribution between friction braking force and regenerative braking force to improve the energy recuperation efficiency. The experimental results on an “LF620” prototype EV validated the feasibility and effectiveness of regenerative braking and showed that the proposed fuzzy RBS was endowed with good control performance. The maximum driving range of LF620 EV was improved by 25.7% compared with non-RBS conditions.
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