再生制动器
汽车工程
制动器
电动汽车
练习场
动态制动
MATLAB语言
控制器(灌溉)
发动机制动
电池(电)
缓速器
计算机科学
航程(航空)
控制(管理)
工程类
功率(物理)
人工智能
农学
量子力学
航空航天工程
物理
操作系统
生物
标识
DOI:10.1088/1742-6596/2492/1/012018
摘要
Abstract The development of regenerative braking technology for a pure electric vehicle is the key technology to solving the current limited range of the electric vehicle. Accurately identifying the driver’s braking intent is fundamental to controlling the braking system of an electric vehicle.A brake intent recognition controller is designed in this paper, which is based on a lot of driving data and fuzzy principles. In addition, two typical regenerative brake control strategies are compared. The simulation results of Matlab/Simulink and AMESim show that the SOC of the power battery increases obviously at different braking intensities of 30 km/h. Besides, energy recovery is up to 20.5%, and battery energy increases by 6.5 wh.
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