期刊
ENERGIES
卷 7, 期 10, 页码 6459-6476出版社
MDPI
DOI: 10.3390/en7106459
关键词
electric vehicle (EV); anti-lock braking system (ABS); sliding mode control; fuzzy logic control
资金
- Natural Science Basic Research Plan in Shaanxi Province of China [2014JM7280]
- Xi'an Science Technology Bureau [CX12177-3]
- Special Fund for Basic Scientific Research of Central Colleges [CHD2010JC014, 2013G3222004]
- Chang'an University Basic Scientific Research Fund
Traditional friction braking torque and motor braking torque can be used in braking for electric vehicles (EVs). A sliding mode controller (SMC) based on the exponential reaching law for the anti-lock braking system (ABS) is developed to maintain the optimal slip value. Parameter optimizing is applied to the reaching law by fuzzy logic control (FLC). A regenerative braking algorithm, in which the motor torque is taken full advantage of, is adopted to distribute the braking force between the motor braking and the hydraulic braking. Simulations were carried out with Matlab/Simulink. By comparing with a conventional Bang-bang ABS controller, braking stability and passenger comfort is improved with the proposed SMC controller, and the chatting phenomenon is reduced effectively with the parameter optimizing by FLC. With the increasing proportion of the motor braking torque, the tracking of the slip ratio is more rapid and accurate. Furthermore, the braking distance is shortened and the conversion energy is enhanced.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据