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A combining sliding mode control approach for electric motor anti-lock braking system of battery electric vehicle

机译:电池电动汽车电动机防闸制动系统的相结合滑模控制方法

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摘要

In this paper, a combining sliding mode control (cSMC) approach of electric motor anti-lock braking system (emABS) is proposed to improve braking stability of battery electric vehicle (BEV). Two key variables, both wheel deceleration and slip ratio are utilized to design the emABS control law. Wheel deceleration directly characterizes the wheel speed, and slip ratio straightly characterizes some adhesion coefficient of ground. Based on sliding mode control CSMC) algorithm, two control laws of wheel deceleration and slip ratio are designed, the formula structures of which are very similar. At the same time, Lyapunov stability and robustness performance of the two control laws are proved, respectively. During the vehicle test, an interesting phenomenon was discovered that the SMC system of the wheel deceleration has fast transient response, and the slip ratio is more stability during stable control phase. The reason is that, the wheel deceleration can be measured accurately in the beginning, and the slip ratio can be computed accurately during stable control phase. Therefore, a SMC algorithm combined with wheel deceleration and slip ratio is designed for the control of emABS. With respect to low and high adhesion coefficient conditions, two simulation scenarios are utilized to validate the cSMC algorithm. In addition, the control strategy is verified on the test of BEV based on two road surfaces, the wet and the dry, respectively. These experimental results indicate that the proposed cSMC algorithm is a good candidate for the control of emABS.
机译:在本文中,提出了一种电动机防锁制动系统(EMABS)的相结模式控制(CSMC)方法以提高电池电动车辆(BEV)的制动稳定性。两个关键变量,轮盘减速和滑移比例用于设计Emabs控制法。车轮减速直接表征车轮速度,滑移比直接表征了一些粘附系数的地面。基于滑动模式控制CSMC)算法,设计了两个控制轮减速和滑动比的控制规律,其公式结构非常相似。与此同时,分别证明了两个控制法律的Lyapunov稳定性和鲁棒性能。在车辆测试期间,发现了一种有趣的现象,即车轮减速的SMC系统具有快速的瞬态响应,并且在稳定的控制阶段期间滑移比更稳定。原因在于,可以在开始时准确地测量车轮减速,并且在稳定的控制阶段期间可以精确地计算滑动比率。因此,设计与车轮减速和滑动比的SMC算法用于控制Emabs。关于低粘附系数条件,利用两个模拟场景来验证CSMC算法。此外,基于两条路面,湿和干燥的BeV测试,验证了控制策略。这些实验结果表明,所提出的CSMC算法是对EMABs控制的好候选者。

著录项

  • 来源
    《Control Engineering Practice》 |2020年第9期|104520.1-104520.11|共11页
  • 作者单位

    Automotive Research Institute Hefei University of Technology Hefei 230009 People's Republic of China;

    School of Automotive and Transportation Engineering Hefei University of Technology Hefei 230009 People's Republic of China;

    School of Automotive and Transportation Engineering Hefei University of Technology Hefei 230009 People's Republic of China;

    School of Automotive Studies Tongji University Shanghai 201804 People's Republic of China Clean Energy Automotive Engineering Center Tongji University Shanghai 201804 People's Republic of China;

    School of Automotive and Transportation Engineering Hefei University of Technology Hefei 230009 People's Republic of China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Electric motor anti-lock braking system; Combining sliding mode control; Wheel deceleration; Slip ratio; Battery electric vehicle;

    机译:电动机防锁制动系统;结合滑模控制;车轮减速;滑移率;电池电动车;

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