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Optimal Slip Ratio Based Fuzzy Control of Acceleration Slip Regulation for Four-Wheel Independent Driving Electric Vehicles

机译:基于最优滑移率的四轮独立驾驶电动汽车加速滑移调节的模糊控制

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摘要

To improve the driving performance and the stability of the electric vehicle, a novel acceleration slip regulation (ASR) algorithm based on fuzzy logic control strategy is proposed for four-wheel independent driving (4WID) electric vehicles. In the algorithm, angular acceleration and slip rate based fuzzy controller of acceleration slip regulation are designed to maintain the wheel slip within the optimal range by adjusting the motor torque dynamically. In order to evaluate the performance of the algorithm, the models of the main components related to the ASR of the four-wheel independent driving electric vehicle are built in MATLAB/SIMULINK. The simulations show that the driving stability and the safety of the electric vehicle are improved for fuzzy logic control compared with the conventional PID control.
机译:为了提高电动汽车的驾驶性能和稳定性,提出了一种基于模糊逻辑控制策略的四轮独立驾驶(4WID)电动汽车加速滑行调节(ASR)算法。在该算法中,设计了基于角加速度和滑移率的加速度滑移调节的模糊控制器,以通过动态调节电动机转矩将车轮滑移保持在最佳范围内。为了评估算法的性能,在MATLAB / SIMULINK中建立了与四轮独立驾驶电动汽车的ASR相关的主要组件模型。仿真表明,与传统的PID控制相比,模糊逻辑控制提高了电动汽车的行驶稳定性和安全性。

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  • 来源
    《Mathematical Problems in Engineering》 |2013年第14期|410864.1-410864.7|共7页
  • 作者单位

    School of Mechanical Engineering, Southeast University, Nanjing 211189, China,State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400044, China;

    School of Mechanical Engineering, Southeast University, Nanjing 211189, China;

    School of Mechanical Engineering, Southeast University, Nanjing 211189, China;

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