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Study of YSC used for all Electric Independent Driving and Braking Electric Vehicle based on Fuzzy PI Control

机译:基于模糊PI控制的所有电动独立驾驶和制动电动汽车的YSC研究

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Vehicle handling and stability performance is the premise of giving full play to the performance advantages of all electric independent driving and braking electric vehicle (abbr. AIDBEV). This paper presents the working principle of yaw stability control (abbr. YSC) used for AIDBEV. The YSC adopts fuzzy PI control algorithm. For verifying the control effect of YSC, a simulation platform based on fifteen degrees of freedom vehicle model is built. The sinusoidal steering with amplitude and period increasing is used for simulation. According to the simulation results, the yaw rate can be controlled near the target value when YSC works, but the vehicle is unstable when YSC does not work. Take front left wheel as an example, the maximum braking torque of EMB is reduced by 372.9Nm, accounting for 58% of the total braking torque, and the working time of EMB is reduced by 0.265s, accounting for 49.53% of total working time. This can provide potentiality to optimize EMB. By coupled brake, IWM can recover energy 18.77kJ. It has certain energy saving effect, too.
机译:车辆处理和稳定性表现是充分发挥所有电动独立驾驶和制动电动车(ABBR)的性能优势的前提。本文介绍了用于AIDBEV的偏航稳定性控制(ABBR.YSC)的工作原理。 YSC采用模糊PI控制算法。为验证YSC的控制效果,构建了基于十五自由车型的仿真平台。具有幅度和周期增加的正弦转向用于仿真。根据仿真结果,当YSC工作时,可以在目标值附近控制横摆率,但是当YSC不起作用时,车辆是不稳定的。以前左轮为例,胚胎的最大制动扭矩减少了372.9nm,占总制动扭矩的58%,胚胎的工作时间减少了0.265秒,占总工作时间的49.53% 。这可以提供优化胚胎的潜力。通过耦合制动器,IWM可以恢复能源18.77KJ。它也有一定的节能效果。

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