基于多工况匹配的商用车侧翻预警方法

摘要/Abstract

摘要： 提出了一种MTTR(matched time-to-rollover)侧翻预警方法，该方法的关键是如何实时准确地获得车辆侧倾角和侧倾角速度。为此，利用卡尔曼滤波来估计侧倾角速度;同时，提出了三种侧倾角估计方法，以适应不同的侧翻工况，并且利用模糊推理完成工况匹配。基于以上方案，以J转向、鱼钩、双移线工况作为典型的车辆侧翻工况，在TruckSim/Simulink软件中进行了联合仿真。结果表明，MTTR侧翻预警方法能够更为直接、准确地反映车辆距离侧倾发生所剩余的时间，具有更好的预警效果。

关键词: 车辆工程, 侧翻预警, 联合仿真, 侧倾角估计, 模糊推理

Abstract: A MTTR(matched time-to-rollover) rollover warning method was proposed herein. The key of this method was the way to obtain the roll angles and roll rates of the vehicles instantaneously and accurately.For this purpose, Kalman filter algorithm was used to estimate the yaw angle rates, three estimation methods of roll angles of commercial vehicles were suggested to adapt to different rollover conditions, and the fuzzy logic inference was established to complete the identification and matching of the rollover situations. Based on the scheme above, taking J-turn, fishhook and double land condition(DLC) as the typical rollover conditions, the co-simulation of TruckSim/Simulink was made. The results show that this MTTR warning method is able to reflect the remaining time to rollover more directly and accurately, which has better warning effectiveness.

Key words: vehicle engineering, rollover warning, co-simulation, estimation of roll angle, fuzzy inference

中图分类号:

U461.91

陈可际, 过学迅, 裴晓飞. 基于多工况匹配的商用车侧翻预警方法[J]. 中国机械工程.

Chen Keji, Guo Xuexun, Pei Xiaofei. Rollover Warning of Commercial Vehicles Based on Multiple Condition Matching[J]. China Mechanical Engineering.

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