摘要
汽车的侧翻预警是有效防止汽车侧翻事故的重要手段.研究了基于MEMS传感器的汽车运动状态在线监测预报系统.此系统采用四元素法对汽车姿态进行解算,并设计Kalman滤波器对传感器误差和姿态解算误差进行融合处理,从而获得汽车最优估计姿态角,并应用自回归(AR)预测模型对侧向加速度和侧倾角进行实时预测.同时研究基于侧向加速度和侧倾角的汽车侧翻预警方法.该方法中采用横向载荷转移率(LTR)为侧翻判别指标,利用对侧倾角与侧向加速度的预测,进而实现LTR的预测,来完成汽车侧翻预警.通过仿真模拟试验验证了侧翻预警方法的有效性.
The rollover warning for a vehicle is an important means to effectively prevent an accident. Based on MEMS sensors, the vehicle attitude is resolved by using a four-element method, a Kalman filter is designed to integrate the sensor errors with the resolution errors, and the best estimated attitude angle of the vehicle is obtained. By applying an Auto-regressive （AR） prediction model, the lateral acceleration and the roll angle of the vehicle are predicted. Based on the above two parameters, the rollover warning method is studied, in which the Lateral Transfer Ratio （LTR） is used as a rollover discrimination indicator. The effectiveness of this rollover warning method is verified through some simulation tests.
出处
《车辆与动力技术》
2013年第2期20-23,27,共5页
Vehicle & Power Technology
