The invention discloses a vehicle rollover risk early warning method based on adaptive unscented Kalman filtering, and the method comprises the steps: obtaining basic state information, such as a transverse acceleration, a longitudinal acceleration, a lateral acceleration, a roll angle, a roll angle speed and a roll angle acceleration, through a sensor in a driving process of a vehicle; and estimating the distance from the center of mass to the roll axis by adopting a self-adaptive unscented Kalman filtering method, calculating the transverse load transfer condition of the vehicle in real time according to a transverse load transfer calculation model, and sending a vehicle rollover early warning signal when the transverse load transfer rate of the vehicle reaches a critical state. The method has the advantages that the distance from the mass center to the roll axis is estimated, the accuracy of estimating the roll state of the vehicle is effectively improved, and the roll safety of the vehicle is improved.
本发明公开一种基于自适应无迹卡尔曼滤波的车辆侧翻风险预警方法,车辆在行驶过程中利用传感器获取基本的状态信息,如横向加速度、纵向加速度、侧向加速度、侧倾角、侧倾角速度及侧倾角加速度,采用自适应无迹卡尔曼滤波方法预估质心到侧倾轴线的距离,根据横向载荷转移计算模型实时计算车辆横向载荷转移情况,当车辆横向载荷转移率达到临界状态时,发出车辆侧翻预警信号。本发明的优点是预估了质心到侧倾轴线的距离,有效地提高车辆侧倾状态预估的准确性,提升车辆的侧翻安全性。
Vehicle rollover risk early warning method based on adaptive unscented Kalman filtering
一种基于自适应无迹卡尔曼滤波的车辆侧翻风险预警方法
2023-12-22
Patent
Electronic Resource
Chinese
European Patent Office | 2020
|European Patent Office | 2022
|European Patent Office | 2021
|