基于霍尔传感器的汽车天窗防夹系统设计

Design of Automotive Sunroof Anti-pinch System Based on Hall Sensor

针对天窗在起翘-滑动过程中,机构阻力导致天窗误防夹的问题,提出了基于高斯模型的天窗防夹控制算法。文中算法采集汽车天窗正常关闭过程中的霍尔脉冲信息,对每个位置的霍尔脉宽进行高斯异常检测模型建模。在运行中采集霍尔脉宽信息,通过高斯模型判断数据是否异常。将异常数据与均值进行差分计算,差分结果与比例因子的乘积进行窗口内累加,通过累加和与标定阈值比较,判断是否发生防夹。经实验测试,该方法可以有效减小机构阻力对天窗防夹的影响并满足国家标准要求。

A Gaussian model-based anti-pinch control algorithm was proposed for the problem of false anti-pinching of sunroofs due to mechanism resistance during the cocking-sliding process.The algorithm captured Hall pulse width information during the normal closing of a car sunroof,and the Gaussian anomaly detection model was built for the Hall pulse width at each position.The Hall pulse width information was collected during operation,and whether the data was abnormal was judged by the Gaussian model.The abnormal data and the mean were calculated differentially,and the product of the difference result and the scale factor was accumulated within the window,and whether anti-pinch occurs was judged by the accumulation sum and comparison with the calibration threshold.After experimental tests,this method can effectively reduce the influence of mechanism resistance on sunroof anti-pinch and meet the requirements of national standards.