The invention is suitable for the technical field of vehicle control, and particularly relates to a vehicle, an air bag controller and an ignition prediction method thereof. The method comprises the following steps: acquiring real vehicle collision data at the current moment, respectively filtering the real vehicle collision data by using a first filter and a second filter to obtain first real vehicle data and second real vehicle data, judging whether ignition prediction is started at the current moment according to the first real vehicle data, and if the ignition prediction is started at the current moment, starting the ignition prediction. If yes, feature extraction is carried out on the second real vehicle data to obtain a real vehicle feature vector, the real vehicle feature vector is input into the logistic regression model, a prediction result representing whether ignition is carried out or not is output, the prediction result is used for enabling an air bag controller to output an air bag ignition instruction when ignition is represented, and output ignition control through the logistic regression model is achieved. And complicated algorithm selection and calibration are not needed, so that the development efficiency of the airbag controller is improved, and the influence of external factors on the development of the airbag controller is reduced.
本申请适用于车辆控制技术领域,尤其涉及一种车辆、气囊控制器及其点火预测方法。该方法获取当前时刻的实车碰撞数据,分别使用第一滤波器和第二滤波器对实车碰撞数据进行滤波,得到第一实车数据和第二实车数据,根据第一实车数据,判断在当前时刻是否启动点火预测,若在当前时刻启动点火预测,则对第二实车数据进行特征提取,得到实车特征向量,将实车特征向量输入逻辑回归模型,输出表征点火与否的预测结果,预测结果用于在表征为点火时使能气囊控制器输出气囊点火指令,实现使用逻辑回归模型的输出点火控制,无需复杂的算法选择和标定,从而提高了气囊控制器的开发效率,降低了外部因素对气囊控制器开发的影响。
Vehicle, airbag controller and ignition prediction method thereof
车辆、气囊控制器及其点火预测方法
2024-08-23
Patent
Electronic Resource
Chinese
IPC: | B60R Fahrzeuge, Fahrzeugausstattung oder Fahrzeugteile, soweit nicht anderweitig vorgesehen , VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR |
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