The invention relates to the technical field of vehicle control, in particular to a vehicle driving stability self-adaptive control system which comprises a vehicle sensor, a vehicle inertia measurement unit, a longitudinal speed sensor, a hub sensor, a tire pressure sensor and a processor. Yaw rate information, transverse acceleration information and longitudinal speed information of a vehicle, x, y and z acceleration information of vehicle hubs in the three-axis direction, hub rotating speed information and tire pressure information and real-time information data collected by the sensors are received from a vehicle sensor. Through the AI deep learning model, along with accumulation of sensor data and iteration of vehicle control data output, through training and learning of a certain amount of sensor data, the AI deep learning adaptive model is more intelligent, vehicle control is more accurate, vehicle driving is safer and more comfortable, and the form of the vehicle is more stable and safer.
本发明涉及车辆控制技术领域,具体涉及车辆行驶稳定性自适应控制系统,控制系统包括有:车辆传感器、车辆惯性测量单元、纵向速度传感器、轮毂传感器、胎压传感器与处理器,处理器为执行程序指令单元,从车辆传感器中接收车辆的横摆率信息、横向加速度信息、纵向速度信息、车辆轮毂三轴方向的x、y、z加速度信息、轮毂转速信息与轮胎胎压信息,通过传感器收集的实时信息数据。本发明通过AI深度学习模型随着传感器数据的累积和车辆控制数据输出的迭代,经过一定的传感器数据量训练和学习,让AI深度学习自适应模型更智能,车辆控制更精确,使得车辆行驶更安全和舒适,让车辆的形式更加稳定安全。
Vehicle driving stability self-adaptive control system and control method
车辆行驶稳定性自适应控制系统和控制方法
2024-03-19
Patent
Electronic Resource
Chinese
IPC: | B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion |
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