Vehicle intelligent control method and device based on tire pressure anomaly classification and storage medium

Abstract

The application relates to a vehicle intelligent control method and device based on tire pressure anomaly grading and a storage medium, and belongs to the technical field of tire pressure monitoring. The method comprises the following steps: determining a tire pressure anomaly grade based on vehicle tire pressure sensor data and wheel speed monitoring data; determining a deviation torque based on the tire pressure anomaly grade and an abnormal wheel position; determining a stability margin grade based on the deviation between an expected yaw rate under the deviation torque and a measured yaw rate, a current vehicle speed and a road adhesion coefficient; and cooperatively controlling an electric power steering system, a braking system and a driving system of the vehicle based on the tire pressure anomaly grade and the stability margin grade. The vehicle intelligent control method based on tire pressure anomaly grading provided by the application upgrades passive alarm of tire pressure anomaly to active intervention, different control strategies can be adopted according to different anomaly severities, and the driving stability of the vehicle under various tire pressure anomaly working conditions is ensured.

Images