The invention relates to the technical field of data processing, in particular to a vehicle stability intelligent expectation control method based on an integrated chassis, and the method comprises the steps: obtaining a lane line feature deep learning network based on vehicle parameters and road information; identifying the road features based on the network model; performing self-learning and self-correction of the features based on the prediction features and the identification features of the network; predicting the curvature radius of the road based on the road features; and controlling the motion stability of the vehicle based on the road curvature radius. According to the method, the vehicle parameters and the road features of the vehicle are extracted, the future driving route is predicted in advance, feedback learning is carried out, the curvature radius is corrected, the accuracy of the curvature radius can be improved, and then the motion stability of the vehicle can be accurately controlled.
本发明涉及数据处理技术领域,具体涉及基于集成底盘的车辆稳定性智能预期控制方法,该方法包括:基于车辆参数和道路信息的车道线特征深度学习网络;基于所述网络模型,识别所述道路特征;基于所述网络的预测特征和识别特征进行所述特征的自学习和自修正;基于所述道路特征,预测所述道路的曲率半径;基于所述道路曲率半径,控制所述车辆的运动稳定性。该方法通过提取车辆的车辆参数以及道路特征,对未来行驶的路线进行提前的预测,以及反馈学习,从而对曲率半径进行修正,能够提高曲率半径的准确度,进而能够准确控制车辆的运动稳定性。
Vehicle stability intelligent expected control method based on integrated chassis
基于集成底盘的车辆稳定性智能预期控制方法
15.04.2025
Patent
Elektronische Ressource
Chinesisch
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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