The invention discloses a vehicle slope estimation method and system based on machine learning and dynamics, and aims to solve the defects of insufficient estimation precision, poor robustness, high sensor cost and the like in the existing vehicle slope estimation method. Firstly, necessary data information is obtained from a vehicle-mounted network bus and a sensor, then the data is preprocessed and divided into a training set and a verification set of the data, then the data sets are used for training a feedforward neural network, then an expansion state observer based on vehicle longitudinal dynamics is constructed, and the vehicle longitudinal dynamics is obtained. And then a variable weighting coefficient is used for solving. According to the method, gradient estimation is carried out by utilizing a machine learning and vehicle dynamics method, the method has the advantages of higher precision and stronger robustness, and reliable gradient signal input is provided for an automobile control system.
本发明公开了一种基于机器学习与动力学的车辆坡度估计方法和系统,旨在解决现有车辆坡度估计方法中估计精度不足、鲁棒性较差、传感器成本较高等缺点。首先通过从车载网络总线和传感器获取必要的数据信息,然后对这些数据进行预处理且划分为数据的训练集以及验证集,之后利用这些数据集进行对前馈神经网络的训练,之后构建基于车辆纵向动力学的扩张状态观测器,之后利用可变加权系数进行求解。本发明利用机器学习以及车辆动力学的方法进行坡度估计,具有精度较高以及鲁棒性较强的优点,为汽车控制系统提供了可靠的坡度信号输入。
Vehicle gradient estimation method and system based on machine learning and dynamics
一种基于机器学习与动力学的车辆坡度估计方法和系统
2023-08-18
Patent
Electronic Resource
Chinese
IPC: | G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / 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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