The invention relates to a suspension leveling control method, device and equipment and a computer readable storage medium, and the suspension leveling control method comprises the steps: inputting a height adjustment grade value, a vehicle body height value, a vehicle acceleration value and a vehicle speed value, which are obtained in real time, of a current vehicle into a trained neural network model, and outputting a target height grade; and the suspension is controlled to adjust the current vehicle body height according to the target height grade. The neural network model has the advantages of self-learning, automatic optimization, good fault tolerance and the like, internal features of input data can be automatically learned, a feature extraction algorithm does not need to be manually designed, and the weight of the neural network model can be continuously adjusted in the network training process, so that the neural network model has higher efficiency and accuracy during operation; according to the method, the optimal target height of multiple road sections is output, the comfort of passengers is greatly improved, and the problem that the height of a suspension cannot be adjusted in real time due to the fact that a driver achieves level adjustment of the height of the suspension through a central control screen in a traditional mode is solved.
本申请涉及一种悬架调平控制方法、装置、设备及计算机可读存储介质,所述悬架调平控制方法包括:将实时获取的当前车辆的高度调节等级值、车身高度值、车辆加速度值和车速值输入训练好的神经网络模型中,输出目标高度等级;根据目标高度等级控制悬架对当前车身高度进行调节。神经网络模型具有自学习、自动优化、容错性好等优点,能自动学习输入数据的内在特征,无需人工设计特征提取算法,在网络训练过程中能不断调整自身权重,使得神经网络模型在运行时具有更高的效率和准确性,来输出多路段的最优目标高度,大大提高了乘客的舒适性,解决了传统方式驾驶员通过中控屏实现悬架高度等级调节,悬架高度无法实时调节的问题。
Suspension leveling control method, device and equipment and computer readable storage medium
悬架调平控制方法、装置、设备及计算机可读存储介质
2024-06-11
Patent
Electronic Resource
Chinese
IPC: | B60G VEHICLE SUSPENSION ARRANGEMENTS , Radaufhängungen und Federungen für Fahrzeuge |
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