The invention relates to the technical field of vehicles, and particularly discloses a BP neural network-based road feeling simulation method, which comprises the following steps of performing a real vehicle driving test and acquiring data; preprocessing test data; training a BP neural network-based road feel model by using a BP neural network algorithm; testing a road feel model based on the BP neural network; and performing road feel simulation according to the obtained BP neural network-based road feel simulation model. According to the method, the real vehicle driving test is used for collecting data, modeling is conducted through the BP neural network algorithm, the road feeling simulation model based on the BP neural network is obtained, the modeling process is simple, the modeling time is short, the model calculation speed is high, the precision is high, the real-time performance is good, and the defects in the prior art are overcome.

    本发明涉及车辆技术领域,具体公开了一种基于BP神经网络的路感模拟方法,包括以下步骤:进行实车行驶试验并采集数据;试验数据预处理;使用BP神经网络算法训练基于BP神经网络的路感模型;测试基于BP神经网络的路感模型;根据所得的基于BP神经网络的路感模拟模型进行路感模拟。本发明使用实车行驶试验采集数据,采用BP神经网络算法建模,得到基于BP神经网络的路感模拟模型,建模过程简单,建模时间短,模型计算速度快,精度高,实时性好,克服了现有技术的缺陷。


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    Title :

    Road feel simulation method based on BP neural network


    Additional title:

    一种基于BP神经网络的路感模拟方法


    Contributors:
    ZHAO RUI (author) / CAI JINKANG (author) / DENG WEIWEN (author) / DING JUAN (author)

    Publication date :

    2021-04-09


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / B62D MOTOR VEHICLES , Motorfahrzeuge / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung



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