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Method and control unit for estimating a model parameter of a vehicle dynamics model

机译:用于估计车辆动力学模型的模型参数的方法和控制单元

摘要

A method (900) for estimating a current value (505) of a model parameter of a vehicle dynamic vehicle model of a vehicle (100) is described. The method (900) comprises determining (901) a temporal sequence of values of at least one measurement variable with respect to a driving-dynamic state of the vehicle (100). The method (900) further comprises determining (902) a first sequence (701) of first filtered values (711) by filtering the sequence of values with a first filter, and determining (903) a second sequence (702) of second filtered values (712) by filtering the sequence of values with a second filter, the first filter and the second filter being different. The method (900) further comprises determining (904) a current value (505) of the model parameter using a learned neural network (500, 800), the neural network (500, 800) for at least one input node (401) has a first filtered value (711) and at least one input node (401) for a second filtered value (712) and at least one output node (404) for the current value (505) of the model parameter.
机译:描述了一种用于估计车辆(100)的车辆动态车辆模型的模型参数的当前值(505)的方法(900)。方法(900)包括相对于车辆(100)的驾驶动态状态确定(901)至少一个测量变量的值的时间序列。方法(900)还包括通过利用第一滤波器对值的序列进行滤波来确定(902)第一滤波值的第一序列(711),以及确定(903)第二滤波后的值的第二序列(702)。 (712)通过使用第二过滤器过滤值的序列,第一过滤器和第二过滤器是不同的。方法(900)还包括使用学习的神经网络(500、800)确定(904)模型参数的当前值(505),用于至少一个输入节点(401)的神经网络(500、800)具有第一滤波值(711)和用于模型参数的当前值(505)的第二滤波值(712)的至少一个输入节点(401)和至少一个输出节点(404)。

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