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Model-based predictive regulation of an electric machine of a motor vehicle drive train

机译:基于模型的机动车传动系电机预测调节

摘要

The invention concerns a processor unit (3) for model-based predictive regulation of an electric machine (8) of a drive train (7) of a motor vehicle (1),where the processor unit (3) is designed to perform an MPC algorithm (13) for model-based predictive control of an electric machine (8) of a drive train (7) of a motor vehicle (1). The MPC algorithm (13) contains a longitudinal dynamic model (14) of the drive train (7) and a cost function to be minimized (15). The cost function (15) contains as the first term an electrical energy weighted with a first weighting factor and predetermined according to the longitudinal dynamic model (14),which is supplied within a prediction horizon by a battery (9) of the drive train (7) to drive the electric machine (8). The cost function (15) shall include, as a second term, a driving time weighted by a second weighting factor and predetermined according to the longitudinal dynamic model (14), which the vehicle (1) needs in order to return the entire path predetermined within the prediction horizon. The processor unit (3) is designed to determine an input size for the electric machine (8) by running the MPC algorithm (13) depending on the first term and depending on the second term,so that the cost function is minimized.
机译:本发明涉及一种处理器单元(3),用于机动车辆(1)的传动系(7)的基于电机(8)的模型的预测调节,其中处理器单元(3)设计用于执行MPC用于机动车辆(1)的传动系(7)的电机(8)的基于模型的预测控制的算法(13)。 MPC算法(13)包含传动系(7)的纵向动态模型(14),以及最小化的成本函数(15)。成本函数(15)包含作为第一术语,其具有根据纵向动态模型(14)的第一加权因子和预定的电能,其通过传动系的电池(9)在预测地平线内提供( 7)驱动电机(8)。成本函数(15)应包括作为第二项由第二加权因子加权的驱动时间和根据纵向动态模型(14),该驱动器(1)需要返回预定的整个路径在预测地平线内。处理器单元(3)被设计为通过运行MPC算法(13)来确定电机(8)的输入尺寸,根据第一项并取决于第二项,使得成本函数被最小化。

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