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Method for training an emission prediction model of an internal combustion engine

机译:培养内燃机发射预测模型的方法

摘要

The invention relates to a method for training an emissions prediction model of an internal combustion engine. The method comprises a step of acquiring a first set of data comprising a plurality of pollutant gas emission measurements, one measurement being associated with at least one particular stabilized engine parameter, a step of acquiring a second set of data comprising, for a plurality of acquisition times during a real driving cycle, a measurement of pollutant gas emission associated with at least one engine parameter at the time of acquisition, a step of determining d '' at least one hyperparameter of the prediction model by cross-validation of training data from the first data set with validation data from the second data set, and a step of training the prediction model from the first set data and hyperparameter. The invention also relates to a method of predicting emissions from a model trained according to the training method. Figure 1
机译:本发明涉及一种用于训练内燃机的排放预测模型的方法。 该方法包括获取包括多个污染物气体发射测量的第一组数据的步骤,与至少一个特定的稳定发动机参数相关联,该测量相关联,该测量是获取多个获取的第二组数据的步骤 在实际驾驶循环期间的时间,在获取时的与至少一个发动机参数相关联的污染物气体发射的测量,通过训练数据的交叉验证来确定D''至少一个超参数的预测模型的步骤 使用来自第二数据集的验证数据设置的第一数据,以及从第一组数据和HyperParameter培训预测模型的步骤。 本发明还涉及根据训练方法从培训的模型预测排放的方法。 图1

著录项

  • 公开/公告号FR3107979A1

    专利类型

  • 公开/公告日2021-09-10

    原文格式PDF

  • 申请/专利权人 CONTINENTAL AUTOMOTIVE;

    申请/专利号FR2002259

  • 发明设计人 GRÉGORY VIAL;

    申请日2020-03-06

  • 分类号G06Q50/30;B60W10/06;B60W20/16;G06F17/10;G06N3/02;G06N3/08;

  • 国家 FR

  • 入库时间 2024-06-14 22:03:00

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