首页> 外国专利> Loading of particulate filter determination method for diesel engine involves using the artificial neural network from measured variables characterizing the engine operating state

Loading of particulate filter determination method for diesel engine involves using the artificial neural network from measured variables characterizing the engine operating state

机译:柴油机颗粒过滤器的负荷确定方法涉及使用人工神经网络从表征发动机运行状态的测量变量

摘要

The method involves training an artificial neural network using the characteristic diagram for a particulate filter in a known state of loading, and loading of particulate filter is determined using the artificial neural network from measured variables characterizing engine operating state. The characteristic diagram indicates pressure difference as a function of exhaust gas temperature and mass. An independent claim is included for a regeneration control system of particulate filter.
机译:该方法包括在已知的加载状态下使用特征图训练用于颗粒过滤器的人工神经网络,并使用人工神经网络从表征发动机工作状态的测量变量中确定颗粒过滤器的负荷。该特性图表明压力差随废气温度和质量的变化而变化。对于颗粒过滤器的再生控制系统包括独立权利要求。

著录项

  • 公开/公告号DE212005000024U1

    专利类型

  • 公开/公告日2007-02-22

    原文格式PDF

  • 申请/专利权人 UMICORE AG & CO. KG;

    申请/专利号DE212005000024U1

  • 发明设计人

    申请日2005-05-24

  • 分类号F01N9;

  • 国家 DE

  • 入库时间 2022-08-21 20:28:51

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