• 专利标题: METHOD FOR DETERMINING A CHARACTERISTIC VARIABLE OF A SOLENOID VALVE AND METHOD FOR TRAINING A PATTERN RECOGNITION METHOD BASED ON ARTIFICIAL INTELLIGENCE
  • 申请号: US17942959
    申请日: 2022-09-12
  • 公开(公告)号: US20230100963A1
    公开(公告)日: 2023-03-30
  • 发明人: Marc Neufeld
  • 申请人: Robert Bosch GmbH
  • 申请人地址: DE Stuttgart
  • 专利权人: Robert Bosch GmbH
  • 当前专利权人: Robert Bosch GmbH
  • 当前专利权人地址: DE Stuttgart
  • 优先权: DE102021210321.9 20210917
  • 主分类号: F02D41/14
  • IPC分类号: F02D41/14 F02D41/20 F02D41/24 F02D41/22
METHOD FOR DETERMINING A CHARACTERISTIC VARIABLE OF A SOLENOID VALVE AND METHOD FOR TRAINING A PATTERN RECOGNITION METHOD BASED ON ARTIFICIAL INTELLIGENCE
摘要:
A method for determining a characteristic variable for opening and/or closing a flow-through opening of a solenoid valve, in which solenoid valve a solenoid coil is energized to raise an armature to open the flow-through opening for a fluid. During operation of the solenoid valve, a profile of a current in the solenoid coil being determined, and using a pattern recognition method based on artificial intelligence, the characteristic variable(s) is/are determined based on at least one section of the profile or a profile derived therefrom using a neural network. A method for applying and for training a pattern recognition method based on artificial intelligence are also described.
信息查询
0/0