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    • 4. 发明申请
    • POWERTRAIN CONTROLLER
    • US20230116281A1
    • 2023-04-13
    • US17913663
    • 2021-03-29
    • Perkins Engines Company Limited
    • Gavin WILLIAMS
    • B60W20/11B60W10/08F02D41/14F02D41/24
    • The present invention relates to a universal powertrain for controlling an effort request and/or a flow request to a powertrain based on a demanded effort or demanded flow for the powertrain. The universal controller includes a configurable powertrain model and a configurable optimiser module. The universal controller is configurable to control a class of generic powertrains comprising J generic power sources, K generic power sinks, and L generic couplings. The universal controller is arranged to receive an input file of a plurality of input parameters to configure the universal controller to control a specific powertrain having a powertrain architecture with N power sources, M power sinks, and X couplings, the configurable powertrain model comprising: (a) a generic powertrain component library configured to provide a model of each of the N power sources, M power sinks and X couplings of the specific powertrain, and (b) a connection parameter module configured to define a model architecture of the N power source models, M power sink models and X coupling models which is representative of the powertrain architecture based on flow weight parameters and effort weight parameters of the input file, the configurable optimiser module comprising: a generic performance objective function library comprising a plurality of configurable performance objective functions from which a cost function is configurable based on input parameters of the input file, wherein the configurable optimiser module is configurable to calculate at least one of an optimised effort request or an optimised flow request for each of the N power sources of the specific powertrain based on: the cost function, the powertrain model of the specific powertrain, the demanded effort request of demanded flow request.
    • 7. 发明申请
    • INTERNAL COMBUSTION ENGINE CONTROLLER
    • US20220205405A1
    • 2022-06-30
    • US17606670
    • 2020-04-20
    • Perkins Engines Company Limited
    • Gavin WILLIAMSPeter LADLOWRidwan KUREEMUNBaoyang DENG
    • F02D41/14F02D41/24
    • An internal combustion engine controller for an internal combustion engine comprising a memory and a processor. The memory is configured to store a plurality of control maps, each control map defining a hypersurface of actuator setpoints for controlling an actuator of the internal combustion engine based on a plurality of input variables to the internal combustion engine controller. The processor comprises a map updating module, a parameter updating module and an engine setpoint module. The map updating module is configured to calculate an optimised hypersurface for at least one of the control maps based on a performance objective function of the internal combustion engine, sensor data from the internal combustion engine, and the plurality of input variables, wherein the performance objective function includes parameters. The parameter updating module is configured to update a parameter of the performance objective function upon determining a change in an operating condition of the internal combustion engine. The parameters comprise one or both of: engine parameters associated with an engine model; and cost parameters associated with a cost function. The map updating module is further configured to update the hypersurface of the control map based on the optimised hypersurface. The engine setpoint module is configured to output a control signal to each actuator based on a location on the hypersurface of the respective control map defined by the plurality of input variables.
    • 8. 发明申请
    • Determining an Estimate of Soot Load in a Diesel Particulate Filter Using a Radio Frequency Sensor
    • US20220195909A1
    • 2022-06-23
    • US17601770
    • 2020-04-07
    • Perkins Engines Company Limited
    • Antony J. EAGER
    • F01N11/00F01N3/021G01N22/00
    • A method of using a radio frequency sensor for determining an estimate of soot load in a diesel particulate filter is disclosed, The method comprises: receiving a first mean attenuation value derived from attenuation values for each of a first plurality of radio frequencies within a first band of radio frequencies detected by the radio frequency sensor; and receiving first standard deviation data for the mean attenuation value relating to the first plurality of radio frequencies within the first band of radio frequencies. The method further comprises: determining whether the standard deviation data exceeds a standard deviation threshold, In the event that the standard deviation data does not exceed a standard deviation threshold, the method uses the first mean attenuation value to infer a value for soot load in the diesel particulate filter, in the event that the standard deviation data exceeds a standard deviation threshold, the method comprises: receiving a second mean attenuation value derived from attenuation values for each of a second plurality of radio frequencies within a. second band of radio frequencies; and receiving second standard deviation data relating to the mean attenuation value for a second plurality of radio frequencies within the second band of radio frequencies detected by the radio frequency sensor, In the event that the second standard deviation data does not exceed the standard deviation threshold, the method uses the second mean attenuation value to infer the value for soot load in the diesel particulate filter.