Gm Global Technolgoy Operations, Inc.

Daniel P Himes

J Michael Gwidt

Mark D Carr

Jeffrey M Hutmacher

Andrew M Shaw

Daniel S Dimoski

Jonathan A Law

Haresh Dayaljee Varu

Methods and systems are provided for controlling a drive system in a hybrid electric vehicle. In an exemplary embodiment, the drive system has combustion engine and an electric motor, and a method includes: obtaining, via one or more sensors, sensor data pertaining to the hybrid electric vehicle; determining, via a processor, whether cold start emission reduction is required, based on the sensor data; and providing an increase in torque provided by the electric motor, via instructions provided by the processor to the drive system, when it is determined that the cold start emission reduction is required.

Method and system for controlling cold start emission reduction

Presented are multi-pulse fuel injection systems for monitoring engine fuel injectors for missed pulses, methods for making/using such systems, and vehicles equipped with such systems. A method of operating a fuel injection system includes an engine controller determining if the system's injectors are operating in a multi-pulse mode for injecting multiple fuel pulses per combustion cycle to an engine's cylinders and, if so, monitoring pulse signals transmitted to the injectors for injecting the multiple fuel pulses. For each combustion cycle for each injector, the controller flags a cylinder misfire if any one of the fuel pulses for that combustion cycle is missed. For each cylinder, the controller calculates a misfire ratio of a total number of cylinder misfires to a total number of combustion cycles; if one of these misfire ratios exceeds a calibrated misfire limit, the controller commands a resident subsystem to execute control operations to mitigate the misfires.

Multi-pulse fuel injection systems and control logic for port fuel injection pulse monitoring in engine assemblies

In accordance with exemplary embodiments, methods and systems are provided for controlling fuel injection by a fuel injector of a direct injection engine. In one embodiment, a method includes: storing, in a first data storage device, a first table of values; storing, in a second data storage device, a second table of values; and adjusting, via instructions provided by a processor of the vehicle, a minimum mass value used to control the fuel injection based on an injector learned value, the first table, and the second table, wherein the injector learned value is set based on an amount of injector learning completed.

Enhanced minimum mass limit for direct injection engines

In accordance with exemplary embodiments, methods and systems are provided for controlling particulate filter regeneration for a particulate filter of a drive system of a vehicle, including: obtaining sensor data pertaining to the drive system via one or more sensors of the vehicle; determining, via a processor of the vehicle, when particulate filter regeneration is warranted, using the sensor data; and providing particulate filter regeneration while performing scavenging with respect to the drive system, via instructions provided by the processor, when it is determined that particulate filter regeneration is warranted.

Scavenging for particulate filter regeneration

A method of operating a fuel injector includes determining a fuel pressure and a total fuel mass Mto be injected per combustion cycle, defining first and second pulse widths PWand PWcorresponding to first and second commanded fuel masses CMand CMwherein CM+CM=M, actuating the injector for the first and second pulse widths, detecting an opening delay for the injector, and storing the opening delay. The method may further include increasing PWand decreasing PWby a predetermined amount, repeating selected steps until PWis less than or equal to a predetermined minimum pulse width, changing the fuel pressure by a predetermined pressure amount, cycling through selected steps until the fuel pressure reaches a predetermined target fuel pressure, and commanding the injector to open earlier than a normally commanded opening time by a lead time based on stored opening delay data.

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West Bloomfield, MI, United States of America

Daniel P Himes