Caterpillar Inc.

Anand Krishnamurthygopalan

Sylvain Joseph Charbonnel

James Ulstad

Gavin Peter Williams

Kranti Kumar Nellutla

Greg Armstrong

Daniel Reese Puckett

Travis E Barnes

Eric Wade Cler

Steven Y Tian

Kevin J Sergott

Andrew Nathan Schifferer

Samuel Were

Eric A Hutchison

Brian P Brennan

Matthew Colin Mowers

Urvish Joshi

Tyler Bowman

Mark Scaife

Sasidhar Rayasam

Fang Guo

Kirti Tamhane

Laura Huhn

Blake Landon Smith

Aaron D Sollars

Andrew Anderson

Delon R Reyhart

Brooke A Hart

A fuel injector controller is disclosed. The fuel injector controller may determine respective values of a set of parameters of the engine; process, using a neural network, the respective values to determine a target fuel output of a fuel injector, wherein the neural network is configured to determine the target fuel output based on the set of parameters being an input layer of the neural network; determine, based on an output of the neural network, the target fuel output; and provide the determined target fuel output to the fuel injector to permit the fuel injector to inject fuel according to the target fuel output.

Fuel injection control using a neural network

An engine has an injector communicating with a combustion chamber to introduce a plurality of dosing shots to mix with exhaust gases and regenerate an aftertreatment device downstream of the combustion chamber. An apportionment strategy can apportion a per cylinder quantity, representing the quantity of dosing fuel to introduce per cylinder per combustion cycle, among a predefined number of dosing shots each having a first per shot quantity. The strategy compares the predefined number of dosing shots with a temporal dosing window to determine if predefined number of dosing shots can be conducted within the temporal dosing window. If so, the strategy proceeds to introduce the predefined number of dosing shots and if not, the strategy may recalculate a reduced number of dosing shots and reapportions a second per shot quantity.

Fuel apportionment strategy for in-cylinder dosing

Power system optimization is disclosed. An example power system described herein may include an engine control module that receives measurements associated with sensors, identifies settings associated with control devices, determines that a first set of parameters associated with the one or more control devices is to be optimized according to a first optimization process, iteratively performs the first optimization process until the first set of parameters are optimized, determines that a second set of parameters associated with the one or more control devices are to be optimized according to a second optimization process, iteratively performs the second optimization process until the second set of parameters are optimized, and, after the second set of parameters are optimized according to the second optimization process, configures one of the control devices to operate using an optimized value for the control device determined using the second optimization process.

Power system optimization

Power system optimization calibration is disclosed. An example implementation includes receiving, by an engine control module, calibration information associated with optimizing an operating characteristic of a power system; determining, by the engine control module and using an optimization model, an optimization profile to optimize the operating characteristic, wherein the optimization model is configured to perform one or more optimization processes to determine, according to the calibration information, optimized values associated with adjustable parameters of the power system, wherein the optimization profile is configured to include the optimized values; and configuring, by the engine control module, a first control device, associated with a first adjustable parameter of the adjustable parameters, according to the optimization profile, wherein the first control device is configured to control a first component of an engine of the power system to be set according to an optimized value for the first adjustable parameter.

Power system optimization calibration

A cylinder cutout system for an internal combustion engine is provided. The system may include a plurality of cylinders having a first pattern of cylinders and a second pattern of cylinders. Additionally, a fuel governor operatively coupled to a plurality of fuel injectors may regulate an amount of fuel received by the plurality of cylinders. The system may further include a plurality of sensors configured to collect a set of engine data and a controller communicably coupled with the plurality of fuel injectors, the fuel governor and the plurality of sensors. The controller may be programmed to detect a start-up condition of the engine and to execute a cylinder test cycle on at least a portion of the plurality of cylinders based on a positive detection of the start-up condition. The controller may activate one of the first or second patterns of cylinders based on the cylinder test cycle results.

Diesel engine cylinder cutout control system for reduction of white smoke production

A method for operating an internal combustion engine includes monitoring engine parameters using an electronic controller, determining a surge speed limit for the engine based on a compressor map, determining an offset engine speed based on a margin between the surge speed limit and an engine speed, determining a minimum engine speed based on the margin, applying the offset engine speed to an engine speed signal to provide an adjusted engine speed, and applying the adjusted engine speed to a desired engine speed when a speed of the engine approaches the surge speed limit.

Turbocharger compressor anti-surge engine control strategy and method

Growing community of inventors

Edwards, IL, United States of America

Anand Krishnamurthygopalan