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Title: Predictive modeling and reducing cyclic variability in autoignition engines

Abstract

Methods and systems are provided for controlling a vehicle engine to reduce cycle-to-cycle combustion variation. A predictive model is applied to predict cycle-to-cycle combustion behavior of an engine based on observed engine performance variables. Conditions are identified, based on the predicted cycle-to-cycle combustion behavior, that indicate high cycle-to-cycle combustion variation. Corrective measures are then applied to prevent the predicted high cycle-to-cycle combustion variation.

Inventors:
; ; ;
Issue Date:
Research Org.:
The Regents of the University of Wisconsin, Ann Arbor, MI (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1312576
Patent Number(s):
9429096
Application Number:
13/621,539
Assignee:
The Regents of the University of Wisconsin
Patent Classifications (CPCs):
Y - NEW / CROSS SECTIONAL TECHNOLOGIES Y02 - TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE Y02T - CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
F - MECHANICAL ENGINEERING F02 - COMBUSTION ENGINES F02D - CONTROLLING COMBUSTION ENGINES
DOE Contract Number:  
EE0003533
Resource Type:
Patent
Resource Relation:
Patent File Date: 2012 Sep 17
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; 33 ADVANCED PROPULSION SYSTEMS

Citation Formats

Hellstrom, Erik, Stefanopoulou, Anna, Jiang, Li, and Larimore, Jacob. Predictive modeling and reducing cyclic variability in autoignition engines. United States: N. p., 2016. Web.
Hellstrom, Erik, Stefanopoulou, Anna, Jiang, Li, & Larimore, Jacob. Predictive modeling and reducing cyclic variability in autoignition engines. United States.
Hellstrom, Erik, Stefanopoulou, Anna, Jiang, Li, and Larimore, Jacob. Tue . "Predictive modeling and reducing cyclic variability in autoignition engines". United States. https://www.osti.gov/servlets/purl/1312576.
@article{osti_1312576,
title = {Predictive modeling and reducing cyclic variability in autoignition engines},
author = {Hellstrom, Erik and Stefanopoulou, Anna and Jiang, Li and Larimore, Jacob},
abstractNote = {Methods and systems are provided for controlling a vehicle engine to reduce cycle-to-cycle combustion variation. A predictive model is applied to predict cycle-to-cycle combustion behavior of an engine based on observed engine performance variables. Conditions are identified, based on the predicted cycle-to-cycle combustion behavior, that indicate high cycle-to-cycle combustion variation. Corrective measures are then applied to prevent the predicted high cycle-to-cycle combustion variation.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2016},
month = {8}
}

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Works referenced in this record:

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Observing and modeling nonlinear dynamics in an internal combustion engine
journal, March 1998