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):
-
F - MECHANICAL ENGINEERING F02 - COMBUSTION ENGINES F02B - INTERNAL-COMBUSTION PISTON ENGINES
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 = {Tue Aug 30 00:00:00 EDT 2016},
month = {Tue Aug 30 00:00:00 EDT 2016}
}
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