Predictive modeling and reducing cyclic variability in autoignition engines

US9429096B2 · kind B2 · utility

Assignees

• Robert Bosch GmbH · DE
• The Regents of the University of Wisconsin · US

Inventors

• Erik Hellstrom · Ann Arbor, US
• Anna Stefanopoulou · Ann Arbor, US
• Li Jiang · Beijing, CN
• Jacob Larimore · Ann Arbor, US

Key dates

• Filing date: Sep 17, 2012
• Grant date: Aug 30, 2016
• Expiry date: Jul 2, 2035

Classification

• Technology area (CPC Y): Emerging Cross-Sectional Technologies
• CPC primary: Y02T10/40
• WIPO field: Engines, pumps, turbines
• WIPO sector: Mechanical engineering

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.