Adaptive Optimal Estimation and Control for Automotive Engine Systems with Approximate Dynamic Programming

Project Information

AECE

Grant agreement ID: 625531

Project closed

Start date 5 January 2015

End date 4 January 2017

Funded under

• Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)

Total cost € 231 283,20

EU contribution € 231 283,20

Coordinated by

UNIVERSITY OF BRISTOL
United Kingdom

Objective

According to the latest global energy policy, more than 630 million vehicles are expected to be added to the Indian, Chinese, US, and EU fleets between 2000 and 2030. This growth increases requirements for fuel economy and necessitates the development of automotive engine management systems using advanced estimation and control approaches. This project is dedicated to study a novel online optimal adaptive estimation and control framework and to address their applications to engine estimation and control (e.g. torque estimation and air-fuel-ratio (AFR) control) in particular for turbocharged engines. A recently developed bio-inspired approach, approximate dynamic programming (ADP), will be exploited so that the estimation or control for an optimal performance index can be online solved without precise models. A laboratory engine test-rig will be used for experiments. Specific objectives to support the overall project are: 1) Revisit and improve engine models to account for the delays between the intake fuel injection event and torque output induction event; 2) Develop an adaptive parameter estimation approach to determine engine model parameters within finite time and with guaranteed transient performance; 3) Investigate an ADP-based adaptive observer for engine state estimation (e.g. torques, intake pressure); 4) Study ADP-based optimal adaptive control for complex nonlinear systems and exploit its application in terms of engine control to minimize the effect of cyclic dispersion and to allow for improved AFR performance.
The project will be conducted in close collaboration with other academic institutions (University of Bath) and industry (Jaguar Land Rover). The research outcomes could lead to significant advances in both academic research and engineering applications. Thus, it is paving a way for further theoretical developments in optimal theory and also for bridging the gap between optimal adaptive control techniques and their application to automotive systems.

Fields of science

• engineering and technology › environmental engineering › energy and fuels

Programme(s)

• FP7-PEOPLE - Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)

Topic(s)

• FP7-PEOPLE-2013-IEF - Marie-Curie Action: "Intra-European fellowships for career development"

Call for proposal

FP7-PEOPLE-2013-IEF
See other projects for this call

Funding Scheme

MC-IEF - Intra-European Fellowships (IEF)

Coordinator

UNIVERSITY OF BRISTOL

Administrative Contact

Julie Coombs (Mrs.)

• EU contribution: € 231 283,20
• Address: BEACON HOUSE QUEENS ROAD ; BS8 1QU Bristol ; United Kingdom
• Region: South West (England) › Gloucestershire, Wiltshire and Bristol/Bath area › Bristol, City of
• Activity type: Higher or Secondary Education Establishments
• Total cost: No data