Engine Test Data Quality Requirements for Model Based Calibration: A Testing and Development Efficiency Opportunity Jaguar Land Rover

Format:

Conference/Event

Author/Creator:

Beattie, Beattie, author.

Contributor:

Graupner, Wilhelm

Osborne, Richard P.

Conference Name:

SAE 2013 World Congress & Exhibition (2013-04-16 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2013

Summary:

This paper documents some of the findings from a joint JLR and AVL project which was conducted at the JLR Gaydon test facility in the UK. A testing and development efficiency concept is presented and test data quality is identified as a key factor. In support of this methods are proposed to correctly measure and set targets for data quality with high confidence. An illustrative example is presented involving a Diesel passenger car calibration process which requires response surface models (RSMs) of key engine measured quantities e.g. engine-out emissions and fuel consumption. Methods are proposed that attempt to quantify the relationships between RSM statistical model quality metrics, test data variability measures and design of experiment (DOE) formulation. The methods are tested using simulated and real test data

Notes:

Vendor supplied data

Publisher Number:

2013-01-0351

Access Restriction:

Restricted for use by site license