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Virtual Test Driving

SAE paper: Optimal engine calibration for individual driving styles

The University of Michigan’s Automotive Research Center introduces an approach for optimal diesel engine calibration in real-time in order to achieve greater fuel economy. Here, the self-learning controller derives the optimal injection timing in a diesel engine corresponding to the driver’s individual driving style.

For developing this technique the TESIS provided its thermodynamic engine model enDYNA Thermo. Unlike conventional engine models, this one allows the simulation of the point of injection timing. Thanks to the self-learning ECU, the fuel consumption is optimized by 8.4% and the emission values are significantly improved.

Read the whole paper about Optimal Engine Calibration for Individual Driving Styles (SAE-Paper, published 1/2008).