Development of model-based estimation algorithms for estimating brake and vehicle parameters

Development of estimation methods for determining brake performance in order to monitor the condition of the brake coating and to increase driving comfort during brake blending and automated driving.

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Description

The upcoming Euro-7-Regulation for passenger car emissions includes new requirements for fine dust particles emitted by brake pads in addition to the existing exhaust emission standards. In order to comply with the regulations, coated brake discs will be used in future AUDI AG vehicles, as they promise low particulate emissions. The condition of the coating has to be monitored by estimating brake parameters (in particular the brake friction coefficient) in order to comply with the particulate matter requirements. Furthermore, precise models for estimating the brake friction coefficient increase driving comfort, as they improve deceleration in the comfort-oriented brake-blending and during automated driving.

Goals

Development of model-based estimation algorithms to determine the brake friction coefficient in order to monitor the condition of the coating. In combination with other brake and tire parameters, inferences on the braking performance have to be investigated in order to increase driving comfort during brake blending and automated driving. The algorithms developed will be validated in simulations using vehicle measurements and then tested in a test vehicle.

Coordinator

This image shows Nico Heinemann

Nico Heinemann

M.Sc.

Research Assistant

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