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Optimal Vehicle Control for Fuel Efficiency

Journal Article
ISSN: 1946-391X, e-ISSN: 1946-3928
Published September 29, 2015 by SAE International in United States
Optimal Vehicle Control for Fuel Efficiency
Citation: Lindgärde, O., Feng, L., Tenstam, A., and Soderman, M., "Optimal Vehicle Control for Fuel Efficiency," SAE Int. J. Commer. Veh. 8(2):682-694, 2015,
Language: English


CONVENIENT is a project where prediction and integrated control are applied on several subsystems with electrified actuators.
The technologies developed in this project are applied to a long-haul tractor and semi-trailer combination. A Volvo truck meeting the Eu6 emission standard is rebuilt with a number of controllable electrified actuators. An e-Horizon system collects information about future road topography and speed limits. Controllable aerodynamic wind deflectors reduce the wind drag. The tractor is also equipped with a full digital cluster for human machine interface development.
A primary project goal is to develop a model-based optimal controller that uses predictive information from the e-Horizon system in order to minimize fuel consumption. Several energy buffers are controlled in an integrated and optimal way using model predictive control. Several buffers are considered, such as the cooling system, the battery, and the vehicle kinetic energy. This paper presents details on the model predictive controller of the battery system and of the cooling system.
Another project goal is to reduce fuel consumption by using adaptive aerodynamics. Controllers are developed that automatically sets an optimal roof deflector angle and the optimal side deflector angle. The results presented in this paper are encouraging.
A third focus is the human machine interface and especially the communication between the driver and the control system during driving. This project develops a driver interface that encourages the driver to use the adaptive cruise controller when appropriate.
The CONVENIENT project will be finalized this year. This paper presents the main project findings.