Optimal Vehicle Control for Fuel Efficiency
2015 (English)In: SAE International Journal of Commercial Vehicles, ISSN 1946-391X, E-ISSN 1946-3928, Vol. 8, no 2, 682-694 p.Article in journal (Refereed) PublishedText
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.
Place, publisher, year, edition, pages
SAE International , 2015. Vol. 8, no 2, 682-694 p.
Actuators, Adaptive cruise control, Aerodynamic drag, Aerodynamics, Automobile cooling systems, Control system synthesis, Cooling systems, Electric batteries, Fuels, Kinetic energy, Kinetics, Man machine systems, Model predictive control, Printing machinery, Secondary batteries, Thermoelectric equipment, Tractors (truck), Truck transportation, Trucks, Adaptive cruise controllers, Driver interface, Emission standard, Human Machine Interface, Model predictive controllers, Optimal controller, Optimal vehicles, Predictive information, Controllers
Transport Systems and Logistics
IdentifiersURN: urn:nbn:se:kth:diva-181245DOI: 10.4271/2015-01-2875ScopusID: 2-s2.0-84945118923OAI: oai:DiVA.org:kth-181245DiVA: diva2:902273
QC 201602102016-02-102016-01-292016-05-30Bibliographically approved