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Optimal Complete Vehicle Control for Fuel Efficiency
KTH, School of Industrial Engineering and Management (ITM), Machine Design (Dept.), Mechatronics.ORCID iD: 0000-0001-5703-5923
2016 (English)Conference paper, Published paper (Refereed)
Abstract [en]

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
Elsevier, 2016. p. 1087-1096
Keywords [en]
adaptive aerodynamics, energy management, HMI, optimal control, predictive control
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-201823DOI: 10.1016/j.trpro.2016.05.179Scopus ID: 2-s2.0-84991214846OAI: oai:DiVA.org:kth-201823DiVA, id: diva2:1074983
Conference
Transportation Research Procedia
Funder
EU, FP7, Seventh Framework Programme
Note

QC 20170216

Available from: 2017-02-16 Created: 2017-02-16 Last updated: 2017-02-16Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
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Output format
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