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Commuter Route Optimized Energy Management of Hybrid Electric Vehicles
Chalmers University of Technology, Sweden.
RISE, Swedish ICT, Viktoria.
Chalmers University of Technology, Sweden.
Chalmers University of Technology, Sweden.
2014 (English)In: IEEE transactions on intelligent transportation systems (Print), ISSN 1524-9050, E-ISSN 1558-0016, Vol. 15, no 3, p. 1145-1154Article in journal (Refereed) Published
Abstract [en]

Optimal energy management of hybrid electric vehicles requires a priori information regarding future driving conditions; the acquisition and processing of this information is nevertheless often neglected in academic research. This paper introduces a commuter route optimized energy management system, where the bulk of the computations are performed on a server. The idea is to identify commuter routes from historical driving data, using hierarchical agglomerative clustering, and then precompute an optimal solution to the energy management control problem with dynamic programming; the obtained solution can then be transmitted to the vehicle in the form of a lookup table. To investigate the potential of such a system, a simulation study is performed using a detailed vehicle model implemented in the Autonomie simulation environment for MATLAB/Simulink. The simulation results for a plug-in hybrid electric vehicle indicate that the average fuel consumption along the commuter route(s) can be reduced by 4%-9% and battery usage by 10%-15%.

Place, publisher, year, edition, pages
2014. Vol. 15, no 3, p. 1145-1154
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:ri:diva-31945DOI: 10.1109/TITS.2013.2294723Scopus ID: 2-s2.0-84902082731OAI: oai:DiVA.org:ri-31945DiVA, id: diva2:1151803
Available from: 2017-10-24 Created: 2017-10-24 Last updated: 2020-12-01Bibliographically approved

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