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Commuter Route Opti...
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Larsson, Viktor,1984Chalmers tekniska högskola,Chalmers University of Technology,Chalmers University of Technology, Sweden
(author)
Commuter Route Optimized Energy Management of Hybrid Electric Vehicles
- Article/chapterEnglish2014
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LIBRIS-ID:oai:research.chalmers.se:0952c591-2d7d-4400-a86a-ed4b1dd6bc96
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https://research.chalmers.se/publication/192983URI
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https://doi.org/10.1109/TITS.2013.2294723DOI
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https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-31945URI
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Language:English
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Summary in:English
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Subject category:art swepub-publicationtype
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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 precomputean optimal solution to the energy management controlproblem with dynamic programming; the obtained solution canthen 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%.
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Johannesson, Lars,1979RISE,Viktoria(Swepub:cth)larsjo
(author)
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Egardt, Bo,1950Chalmers tekniska högskola,Chalmers University of Technology,Chalmers University of Technology, Sweden(Swepub:cth)egardt
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Karlsson, Sten,1951Chalmers tekniska högskola,Chalmers University of Technology,Chalmers University of Technology, Sweden(Swepub:cth)frtsk
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Chalmers tekniska högskolaChalmers University of Technology, Sweden
(creator_code:org_t)
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In:IEEE Transactions on Intelligent Transportation Systems15:3, s. 1145-11541524-90501558-0016
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