Multi-objective optimisation for battery electric vehicle powertrain topologies

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dc.contributor.authorOthaganont, Pongpun
dc.contributor.authorAssadian, Francis
dc.contributor.authorAuger, Daniel J.
dc.date.accessioned2016-11-07T14:15:45Z
dc.date.available2016-11-07T14:15:45Z
dc.date.issued2016-10-06
dc.description.abstractElectric vehicles are becoming more popular in the market. To be competitive, manufacturers need to produce vehicles with a low energy consumption, a good range and an acceptable driving performance. These are dependent on the choice of components and the topology in which they are used. In a conventional gasoline vehicle, the powertrain topology is constrained to a few well-understood layouts; these typically consist of a single engine driving one axle or both axles through a multi-ratio gearbox. With electric vehicles, there is more flexibility, and the design space is relatively unexplored. In this paper, we evaluate several different topologies as follows: a traditional topology using a single electric motor driving a single axle with a fixed gear ratio; a topology using separate motors for the front axle and the rear axle, each with its own fixed gear ratio; a topology using in-wheel motors on a single axle; a four-wheel-drive topology using in-wheel motors on both axes. Multi-objective optimisation techniques are used to find the optimal component sizing for a given requirement set and to investigate the trade-offs between the energy consumption, the powertrain cost and the acceleration performance. The paper concludes with a discussion of the relative merits of the different topologies and their applicability to real-world passenger cars.en_UK
dc.identifier.citationOthaganont P, Assadian F and Auger DJ., Multi-objective optimisation for battery electric vehicle powertrain topologies. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, Volume 231, Issue 8, pp. 1046-1065en_UK
dc.identifier.issn0954-4070
dc.identifier.urihttps://doi.org/10.1177/0954407016671275
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/10948
dc.language.isoenen_UK
dc.publisherProceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineeringen_UK
dc.rightsAttribution-NonCommercial 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectBattery electric vehiclesen_UK
dc.subjectmulti-objective optimizationen_UK
dc.subjectpowertrain topologiesen_UK
dc.titleMulti-objective optimisation for battery electric vehicle powertrain topologiesen_UK
dc.typeArticleen_UK

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