Multi-objective optimisation for battery electric vehicle powertrain topologies
Electric 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.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/09544070
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Supplemental Notes:
- Reprinted by permission of Sage Publications, Ltd.
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Authors:
- Othaganont, Pongpun
- Assadian, Francis
- Auger, Daniel J
- Publication Date: 2017-7
Language
- English
Media Info
- Media Type: Web
- Features: Figures; References; Tables;
- Pagination: pp 1046-1065
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Serial:
- Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering
- Volume: 231
- Issue Number: 8
- Publisher: Sage Publications Limited
- ISSN: 0954-4070
- EISSN: 2041-2991
- Serial URL: http://pid.sagepub.com/content/current
Subject/Index Terms
- TRT Terms: Electric vehicles; Energy consumption; Optimization; Power trains; Topology
- Subject Areas: Energy; Highways; Vehicles and Equipment;
Filing Info
- Accession Number: 01646371
- Record Type: Publication
- Files: TRIS
- Created Date: Jul 11 2017 11:28AM