dc.contributor.author | Ing, Adam H. | |
dc.contributor.author | McPhee, John | |
dc.date.accessioned | 2017-05-17 18:03:15 (GMT) | |
dc.date.available | 2017-05-17 18:03:15 (GMT) | |
dc.date.issued | 2015-11-04 | |
dc.identifier.uri | https://doi.org/10.1504/IJEHV.2015.074671 | |
dc.identifier.uri | http://hdl.handle.net/10012/11912 | |
dc.description | Ing, A. H., & McPhee, J. (2015). Automated topology optimisation of hybrid electric vehicle powertrains. International Journal of Electric and Hybrid Vehicles, 7(4), 342. Final version published by Inderscience Publishers, and available at: https://doi.org/10.1504/IJEHV.2015.074671 | en |
dc.description.abstract | Gasoline and electric powertrain components can be connected in numerous configurations to create hybrid powertrains. Owing to the exponential increase of permutations as the number of components increases, a framework to determine the best possible powertrain configuration that minimises fuel consumption was developed. This framework uses enumeration to discover all powertrains, the Graph-Theoretic Method to generate system equations, dynamic programming to evaluate fuel consumption and generate an objective score, and Pattern Search to optimise the sizing of each component. A multi-stage screening process was used to reduce computation time. Parallel and powersplit-like topologies with additional discrete gearboxes were found to be the most efficient. The best performing topology is a powersplit hybrid type: a discrete gearbox connected to the final drive, with the output gear of the planetary carrier and electric motor in parallel. | en |
dc.description.sponsorship | The project is funded by Toyota, Maplesoft, and NSERC. | en |
dc.language.iso | en | en |
dc.publisher | Inderscience publishers | en |
dc.subject | HEV's | en |
dc.subject | Hybrid Electric Vehicles | en |
dc.subject | Hybrid Vehicles | en |
dc.subject | Vehicle Powertrains | en |
dc.subject | Topology Optimisation | en |
dc.subject | Linear Graph Theory | en |
dc.subject | Design Automation | en |
dc.subject | Fuel Consumption | en |
dc.subject | Powertrain Configuration | en |
dc.title | Automated topology optimisation of hybrid electric vehicle powertrains | en |
dc.type | Article | en |
dcterms.bibliographicCitation | Ing, A. H., & McPhee, J. (2015). Automated topology optimisation of hybrid electric vehicle powertrains. International Journal of Electric and Hybrid Vehicles, 7(4), 342. https://doi.org/10.1504/IJEHV.2015.074671 | en |
uws.contributor.affiliation1 | Faculty of Engineering | en |
uws.contributor.affiliation2 | Systems Design Engineering | en |
uws.typeOfResource | Text | en |
uws.peerReviewStatus | Reviewed | en |
uws.scholarLevel | Faculty | en |