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A generalized powertrain design optimization methodology to reduce fuel economy variability in hybrid electric vehicles
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Roy, Hillol K., McGordon, Andrew and Jennings, P. A. (Paul A.) (2014) A generalized powertrain design optimization methodology to reduce fuel economy variability in hybrid electric vehicles. IEEE Transactions on Vehicular Technology, Volume 63 (Number 3). pp. 1055-1070. doi:10.1109/TVT.2013.2283749 ISSN 0018-9545.
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Official URL: http://dx.doi.org/10.1109/TVT.2013.2283749
Abstract
Hybrid electric vehicles (HEVs) are considered to be one of the energy-efficient technologies for near-term sustainability of the transportation sector. Over the years, research has focused on improving fuel economy (FE) for a given drive cycle, but FE variability over a realistic range of real-world driving patterns has been generally overlooked, and this can lead to FE benefits not being fully realized in real-world usage. No systematic methodology exists to reduce FE variability by design optimization of powertrain components. This study proposes a methodology of powertrain component optimization to reduce the FE variability due to variations in driving patterns. In the proposed methodology, powertrain components are optimum over a range of driving patterns of different traffic conditions and driving styles simultaneously. The proposed methodology demonstrates the potential to reduce FE variability by up to 34% over six driving patterns of different traffic conditions and driving styles.
Item Type: | Journal Article | ||||||
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Subjects: | T Technology > TJ Mechanical engineering and machinery T Technology > TL Motor vehicles. Aeronautics. Astronautics |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||
Journal or Publication Title: | IEEE Transactions on Vehicular Technology | ||||||
Publisher: | IEEE | ||||||
ISSN: | 0018-9545 | ||||||
Official Date: | 13 March 2014 | ||||||
Dates: |
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Volume: | Volume 63 | ||||||
Number: | Number 3 | ||||||
Number of Pages: | 26 | ||||||
Page Range: | pp. 1055-1070 | ||||||
DOI: | 10.1109/TVT.2013.2283749 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Restricted or Subscription Access |
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