DocumentCode :
29690
Title :
A Generalized Powertrain Design Optimization Methodology to Reduce Fuel Economy Variability in Hybrid Electric Vehicles
Author :
Roy, Hillol Kumar ; McGordon, Andrew ; Jennings, Paul A.
Author_Institution :
WMG, Univ. of Warwick, Coventry, UK
Volume :
63
Issue :
3
fYear :
2014
fDate :
Mar-14
Firstpage :
1055
Lastpage :
1070
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.
Keywords :
finite element analysis; fuel economy; hybrid electric vehicles; power transmission (mechanical); road traffic; transportation; FE benefits; FE variability; HEV; design optimization; energy-efficient technologies; fuel economy variability; generalized powertrain design optimization methodology; hybrid electric vehicles; near-term sustainability; powertrain component optimization; powertrain components; traffic conditions; transportation sector; variability; Batteries; Engines; Iron; Mechanical power transmission; Optimization; System-on-chip; Vehicles; Batteries; design methodology; genetic algorithms (GAs); internal combustion (IC) engines; motors;
fLanguage :
English
Journal_Title :
Vehicular Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9545
Type :
jour
DOI :
10.1109/TVT.2013.2283749
Filename :
6613533
Link To Document :
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