DocumentCode :
2654412
Title :
Sensitivity analysis of vehicle performance to transmission parameters in parallel HEVs with dynamic programming optimization
Author :
Lai, Lin ; Ehsani, Mehrdad
Author_Institution :
Texas A&M Univ., College Station, TX, USA
fYear :
2012
fDate :
18-20 June 2012
Firstpage :
1
Lastpage :
5
Abstract :
It is well known that hybrid electric vehicles (HEVs) have fewer requirements to transmission due to the favorable performance of electric motor for traction. However, multi-gear transmission with more gears is still beneficial in improving acceleration and fuel economy performance of the vehicles than one with fewer gears, even not as much as in conventional vehicles. On the other hand, use of multi-gear transmission with more gears inevitably adds complexity to vehicle structure and control, consequently resulting in high cost. In this paper, the sensitivity of vehicle performance to transmission gears for a parallel HEV has been analyzed by using SOC based Dynamic Programming. The results generated in this paper provide helpful guidance for HEV design.
Keywords :
dynamic programming; hybrid electric vehicles; sensitivity analysis; traction; SOC based dynamic programming optimization method; acceleration economy performance; electric motor; fuel economy performance; multigear transmission; parallel HEV; parallel hybrid electric vehicles; state-of-charge dynamic programming optimization method; traction; transmission parameters; vehicle performance sensitivity analysis; Engines; Fuels; Gears; Hybrid electric vehicles; System-on-a-chip; Wheels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Transportation Electrification Conference and Expo (ITEC), 2012 IEEE
Conference_Location :
Dearborn, MI
Print_ISBN :
978-1-4673-1407-7
Electronic_ISBN :
978-1-4673-1406-0
Type :
conf
DOI :
10.1109/ITEC.2012.6243448
Filename :
6243448
Link To Document :
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