DocumentCode :
2475918
Title :
Effects of different PHEV control strategies on vehicle performance
Author :
Tulpule, P. ; Marano, V. ; Rizzoni, G.
Author_Institution :
Center for Automotive Res., Ohio State Univ., Columbus, OH, USA
fYear :
2009
fDate :
10-12 June 2009
Firstpage :
3950
Lastpage :
3955
Abstract :
Foreign oil dependence, increased cost of fuel, pollution, global warming are buzz words of today´s era. Automobiles have a large impact on increasing energy demand, pollution and related issues. As a consequence, many efforts are being concentrated on innovative systems for transportation that could replace petroleum with cleaner fuel, i.e. electricity from the power grid. The use of plug-in hybrid electric vehicles (PHEVs) can become a very important change in this direction, since such vehicles could benefit from the increasing availability of renewable energy. PHEVs requires new control and energy management algorithms, that are crucial for vehicle performance. This paper deals with evaluation of two modes, Electric Vehicle (EV) mode and Blended mode, for plug-in hybrid electric vehicles and their comparison with conventional and hybrid electric vehicle performance. In this paper two PHEV architectures are considered: through road parallel plug-in hybrid and series plug-in hybrid. Similar models have been developed to evaluate vehicle performance for conventional and hybrid architectures. Both PHEV architectures are analyzed with two different modes- EV and Blended; a modified version of ECMS (Equivalent Consumption Minimization Strategy) is used for both algorithms. Various standard as well as custom designed driving cycles are used in this analysis. The paper provides quantitative analysis of the control algorithms to analyze their effects on fuel economy, use of electric energy, cost of operation, etc.; these results are compared with the simulations for hybrid and conventional vehicles. Some important relationships between fuel economy, design architectures and control strategies are shown and can be useful in the design of the optimal control algorithms for PHEVs. As shown in the results, the control problem for PHEVs is not limited to fuel economy but it also involves external factors, such as price of electricity, energy market and regulations, charging - availability, battery life issues, etc.
Keywords :
control system synthesis; energy management systems; energy resources; hybrid electric vehicles; optimal control; battery life issues; charging availability; electric energy; energy management algorithms; energy market; energy regulations; equivalent consumption minimization strategy; fuel economy; operation cost; optimal control algorithms design; parallel plug-in hybrid; plug-in hybrid electric vehicles control strategies; renewable energy; series plug-in hybrid; Algorithm design and analysis; Automobiles; Costs; Fuel economy; Global warming; Hybrid electric vehicles; Oil pollution; Optimal control; Petroleum; Transportation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2009. ACC '09.
Conference_Location :
St. Louis, MO
ISSN :
0743-1619
Print_ISBN :
978-1-4244-4523-3
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2009.5160595
Filename :
5160595
Link To Document :
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