DocumentCode :
2619318
Title :
Modeling market development of electric vehicles
Author :
Wansart, Joerg ; Schnieder, Eckehard
Author_Institution :
Inst. of Traffic Safety & Autom. Eng., Tech. Univ. Braunschweig, Braunschweig, Germany
fYear :
2010
fDate :
5-8 April 2010
Firstpage :
371
Lastpage :
376
Abstract :
Automobile powertrains are so far predominantly based on internal combustion engines burning fossil fuels so far. However, due to mandatory emission reduction and rising oil prices hybrid and full electric vehicles are about to be introduced in mass markets. Given their high costs, small range and missing recharging infrastructure, electric vehicles do not seem to be competitive enough compared to conventional powertrains to gain significant market share. This paper examines how such an infrastructure-dependent innovation can succeed on the long term in competition with an incumbent technology. A dynamic model is presented that contains cost, range, and infrastructure development as dynamic effects which drive adoption. The model is analyzed further in a simulation study, where the strength of feedback effects is evaluated. From this study it has to be concluded that it is primarily a quickly growing customer awareness that enables long-term market growth for electric vehicles. Quick cost reduction for batteries also has a significant effect, but it is less significant than awareness.
Keywords :
automobile industry; electric vehicles; hybrid electric vehicles; automobile powertrains; batteries cost reduction; customer awareness; emission reduction; fossil fuels; hybrid electric vehicles; infrastructure development; infrastructure-dependent innovation; internal combustion engines; long-term market growth; market development modeling; oil prices; battery electric vehicles; diffusion; innovation adoption; system dynamics; systems thinking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Conference, 2010 4th Annual IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-5882-0
Type :
conf
DOI :
10.1109/SYSTEMS.2010.5482453
Filename :
5482453
Link To Document :
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