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Modeling charging infrastructure impact on the electric vehicle market in China
Institution:1. Energy and Transportation Science Division, Oak Ridge National Laboratory, 2360 Chelahala Blvd, Knoxville, TN 37932, USA;2. Aramco Services Company: Aramco Research Center – Detroit, 46535 Peary Ct, Novi, MI 48377, USA;1. National Transportation Research Center, Oak Ridge National Laboratory, Knoxville, TN 37932, USA;2. China Automotive Technology and Research Center, Dongli District, Tianjin 300300, China;3. Aramco Services Company: Aramco Research Center – Detroit, 46535 Peary Ct, Novi, MI 48377, USA;1. National Transportation Research Center, Oak Ridge National Laboratory, Knoxville, TN 37932, USA;2. Aramco Services Company: Aramco Research Center – Detroit, Novi, MI 48377, USA;1. Plug-In Hybrid & Electric Vehicle Research Center, Institute of Transportation Studies, University of California, Davis, United States;2. UC Davis Graduate School of Management, University of California, Davis, United States;1. School of Electrical Engineering, Southeast University, 210096 Nanjing, China;2. Jiangsu Key Laboratory of Smart Grid Technology and Equipment, 210096 Nanjing, China
Abstract:The plug-in electric vehicle (PEV) is deemed as a critical technological revolution, and the governments are imposing various vehicle policies to promote its development. Meanwhile, the market success of PEVs depends on many aspects. This study integrates one’s use of charging infrastructure at home, public place and workplace into the market dynamics analysis tool, New Energy and Oil Consumption Credits (NEOCC) model, to systematically assess the charging infrastructure (home parking ratio, public charging opportunity, and charging costs) impact on PEV ownership costs and analyze how the PEV market shares may be affected by the attributes of the charging infrastructure. Compared to the charging infrastructure, the impact of battery costs is incontrovertibly decisive on PEV market shares, the charging infrastructure is still non-negligible in the PEV market dynamics. The simulation results find that the public charging infrastructure has more effectiveness on promoting the PEV sales in the PEV emerging market than it does in the PEV mature market. However, the improvement of charging infrastructure does not necessarily lead to a larger PEV market if the charging infrastructure incentives do not coordinate well with other PEV policies. Besides, the increase of public charging opportunities has limited motivations on the growth of public PEV fleets, which are highly correlated to the number of public fast charging stations or outlets. It also finds that more home parking spaces can stimulate more sales of personal plug-in hybrid electric vehicles instead of personal battery electric vehicles.
Keywords:Electric vehicle market  Charging infrastructure  Battery cost  Industry profit  Genetic algorithm
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