• DocumentCode
    559945
  • Title

    Cost Estimating and Electric Vehicles Running

  • Author

    Kuang, Nan ; Zhang, Yuan-Biao ; Yu, Ya ; Xie, Dalu

  • Author_Institution
    Electr. & Inf. Coll., Jinan Univ., Zhuhai, China
  • Volume
    2
  • fYear
    2011
  • fDate
    24-25 Sept. 2011
  • Firstpage
    340
  • Lastpage
    343
  • Abstract
    This paper intends to investigate on the feasibility of EV\´s widely use by estimating the differences between fuel vehicles and electric vehicles. With the assumption of technology stability and pure electric engine, we derive certain number of data through several researches to support our model of cost estimating, in which we mainly discussed the environmental and economic aspects. For environmental case, we calculate the comparative cost which corresponds to the profit or loss per electric vehicles (EV) instead of internal - combustion engines vehicles (ICEV). For economic case, we estimate the sum of cost generated by each kind of vehicle, including running cost, energy consumption cost and charging in fracture cost. Accordingly we propose a theoretical model called "METI" to analyze overall effects from all aspects, which combines the theory of life circle with the "MET matrix analysis"; method. The results show a clear effectiveness of our model which can be a tool to help governments and manufactures make decisions.
  • Keywords
    costing; electric vehicles; energy consumption; environmental factors; internal combustion engines; stability; MET matrix analysis; cost estimation; economic aspects; electric engine; electric vehicles running; energy consumption cost; environmental aspects; fracture cost; fuel vehicles; internal combustion engines vehicles; running cost; technology stability; Biological system modeling; Economics; Educational institutions; Electric vehicles; Government; Pollution; METI matrix analysis; cost estimating;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology, Computer Engineering and Management Sciences (ICM), 2011 International Conference on
  • Conference_Location
    Nanjing, Jiangsu
  • Print_ISBN
    978-1-4577-1419-1
  • Type

    conf

  • DOI
    10.1109/ICM.2011.367
  • Filename
    6113537