• DocumentCode
    3110484
  • Title

    Battery electric vehicle parameters design targeting to cost-benefit objective

  • Author

    Jiuyu Du ; Minggao Ouyang ; Hewu Wang

  • Author_Institution
    State Key Lab. of Automotive Safety & Energy, Tsinghua Univ., Beijing, China
  • fYear
    2012
  • fDate
    9-12 Oct. 2012
  • Firstpage
    1160
  • Lastpage
    1164
  • Abstract
    Developing electric vehicle can reduce crude oil consumption and carbon emission sharply to resolve the problems of energy crisis and climate change of China. EVs require large batteries for energy storage, which affect electric vehicle cost, weight, and performance. More all electric range (AER) means more dispalcement of the fosill fuel, but lead to too expensive to afford for China´s consumers. The electric vehicle design method to tadeoff between performance and cost is very valuable.This paper discussed the parameter optimization design method targeting cost-benefit objective. It analyses the impact of maximum speed, AER on energy efficiency and market competitiveness, based the survey data annalysis of vehicle kilometers daily traveled(VKDT), duty cycle analysis, etc.The mathematic model was proposed to account for the effects of additional batteries on fuel consumption, cost, etc. It can be find that when charged daily, AER of 50km or less, in China, using average small-capacity EVs is less expensive and releases fewer GHGs than conventional vehicles (CVs). By cost-benefit analysis, it can be concluded that for the first generation pure electric vehicle, the micro-size electric suitable for the first phase of development.
  • Keywords
    air pollution control; battery powered vehicles; cost-benefit analysis; AER; CV; China; GHG; VKDT; all-electric range; battery electric vehicle parameter design; carbon emission reduction; climate change; cost-benefit objective; crude oil consumption reduction; duty cycle analysis; electric vehicle cost; electric vehicle performance; electric vehicle weight; energy crisis; energy efficiency; energy storage; first-generation electric vehicle; fossil fuel displacement; fuel consumption; market competitiveness; mathematic model; microsize electric; parameter optimization design method; performance-cost tradeoff; survey data annalysis; vehicle kilometer daily traveled; Acceleration; Lead; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicle Power and Propulsion Conference (VPPC), 2012 IEEE
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4673-0953-0
  • Type

    conf

  • DOI
    10.1109/VPPC.2012.6422512
  • Filename
    6422512