• DocumentCode
    3564232
  • Title

    A cost estimation model to assess the feasibility of Li-Ion battery development based on targeted cost by market approach

  • Author

    Sutopo, W. ; Atikah, N. ; Purwanto, A. ; Danardono, D.P.T.D. ; Nizam, M.

  • Author_Institution
    Dept. of Ind. Eng., Sebelas Maret Univ., Surakarta, Indonesia
  • fYear
    2014
  • Firstpage
    376
  • Lastpage
    380
  • Abstract
    Sebelas Maret University (UNS) as a member of a consortium team for developing national electric vehicle, is developing a lithium battery for energy storage in electric vehicle (EV). Currently, the technology is in the technology development phase for commercialized under the university spin off scheme. In the technology development phase, according to the Goldsmith commercialization model, price identification should be studied before proceeding to the next stage of commercialization. Therefore, this study develops a cost estimation model to assess the feasibility of developed product based on the suitability of the targeted cost by market with the estimated cost. Research approaches to develop the model is parametric method based on activity-based costing. This approach is made to enhance accuracy of the cost estimation. By providing a numerical example into the model, this study can predict the cost of lithium ion battery cell (30Ah). The feasibility assessment carried out by calculating the targeted cost from desire profit and targeted price of market. The targeted cost is calculated as the cut off value to assess the feasibility of the developed product. The developed product feasible, if the estimated cost is equal or less than the targeted cost.
  • Keywords
    battery powered vehicles; costing; energy storage; secondary cells; activity-based costing; cost estimation model; electric vehicle; energy storage; feasibility assessment; lithium ion battery cell; lithium-ion battery development; parametric method; Batteries; Commercialization; Estimation; Manufacturing; Materials; Mathematical model; Numerical models; Cost estimation; electric vehicle battery; lithium ion battery; parametric method; price identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Engineering and Computer Science (ICEECS), 2014 International Conference on
  • Print_ISBN
    978-1-4799-8477-0
  • Type

    conf

  • DOI
    10.1109/ICEECS.2014.7045281
  • Filename
    7045281