• DocumentCode
    3643829
  • Title

    Electric vehicle charge optimization including effects of lithium-ion battery degradation

  • Author

    Anderson Hoke;Alexander Brissette;Dragan Maksimović;Annabelle Pratt;Kandler Smith

  • Author_Institution
    University of Colorado, Boulder
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    This paper presents a method for minimizing the cost of electric vehicle (EV) charging given variable electricity costs while also accounting for estimated costs of battery degradation using a simplified lithium-ion battery lifetime model. The simple battery lifetime model, also developed and presented here, estimates both energy capacity fade and power fade due to temperature, state of charge profile, and daily depth of discharge. This model has been validated by comparison with a detailed model [6], which in turn has been validated through comparison to experimental data. The simple model runs quickly in a MATLAB script, allowing for iterative numerical minimization of charge cost. EV charge profiles optimized as described here show a compromise among four trends: charging during low-electricity cost intervals, charging slowly, charging towards the end of the available charge time, and suppression of vehicle-to-grid power exportation. Finally, simulations predict that batteries charged using optimized charging last longer than those charged using typical charging methods, potentially allowing smaller, cheaper batteries to meet vehicle lifetime requirements.
  • Keywords
    "Batteries","Degradation","Mathematical model","System-on-a-chip","Vehicles","Data models","Approximation methods"
  • Publisher
    ieee
  • Conference_Titel
    Vehicle Power and Propulsion Conference (VPPC), 2011 IEEE
  • ISSN
    1938-8756
  • Print_ISBN
    978-1-61284-248-6
  • Type

    conf

  • DOI
    10.1109/VPPC.2011.6043046
  • Filename
    6043046