• DocumentCode
    67747
  • Title

    Accounting for Lithium-Ion Battery Degradation in Electric Vehicle Charging Optimization

  • Author

    Hoke, Anderson ; Brissette, A. ; Smith, K. ; Pratt, A. ; Maksimovic, Dragan

  • Author_Institution
    Univ. of Colorado, Boulder, CO, USA
  • Volume
    2
  • Issue
    3
  • fYear
    2014
  • fDate
    Sept. 2014
  • Firstpage
    691
  • Lastpage
    700
  • Abstract
    This paper presents a method for minimizing the cost of vehicle battery 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 and includes effects due to temperature, state of charge profile, and daily depth of discharge. This model has been validated by comparison with a detailed model developed at National Renewable Energy Laboratory, which in turn has been validated through comparison with experimental data. The simple model runs quickly, allowing for iterative numerical minimization of charge cost, implemented on the charger controller. Resulting electric vehicle (EV) charge profiles show a compromise among four trends: 1) charging during low-electricity cost intervals; 2) charging slowly; 3) charging toward the end of the available charge time; and 4) suppression of vehicle-to-grid power exportation. Simulations based on experimental Prius plug-in hybrid EV usage data predict that batteries charged using optimized charging last significantly longer than those charged using typical charging methods, potentially allowing smaller batteries to meet vehicle lifetime requirements. These trends are shown to hold across a wide range of battery sizes and hence are applicable to both EVs and plug-in hybrid EVs.
  • Keywords
    battery powered vehicles; hybrid electric vehicles; iterative methods; minimisation; secondary cells; EV charge profiles; charger controller; electric vehicle charging optimization; energy capacity fade; iterative numerical minimization; lithium-ion battery degradation; lithium-ion battery lifetime model; low-electricity cost intervals; plug-in hybrid EV; power fade; state of charge profile; variable electricity costs; vehicle-to-grid power exportation; Approximation methods; Batteries; Data models; Degradation; Optimization; System-on-chip; Vehicles; Battery chargers; battery degradation; charge optimization; electric vehicles (EVs); lithium-ion (Li-ion);
  • fLanguage
    English
  • Journal_Title
    Emerging and Selected Topics in Power Electronics, IEEE Journal of
  • Publisher
    ieee
  • ISSN
    2168-6777
  • Type

    jour

  • DOI
    10.1109/JESTPE.2014.2315961
  • Filename
    6784141