• DocumentCode
    2858716
  • Title

    Optimal charging strategies in lithium-ion battery

  • Author

    Klein, R. ; Chaturvedi, N.A. ; Christensen, J. ; Ahmed, J. ; Findeisen, R. ; Kojic, A.

  • Author_Institution
    Res. & Tech. Center, Robert Bosch LLC, Palo Alto, CA, USA
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    382
  • Lastpage
    387
  • Abstract
    There is a strong need for advanced control methods in battery management systems, especially in the plug-in hybrid and electric vehicles sector, due to cost and safety issues of new high-power battery packs and high-energy cell design. Limitations in computational speed and available memory require the use of very simple battery models and basic control algorithms, which in turn result in suboptimal utilization of the battery. This work investigates the possible use of optimal control strategies for charging. We focus on the minimum time charging problem, where different constraints on internal battery states are considered. Based on features of the open-loop optimal charging solution, we propose a simple one-step predictive controller, which is shown to recover the time-optimal solution, while being feasible for real-time computations. We present simulation results suggesting a decrease in charging time by 50% compared to the conventional constant-current / constant-voltage method for lithium-ion batteries.
  • Keywords
    battery management systems; hybrid electric vehicles; lithium; safety; secondary cells; Li; battery management systems; charging strategies; high-energy cell design; high-power battery packs; lithium-ion battery; minimum-time charging problem; plug-in hybrid electric vehicles; safety issues; suboptimal utilization; Batteries; Electrodes; Equations; Mathematical model; Optimal control; Simulation; System-on-a-chip;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2011
  • Conference_Location
    San Francisco, CA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-0080-4
  • Type

    conf

  • DOI
    10.1109/ACC.2011.5991497
  • Filename
    5991497