• DocumentCode
    3426545
  • Title

    Optimal control of multi-battery energy-aware systems

  • Author

    Wang, Tao ; Cassandras, Christos G.

  • Author_Institution
    Div. of Syst. Eng. & Center for Inf. & Syst. Eng., Boston Univ., Boston, MA, USA
  • fYear
    2011
  • fDate
    12-15 Dec. 2011
  • Firstpage
    1497
  • Lastpage
    1502
  • Abstract
    We study the problem of optimally controlling a set of non-ideal rechargeable batteries that can be shared to perform a given amount of work over some specified time period. We seek to maximize the minimum residual energy among all batteries at the end of this period by optimally controlling the discharging and recharging process at each battery. Modeling a battery as a dynamic system, we adopt a Kinetic Battery Model (KBM) and formulate an optimal control problem under the constraint that discharging and recharging cannot occur at the same time. We show that the optimal solution must result in equal residual energies for all batteries as long as such a policy is feasible. This simplifies the task of subsequently deriving explicit solutions for the problem.
  • Keywords
    optimal control; power system control; secondary cells; discharging process; dynamic system modeling; kinetic battery model; multi-battery energy aware system; optimal control; rechargeable batteries; recharging process; residual energy; Batteries; Computational modeling; Discharges; Mathematical model; Optimal control; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control and European Control Conference (CDC-ECC), 2011 50th IEEE Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-61284-800-6
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2011.6160467
  • Filename
    6160467