• DocumentCode
    2075798
  • Title

    An efficient scheduling algorithm for multiple charge migration tasks in hybrid electrical energy storage systems

  • Author

    Qing Xie ; Di Zhu ; Yanzhi Wang ; Pedram, Massoud ; Younghyun Kim ; Naehyuck Chang

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    2013
  • fDate
    22-25 Jan. 2013
  • Firstpage
    749
  • Lastpage
    754
  • Abstract
    Hybrid electrical energy storage (HEES) systems are comprised of multiple banks of heterogeneous electrical energy storage (EES) elements with distinct properties. This paper defines and solves the problem of scheduling multiple charge migration tasks in HEES systems with the objective of minimizing the total energy drawn from the source banks. The solution approach consists of two steps: (i) Finding the best charging current profile and voltage level setting for the Charge Transfer Interconnect (CTI) bus for each charge migration task, and (ii) Merging and scheduling the charge migration tasks. Experimental results demonstrate improvements of up to 32.2% in the charge migration efficiency compared to baseline setups in an example HEES system.
  • Keywords
    energy storage; scheduling; CTI; HEES systems; charge transfer interconnect; efficient scheduling algorithm; heterogeneous electrical energy storage elements; hybrid electrical energy storage systems; multiple charge migration tasks; source banks; Algorithm design and analysis; Arrays; Batteries; Merging; Prototypes; Scheduling; Scheduling algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design Automation Conference (ASP-DAC), 2013 18th Asia and South Pacific
  • Conference_Location
    Yokohama
  • ISSN
    2153-6961
  • Print_ISBN
    978-1-4673-3029-9
  • Type

    conf

  • DOI
    10.1109/ASPDAC.2013.6509690
  • Filename
    6509690