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
Link To Document