Networked architecture for hybrid electrical energy storage systems

Younghyun Kim, Sangyoung Park, Naehyuck Chang, Qing Xie, Yanzhi Wang, Massoud Pedram

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations

Abstract

A hybrid electrical energy storage (HEES) system that consists of multiple, heterogeneous electrical energy storage (EES) elements is a promising solution to achieve a cost-effective EES system because no storage element has ideal characteristics. The state-of-the-art HEES systems are based on a shared-bus charge transfer interconnect (CTI) architecture. Consequently, they are quite limited in scalability which is a function of the number of EES banks. This paper is the first introduction of a HEES system based on a networked CTI architecture, which is highly scalable and is capable of accommodating multiple, concurrent charge transfers. The paper starts by presenting a router architecture for the networked CTI and an effective on-line routing algorithm for multiple charge transfers. In the proposed algorithm, negotiated congestion (NC) routing for multiple charge transfers is performed and any lack of routing resources is addressed by merging two or more charge transfers while maximizing the overall energy efficiency by setting the optimal voltage level for the shared CTI. Examples of the proposed networked CTI are presented and the efficacy of the routing algorithm is demonstrated on a mesh-grid networked CTI.

Original languageEnglish (US)
Title of host publicationProceedings - Design Automation Conference
Pages522-528
Number of pages7
DOIs
StatePublished - 2012
Externally publishedYes
Event49th Annual Design Automation Conference, DAC '12 - San Francisco, CA, United States
Duration: Jun 3 2012Jun 7 2012

Other

Other49th Annual Design Automation Conference, DAC '12
CountryUnited States
CitySan Francisco, CA
Period6/3/126/7/12

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Keywords

  • charge transfer interconnect
  • hybrid electrical energy storage
  • routing algorithm

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Modeling and Simulation

Cite this

Kim, Y., Park, S., Chang, N., Xie, Q., Wang, Y., & Pedram, M. (2012). Networked architecture for hybrid electrical energy storage systems. In Proceedings - Design Automation Conference (pp. 522-528) https://doi.org/10.1145/2228360.2228453